Stocklake — AI Stock Intelligence

dev.stocklake/stocklakeVersion 1.0.0

AI stock intelligence: prices, fundamentals, technicals, news, macro regime, and sector signals.

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Claude Code

claude mcp add --transport http stocklake https://api.stocklake.dev/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: stocklake
Remote MCP server URL: https://api.stocklake.dev/mcp

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{
  "mcpServers": {
    "stocklake": {
      "url": "https://api.stocklake.dev/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"stocklake","type":"http","url":"https://api.stocklake.dev/mcp"}'

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Tools

22 tools

Tools of Stocklake — AI Stock Intelligence
	Description		Read-only	Idempotent	Open world
`get_analyst_trend`How analyst consensus on a stock has moved over time - the trajectory of the rating and price targets, not just today's value. Answers "are analysts getting more or less positive on this name?", which get_stock's single current analyst_rating / analyst_target cannot. Returns one row per day, oldest to newest, up to `days` (max 365, default 90): - date: YYYY-MM-DD - analyst_rating: consensus label (strong_buy/buy/hold/underperform/sell/strong_sell) or null - analyst_rating_score: numeric consensus, 1.0 (strong buy) to 5.0 (sell) - LOWER is more positive. The same scale as get_stock's analyst_rating_score. - analyst_count: number of analysts contributing - analyst_target: mean price target - analyst_target_high / analyst_target_low / analyst_target_median: target spread - price: the stock's price on the snapshot date, so the target can be read against where the stock actually traded Snapshots are taken once per weekday, so a 90-day window is roughly 60 rows. A field is null on a day where the source reported none - analyst_rating in particular can be null on a day when the price targets are present. A weekday can be missing entirely if the daily snapshot did not run; such days are not reconstructed, the date is simply absent. Coverage: most of the tracked universe has a usable history; a symbol with fewer than 2 snapshots returns an empty `snapshots` list with a note rather than a single stranded point. History begins July 2026 and grows daily. For the current analyst view alone, get_stock is enough. For price/indicator history, see get_indicator_history - this tool is analyst consensus only. Pro tier only. For informational purposes only. Not financial advice.	How analyst consensus on a stock has moved over time - the trajectory of the rating and price targets, not just today's value. Answers "are analysts getting more or less positive on this name?", which get_stock's single current analyst_rating / analyst_target cannot. Returns one row per day, oldest to newest, up to `days` (max 365, default 90): - date: YYYY-MM-DD - analyst_rating: consensus label (strong_buy/buy/hold/underperform/sell/strong_sell) or null - analyst_rating_score: numeric consensus, 1.0 (strong buy) to 5.0 (sell) - LOWER is more positive. The same scale as get_stock's analyst_rating_score. - analyst_count: number of analysts contributing - analyst_target: mean price target - analyst_target_high / analyst_target_low / analyst_target_median: target spread - price: the stock's price on the snapshot date, so the target can be read against where the stock actually traded Snapshots are taken once per weekday, so a 90-day window is roughly 60 rows. A field is null on a day where the source reported none - analyst_rating in particular can be null on a day when the price targets are present. A weekday can be missing entirely if the daily snapshot did not run; such days are not reconstructed, the date is simply absent. Coverage: most of the tracked universe has a usable history; a symbol with fewer than 2 snapshots returns an empty `snapshots` list with a note rather than a single stranded point. History begins July 2026 and grows daily. For the current analyst view alone, get_stock is enough. For price/indicator history, see get_indicator_history - this tool is analyst consensus only. Pro tier only. For informational purposes only. Not financial advice.	No	Yes	Yes	No
`get_earnings_calendar`Upcoming earnings dates for stocks in the Stocklake universe. - days: look-ahead window in days (default 7, max 30) - limit: max companies to return. Free and guest get at most 5, whatever limit says: the companies with the largest market cap, listed by date, each counted as one call toward your daily limit. Pro gets up to 500 companies per call (default 100) for one call. A window can hold 1,000+ reporters; page with offset, or narrow with symbols / min_market_cap / a smaller days. - offset: Pro only. Skips that many companies (sorted by date). Pass the response's next_offset to get the next page. - symbols: only these tickers (up to 50). Applied before limit. - min_market_cap: only companies with at least this market cap in USD. - Returns: { window_days, from_date, to_date, count, total_in_window, offset, next_offset, results[] }. total_in_window counts the companies that match your filters, before limit/offset; next_offset is null on the last page (Free and guest: always null). - Each result: symbol, name, sector, market_cap, price, rsi, earnings_date (ISO UTC), is_estimate, eps_trailing, eps_forward - Sorted by earnings_date ascending. - Dates sourced from market data - treat is_estimate=true dates as approximate. Available to all tiers.	Upcoming earnings dates for stocks in the Stocklake universe. - days: look-ahead window in days (default 7, max 30) - limit: max companies to return. Free and guest get at most 5, whatever limit says: the companies with the largest market cap, listed by date, each counted as one call toward your daily limit. Pro gets up to 500 companies per call (default 100) for one call. A window can hold 1,000+ reporters; page with offset, or narrow with symbols / min_market_cap / a smaller days. - offset: Pro only. Skips that many companies (sorted by date). Pass the response's next_offset to get the next page. - symbols: only these tickers (up to 50). Applied before limit. - min_market_cap: only companies with at least this market cap in USD. - Returns: { window_days, from_date, to_date, count, total_in_window, offset, next_offset, results[] }. total_in_window counts the companies that match your filters, before limit/offset; next_offset is null on the last page (Free and guest: always null). - Each result: symbol, name, sector, market_cap, price, rsi, earnings_date (ISO UTC), is_estimate, eps_trailing, eps_forward - Sorted by earnings_date ascending. - Dates sourced from market data - treat is_estimate=true dates as approximate. Available to all tiers.	No	Yes	Yes	No
`get_earnings_intelligence`Upcoming earnings with AI context - AI scores, verdicts, and risk factors per stock. Combines the earnings calendar with AI pipeline data to surface which upcoming earnings events are worth monitoring. Parameters: - days_ahead: look-ahead window in days (default 14, max 30) - sector: filter to one sector (e.g. "Technology") - min_ai_score: only return stocks with AI score >= this value, 0-100 (optional). Gates on the same ai_score field the response returns. Applied server-side before `limit` truncates the result - a stock with a qualifying score always counts against `limit` ahead of one without, rather than being cut off first for reporting later in the earnings window. - limit: max results to return (default 25, max 25). Each returned ticker counts as one call toward your daily limit - see the docs' rate-limit section. Returns per stock (sorted by earnings_date ascending): - earnings_date: ISO UTC timestamp · is_estimate: whether date is estimated - symbol, name, sector, price, rsi, market_cap - eps_trailing, eps_forward (earnings expectations context) - ai_verdict (positive/neutral/negative, from nightly AI pipeline) - ai_score (0-100) / ai_score_band (Weak/Moderate/Strong/Very Strong) - the AI research composite score, same 0-100 scale and bands as signal_score but a separate score; null if this stock has no AI summary yet. - ai_risks: top 2 AI-identified risk factors - analyst_rating, analyst_target Pro tier only - AI pipeline cost attached. For informational purposes only. Not financial advice.	Upcoming earnings with AI context - AI scores, verdicts, and risk factors per stock. Combines the earnings calendar with AI pipeline data to surface which upcoming earnings events are worth monitoring. Parameters: - days_ahead: look-ahead window in days (default 14, max 30) - sector: filter to one sector (e.g. "Technology") - min_ai_score: only return stocks with AI score >= this value, 0-100 (optional). Gates on the same ai_score field the response returns. Applied server-side before `limit` truncates the result - a stock with a qualifying score always counts against `limit` ahead of one without, rather than being cut off first for reporting later in the earnings window. - limit: max results to return (default 25, max 25). Each returned ticker counts as one call toward your daily limit - see the docs' rate-limit section. Returns per stock (sorted by earnings_date ascending): - earnings_date: ISO UTC timestamp · is_estimate: whether date is estimated - symbol, name, sector, price, rsi, market_cap - eps_trailing, eps_forward (earnings expectations context) - ai_verdict (positive/neutral/negative, from nightly AI pipeline) - ai_score (0-100) / ai_score_band (Weak/Moderate/Strong/Very Strong) - the AI research composite score, same 0-100 scale and bands as signal_score but a separate score; null if this stock has no AI summary yet. - ai_risks: top 2 AI-identified risk factors - analyst_rating, analyst_target Pro tier only - AI pipeline cost attached. For informational purposes only. Not financial advice.	No	Yes	Yes	No
`get_economic_calendar`Upcoming and recently-released macro/economic events -- interest rate decisions, CPI, GDP, PMI, unemployment, payrolls, retail sales, and more. Two buckets: - released_recent: events with a real reported value, within the last `lookback_days` days. Every item here carries a real `actual` value (never blank) plus `diff` (actual minus previous -- a plain arithmetic difference, never a beat/miss or consensus judgment; point-in-time consensus is not available). - upcoming: not-yet-released events within `days`. No item here ever carries an `actual` value. Every item in both buckets carries `key_event`: true for the handful of event types that reliably move markets on their own (rate decisions, CPI, GDP, headline Non-Farm Payrolls) -- an event-TYPE flag only, never a beat/miss or directional judgment on the number itself. Set `key_events_only=true` to filter to just these, or `major_only=true` to restrict to the 8 largest economies. Both buckets sort major-economy-first, then by recency -- truncating to `limit` should never lose a US/EU/UK/JP/CN/DE/FR/CA print to an older or thinner-economy one. All tiers. Guest and free: days max 1 (default 1), lookback_days max 2, limit max 20. Pro: days max 14 (default 3), lookback_days max 7, limit max 50. When a guest/free value is above its cap, the response is served at the cap and carries `capped` ({param: {requested, served}}) plus a `pro_unlocks` note. For informational purposes only. Not financial advice.	Upcoming and recently-released macro/economic events -- interest rate decisions, CPI, GDP, PMI, unemployment, payrolls, retail sales, and more. Two buckets: - released_recent: events with a real reported value, within the last `lookback_days` days. Every item here carries a real `actual` value (never blank) plus `diff` (actual minus previous -- a plain arithmetic difference, never a beat/miss or consensus judgment; point-in-time consensus is not available). - upcoming: not-yet-released events within `days`. No item here ever carries an `actual` value. Every item in both buckets carries `key_event`: true for the handful of event types that reliably move markets on their own (rate decisions, CPI, GDP, headline Non-Farm Payrolls) -- an event-TYPE flag only, never a beat/miss or directional judgment on the number itself. Set `key_events_only=true` to filter to just these, or `major_only=true` to restrict to the 8 largest economies. Both buckets sort major-economy-first, then by recency -- truncating to `limit` should never lose a US/EU/UK/JP/CN/DE/FR/CA print to an older or thinner-economy one. All tiers. Guest and free: days max 1 (default 1), lookback_days max 2, limit max 20. Pro: days max 14 (default 3), lookback_days max 7, limit max 50. When a guest/free value is above its cap, the response is served at the cap and carries `capped` ({param: {requested, served}}) plus a `pro_unlocks` note. For informational purposes only. Not financial advice.	No	Yes	Yes	No
`get_indicator_history`Historical daily indicator snapshots for a stock - ideal for charting and trend detection. Returns up to `days` days of data (max 730, default 90) from the stock_indicator_snapshots collection which is populated daily by the indicator pipeline. Every snapshot row contains: - recorded_at: ISO date string - price: closing price at snapshot time - rsi: RSI(14) value (0-100) - macd_histogram: MACD histogram value (positive = upward momentum) - bb_pct: Bollinger Band % position (0 = at lower, 100 = at upper band) - sma20 / sma200: 20-day and 200-day simple moving averages With full=true, each row also gets: - williams_r: Williams %R (0 to -100; >-20 overbought, <-80 oversold) - ultimate_osc: Ultimate Oscillator (0-100; >70 overbought, <30 oversold) - vix_fix_value: Williams VIX Fix synthetic fear gauge (higher = more fear) - williams_ad_trend: Accumulation/Distribution trend (rising/falling/flat) - td_signal: DeMark TD Sequential count, named for the move that is running out (DOWNTREND_EXHAUSTION_SETUP / UPTREND_EXHAUSTION_SETUP / DOWNTREND_EXHAUSTION_COUNTDOWN / UPTREND_EXHAUSTION_COUNTDOWN / null) - td_phase: DeMark phase (setup_active/setup_complete/countdown_active/countdown_done/null) - analyst_rating: analyst consensus (buy/outperform/hold/underperform/sell or null) - analyst_target: mean analyst price target or null Returns {} if fewer than 3 snapshots found. Pro tier only. For informational purposes only. Not financial advice.	Historical daily indicator snapshots for a stock - ideal for charting and trend detection. Returns up to `days` days of data (max 730, default 90) from the stock_indicator_snapshots collection which is populated daily by the indicator pipeline. Every snapshot row contains: - recorded_at: ISO date string - price: closing price at snapshot time - rsi: RSI(14) value (0-100) - macd_histogram: MACD histogram value (positive = upward momentum) - bb_pct: Bollinger Band % position (0 = at lower, 100 = at upper band) - sma20 / sma200: 20-day and 200-day simple moving averages With full=true, each row also gets: - williams_r: Williams %R (0 to -100; >-20 overbought, <-80 oversold) - ultimate_osc: Ultimate Oscillator (0-100; >70 overbought, <30 oversold) - vix_fix_value: Williams VIX Fix synthetic fear gauge (higher = more fear) - williams_ad_trend: Accumulation/Distribution trend (rising/falling/flat) - td_signal: DeMark TD Sequential count, named for the move that is running out (DOWNTREND_EXHAUSTION_SETUP / UPTREND_EXHAUSTION_SETUP / DOWNTREND_EXHAUSTION_COUNTDOWN / UPTREND_EXHAUSTION_COUNTDOWN / null) - td_phase: DeMark phase (setup_active/setup_complete/countdown_active/countdown_done/null) - analyst_rating: analyst consensus (buy/outperform/hold/underperform/sell or null) - analyst_target: mean analyst price target or null Returns {} if fewer than 3 snapshots found. Pro tier only. For informational purposes only. Not financial advice.	No	Yes	Yes	No
`get_insider_activity`Get insider transactions (regulatory insider filings for the US and several European markets) and, on Pro, the AI read plus institutional holdings for a stock. Every tier (guest/free/pro) gets the filing facts: insider_buys and insider_sells over the window (echoed as window_days), transactions (the individual rows behind those counts, newest first, each with date/name/role/type/shares/price/value), summary (a one-line factual readout computed from those same rows -- counts, dollar totals, date range -- so it can never disagree with them), source/source_name (which filing feed was used), and updated_at (when the filings were last fetched). Free/guest: a 90-day window (a larger `days` is capped at 90, see days_note), the 5 most recent rows (transactions_note says how many more there are), and pro_unlocks describing what Pro adds. No AI fields and no institutional holders. Pro: `days` up to 365, up to 50 rows, plus signal (POSITIVE/NEGATIVE/ NEUTRAL etc.), signal_score (0-100, higher = stronger/more notable - the exact same field, formula, scale and bands as get_signals()'s signal_score) with signal_score_band, insider_signal/inst_signal, ai_commentary (a separately-generated AI narrative on its own refresh cadence, with ai_commentary_as_of - it can lag the transactions; trust `summary`/the rows if they disagree), top_holders (a union of multiple data sources, up to 15, each with name/shares/pct_held/sources/ share_counts_by_source - the last two show which source(s) contributed to a merged row and each one's own reported share count), holder_count_ divergence (null unless every matched holder disagrees by the same systemic multiplier across sources - e.g. an unrecorded reverse split - a signal top_holders.shares may be unreliable for this symbol), inst_ownership (0-100%), and total_holders. For informational purposes only. Not financial advice.	Get insider transactions (regulatory insider filings for the US and several European markets) and, on Pro, the AI read plus institutional holdings for a stock. Every tier (guest/free/pro) gets the filing facts: insider_buys and insider_sells over the window (echoed as window_days), transactions (the individual rows behind those counts, newest first, each with date/name/role/type/shares/price/value), summary (a one-line factual readout computed from those same rows -- counts, dollar totals, date range -- so it can never disagree with them), source/source_name (which filing feed was used), and updated_at (when the filings were last fetched). Free/guest: a 90-day window (a larger `days` is capped at 90, see days_note), the 5 most recent rows (transactions_note says how many more there are), and pro_unlocks describing what Pro adds. No AI fields and no institutional holders. Pro: `days` up to 365, up to 50 rows, plus signal (POSITIVE/NEGATIVE/ NEUTRAL etc.), signal_score (0-100, higher = stronger/more notable - the exact same field, formula, scale and bands as get_signals()'s signal_score) with signal_score_band, insider_signal/inst_signal, ai_commentary (a separately-generated AI narrative on its own refresh cadence, with ai_commentary_as_of - it can lag the transactions; trust `summary`/the rows if they disagree), top_holders (a union of multiple data sources, up to 15, each with name/shares/pct_held/sources/ share_counts_by_source - the last two show which source(s) contributed to a merged row and each one's own reported share count), holder_count_ divergence (null unless every matched holder disagrees by the same systemic multiplier across sources - e.g. an unrecorded reverse split - a signal top_holders.shares may be unreliable for this symbol), inst_ownership (0-100%), and total_holders. For informational purposes only. Not financial advice.	No	Yes	Yes	No
`get_market_assessment`Combined AI market assessment: macro regime + market outlook in a single call. Refreshed ~4x/day, weekdays only, during market hours (~2h apart) - dead overnight and on weekends, not a continuous 4-hourly cadence. Check regime_stale/outlook_stale below (which already account for the weekend gap) before treating either as current, especially on a Monday morning. Two distinct perspectives returned together: - REGIME (RISK_OFF/CAUTIOUS/NEUTRAL/AGGRESSIVE): answers "how much equity risk to take" → use for position sizing and asset allocation decisions - OUTLOOK (POSITIVE/NEUTRAL/NEGATIVE): answers "which direction and sectors to trade" → use for sector preference and directional bias Both share the same pipeline run so they are always in sync. - history_count: include last N prior assessments for each (0-3, default 0) - regime_*: risk posture fields - regime, risk_appetite_score (0-100 re-expression of regime, higher = current conditions support more risk-taking), regime_bias, regime_bias_note (plain sentence on whether current conditions favor long or short setups, or neither), regime_confidence, regime_rationale, key_risks, watch_for, vix_at_assessment, regime_updated_at, regime_stale - macro_score / regime_strength: macro_score is a real, continuous 0-100 read on how much risk the current environment supports (0=RISK_OFF/capital preservation, 100=AGGRESSIVE/risk-on) - the same underlying number `regime` buckets into 4 discrete categories, blending arithmetic inputs (VIX level, breadth oversold/overbought skew, SKEW-vs-VIX divergence, TD-exhaustion ratio) with regime_strength, the AI's own 1-10 read of regime conviction. Distinct from risk_appetite_score (a coarse 4-value lookup on `regime` alone) - macro_score is the real underlying number. Null on a pre-2026-08-26 assessment that predates this field. Not a call on any one stock. - macro_score_trend: {change_7d, change_30d, direction} - whether macro_score itself is improving/deterior	Combined AI market assessment: macro regime + market outlook in a single call. Refreshed ~4x/day, weekdays only, during market hours (~2h apart) - dead overnight and on weekends, not a continuous 4-hourly cadence. Check regime_stale/outlook_stale below (which already account for the weekend gap) before treating either as current, especially on a Monday morning. Two distinct perspectives returned together: - REGIME (RISK_OFF/CAUTIOUS/NEUTRAL/AGGRESSIVE): answers "how much equity risk to take" → use for position sizing and asset allocation decisions - OUTLOOK (POSITIVE/NEUTRAL/NEGATIVE): answers "which direction and sectors to trade" → use for sector preference and directional bias Both share the same pipeline run so they are always in sync. - history_count: include last N prior assessments for each (0-3, default 0) - regime_*: risk posture fields - regime, risk_appetite_score (0-100 re-expression of regime, higher = current conditions support more risk-taking), regime_bias, regime_bias_note (plain sentence on whether current conditions favor long or short setups, or neither), regime_confidence, regime_rationale, key_risks, watch_for, vix_at_assessment, regime_updated_at, regime_stale - macro_score / regime_strength: macro_score is a real, continuous 0-100 read on how much risk the current environment supports (0=RISK_OFF/capital preservation, 100=AGGRESSIVE/risk-on) - the same underlying number `regime` buckets into 4 discrete categories, blending arithmetic inputs (VIX level, breadth oversold/overbought skew, SKEW-vs-VIX divergence, TD-exhaustion ratio) with regime_strength, the AI's own 1-10 read of regime conviction. Distinct from risk_appetite_score (a coarse 4-value lookup on `regime` alone) - macro_score is the real underlying number. Null on a pre-2026-08-26 assessment that predates this field. Not a call on any one stock. - macro_score_trend: {change_7d, change_30d, direction} - whether macro_score itself is improving/deterior	No	Yes	Yes	No
`get_market_movers`Top market movers from the Stocklake universe - gainers, losers, most active. - category: "gainers" \| "losers" \| "most_active" \| "all" (default "all" = all 3 categories) - limit: results per category (default 10, max 20). Each returned stock counts as one call toward your daily limit - a symbol appearing in more than one category (e.g. both "gainers" and "most_active") counts once per category it appears in. - min_market_cap_b: filter to stocks above this market cap in billions of US dollars (e.g. 1.0 = $1B+), compared against market_cap_usd Returns per stock: symbol, name, sector, price, change_pct, volume, rsi, market_cap (listing currency), market_cap_usd, currency, analyst_rating, atr_pct (atr_pct omitted when the underlying volatility reading is missing or corrupted). Available to all tiers. Pro tier adds the minimum AI-narrative slice (ai_verdict, ai_headline, ai_score 0-100, ai_score_band) - precomputed, no extra AI cost. A big mover's price/volume/RSI alone doesn't say whether the move matters; the one-line headline does. For the full research bundle on any one mover, call get_stock_research(symbol).	Top market movers from the Stocklake universe - gainers, losers, most active. - category: "gainers" \| "losers" \| "most_active" \| "all" (default "all" = all 3 categories) - limit: results per category (default 10, max 20). Each returned stock counts as one call toward your daily limit - a symbol appearing in more than one category (e.g. both "gainers" and "most_active") counts once per category it appears in. - min_market_cap_b: filter to stocks above this market cap in billions of US dollars (e.g. 1.0 = $1B+), compared against market_cap_usd Returns per stock: symbol, name, sector, price, change_pct, volume, rsi, market_cap (listing currency), market_cap_usd, currency, analyst_rating, atr_pct (atr_pct omitted when the underlying volatility reading is missing or corrupted). Available to all tiers. Pro tier adds the minimum AI-narrative slice (ai_verdict, ai_headline, ai_score 0-100, ai_score_band) - precomputed, no extra AI cost. A big mover's price/volume/RSI alone doesn't say whether the move matters; the one-line headline does. For the full research bundle on any one mover, call get_stock_research(symbol).	No	Yes	Yes	No
`get_market_pulse`Market health snapshot in a single call. Aggregates key market indicators without requiring multiple tool calls. No AI cost. Index and bond/commodity prices are the latest available, delayed about 15 minutes; vix, fear_greed and breadth come from the latest market snapshot (see updated_at). Returns: - vix: VIX level (a number) as of that snapshot - fear_greed: {value (0-100), description ("extreme fear" \| "fear" \| "neutral" \| "greed" \| "extreme greed"), last_update} - breadth: market-wide RSI distribution - oversold_pct, overbought_pct, neutral_pct (with their counts), universe_size - indices: spy, qqq, iwm, each {price, change_pct (today, in percent), rsi} - bonds_commodities: tlt (long-duration bonds), gld (gold), same shape as indices - updated_at: when the vix/breadth/fear_greed snapshot was last recorded Available to all tiers.	Market health snapshot in a single call. Aggregates key market indicators without requiring multiple tool calls. No AI cost. Index and bond/commodity prices are the latest available, delayed about 15 minutes; vix, fear_greed and breadth come from the latest market snapshot (see updated_at). Returns: - vix: VIX level (a number) as of that snapshot - fear_greed: {value (0-100), description ("extreme fear" \| "fear" \| "neutral" \| "greed" \| "extreme greed"), last_update} - breadth: market-wide RSI distribution - oversold_pct, overbought_pct, neutral_pct (with their counts), universe_size - indices: spy, qqq, iwm, each {price, change_pct (today, in percent), rsi} - bonds_commodities: tlt (long-duration bonds), gld (gold), same shape as indices - updated_at: when the vix/breadth/fear_greed snapshot was last recorded Available to all tiers.	No	Yes	Yes	No
`get_news_feed`Most notable recent news across all tracked stocks: a market-wide briefing. Unlike get_stock_news (one symbol), this scans every tracked stock and returns articles ranked by signal_score, newest first within each score. Use this for: - Morning briefing: "what happened in the market this week?" - Catalyst scanning: "what news is driving moves right now?" - Event monitoring: "which stocks have high-impact news today?" - min_signal_score: minimum signal_score (0-100, default 60). - days: look-back window in days (default 3, max 10). - limit: max articles returned (default 10, max 25). - Per article: symbol, title, published_at, ai_sentiment, ai_summary, signal_score (0-100), signal_score_band (Weak/Moderate/Strong/Very Strong). - signal_score is the symbol's current news-based signal score when one was raised in the last 90 days (the same number get_stock_news() and get_signals() report), otherwise a score computed from the article's own classification. It is always a single number. - collapsed_count: present when several articles reported the same event; only the highest-ranked one is returned and this says how many were merged into it. `limit` counts distinct events. Articles are published by third parties; titles and summaries describe what those articles say. Requires a Pro account. For informational purposes only. Not financial advice.	Most notable recent news across all tracked stocks: a market-wide briefing. Unlike get_stock_news (one symbol), this scans every tracked stock and returns articles ranked by signal_score, newest first within each score. Use this for: - Morning briefing: "what happened in the market this week?" - Catalyst scanning: "what news is driving moves right now?" - Event monitoring: "which stocks have high-impact news today?" - min_signal_score: minimum signal_score (0-100, default 60). - days: look-back window in days (default 3, max 10). - limit: max articles returned (default 10, max 25). - Per article: symbol, title, published_at, ai_sentiment, ai_summary, signal_score (0-100), signal_score_band (Weak/Moderate/Strong/Very Strong). - signal_score is the symbol's current news-based signal score when one was raised in the last 90 days (the same number get_stock_news() and get_signals() report), otherwise a score computed from the article's own classification. It is always a single number. - collapsed_count: present when several articles reported the same event; only the highest-ranked one is returned and this says how many were merged into it. `limit` counts distinct events. Articles are published by third parties; titles and summaries describe what those articles say. Requires a Pro account. For informational purposes only. Not financial advice.	No	Yes	Yes	Yes
`get_screener`Filter and rank stocks from the Stocklake universe - fundamentals, technicals, and AI signals in one tool. Parameters: - sector: e.g. "Technology", "Healthcare", "Financial Services" - country: e.g. "United States", "Germany" - min_rsi / max_rsi: exact RSI bounds (e.g. max_rsi=30 = oversold, min_rsi=70 = overbought) - sma_trend: "above_200" (price above 200-day MA) \| "below_200" - macd_signal: "positive" (MACD line above signal) \| "negative" - min_perf_1d / max_perf_1d: 1-day performance % (e.g. min_perf_1d=2.0 = up 2%+ today) - min_volume: minimum daily volume (e.g. 1000000) - min_market_cap_b / max_market_cap_b: market cap in billions of US dollars, compared against market_cap_usd (stocks with no FX rate for their currency are excluded when either bound is set) - max_pe_forward: maximum forward P/E (e.g. 20 = value screen) - analyst_rating: "strong_buy" \| "buy" \| "hold" \| "sell" \| "strong_sell" - min_ai_score: minimum AI score 0-100 (pro tier only - silently ignored for free). Gates on the AI research composite ai_score - same 0-100 scale and bands as signal_score, but a separate score (per-stock AI summary strength, not a directional signal). Renamed 2026-08-24 from the retired 0-10 min_flag_score - the raw flag_score field it used to gate on is no longer part of this fleet's public vocabulary at all (see ai_score below). - preset: "oversold" \| "overbought" \| "momentum" \| "high_conviction" (pro only) oversold = RSI≤35 + above SMA200 · overbought = RSI≥65 momentum = RSI 50-70, above SMA200, up 0.5%+ today · high_conviction = ai_score≥70 - sort_by: "market_cap" \| "rsi" \| "perf_1d" \| "volume" \| "analyst_rating" \| "rating" \| "ai_score" (pro). Defaults to "market_cap", except the "high_conviction" preset defaults to "ai_score" (the dimension it's filtering by) unless you explicitly pass a different sort_by. - sort_dir: "asc" \| "desc" (default "desc") - limit: 1-25 (default 20). Each returned stock counts as one call toward your daily limit. Ret	Filter and rank stocks from the Stocklake universe - fundamentals, technicals, and AI signals in one tool. Parameters: - sector: e.g. "Technology", "Healthcare", "Financial Services" - country: e.g. "United States", "Germany" - min_rsi / max_rsi: exact RSI bounds (e.g. max_rsi=30 = oversold, min_rsi=70 = overbought) - sma_trend: "above_200" (price above 200-day MA) \| "below_200" - macd_signal: "positive" (MACD line above signal) \| "negative" - min_perf_1d / max_perf_1d: 1-day performance % (e.g. min_perf_1d=2.0 = up 2%+ today) - min_volume: minimum daily volume (e.g. 1000000) - min_market_cap_b / max_market_cap_b: market cap in billions of US dollars, compared against market_cap_usd (stocks with no FX rate for their currency are excluded when either bound is set) - max_pe_forward: maximum forward P/E (e.g. 20 = value screen) - analyst_rating: "strong_buy" \| "buy" \| "hold" \| "sell" \| "strong_sell" - min_ai_score: minimum AI score 0-100 (pro tier only - silently ignored for free). Gates on the AI research composite ai_score - same 0-100 scale and bands as signal_score, but a separate score (per-stock AI summary strength, not a directional signal). Renamed 2026-08-24 from the retired 0-10 min_flag_score - the raw flag_score field it used to gate on is no longer part of this fleet's public vocabulary at all (see ai_score below). - preset: "oversold" \| "overbought" \| "momentum" \| "high_conviction" (pro only) oversold = RSI≤35 + above SMA200 · overbought = RSI≥65 momentum = RSI 50-70, above SMA200, up 0.5%+ today · high_conviction = ai_score≥70 - sort_by: "market_cap" \| "rsi" \| "perf_1d" \| "volume" \| "analyst_rating" \| "rating" \| "ai_score" (pro). Defaults to "market_cap", except the "high_conviction" preset defaults to "ai_score" (the dimension it's filtering by) unless you explicitly pass a different sort_by. - sort_dir: "asc" \| "desc" (default "desc") - limit: 1-25 (default 20). Each returned stock counts as one call toward your daily limit. Ret	No	Yes	Yes	No
`get_sector_intelligence`AI-assessed sector intelligence: signal, cycle stage, rotation signal, drivers, alerts, and computed statistics per sector (RSI distribution, breadth, performance 1W/1M, top/bottom movers, historical percentiles). Pass a sector name for a single sector, or omit the parameter (or pass None) to get the latest assessment for all 11 sectors - the all-sectors call doubles as the rotation view: use sort_by_strength to rank LEADING-first for finding leading vs lagging sectors, and history_count for prior signal states per sector. - sort_by_strength: sort all-sectors output LEADING→LAGGING instead of alphabetical (all-sectors call only; ignored when a single sector is requested) - history_count: include last N prior signal states per sector, 0-3 (default 0; all-sectors call only) - sector_score / strength_score: sector_score is a real, continuous 0-100 read on this sector's relative strength/leadership (0=LAGGING, 100=LEADING) - the same underlying number `signal` buckets into 5 discrete categories, blending arithmetic inputs (RSI/perf percentiles, top-5 concentration, SMA200 breadth) with strength_score, the AI's own 1-10 read. Comparable across all 11 sectors on one absolute scale (not per-sector-relative). Null on a pre-2026-08-26 assessment that predates this field. Not a buy/sell call. - sector_score_trend: {change_7d, change_30d, direction} - whether this sector's score is improving/deteriorating/stable over the trailing 7/30 days, computed automatically. Single-sector calls only - this is the only trend view available for one sector at all (history_count only applies to the all-sectors call). Two sectors both reading STRONG/68 can be in opposite motion; this tells them apart. Either leg is null without enough history yet. Refreshed ~4x/day, weekdays only, during market hours (~2h apart) - dead overnight and on weekends, not a continuous 4-hourly cadence. Check the returned updated_at before treating this as current, especially on a Monday	AI-assessed sector intelligence: signal, cycle stage, rotation signal, drivers, alerts, and computed statistics per sector (RSI distribution, breadth, performance 1W/1M, top/bottom movers, historical percentiles). Pass a sector name for a single sector, or omit the parameter (or pass None) to get the latest assessment for all 11 sectors - the all-sectors call doubles as the rotation view: use sort_by_strength to rank LEADING-first for finding leading vs lagging sectors, and history_count for prior signal states per sector. - sort_by_strength: sort all-sectors output LEADING→LAGGING instead of alphabetical (all-sectors call only; ignored when a single sector is requested) - history_count: include last N prior signal states per sector, 0-3 (default 0; all-sectors call only) - sector_score / strength_score: sector_score is a real, continuous 0-100 read on this sector's relative strength/leadership (0=LAGGING, 100=LEADING) - the same underlying number `signal` buckets into 5 discrete categories, blending arithmetic inputs (RSI/perf percentiles, top-5 concentration, SMA200 breadth) with strength_score, the AI's own 1-10 read. Comparable across all 11 sectors on one absolute scale (not per-sector-relative). Null on a pre-2026-08-26 assessment that predates this field. Not a buy/sell call. - sector_score_trend: {change_7d, change_30d, direction} - whether this sector's score is improving/deteriorating/stable over the trailing 7/30 days, computed automatically. Single-sector calls only - this is the only trend view available for one sector at all (history_count only applies to the all-sectors call). Two sectors both reading STRONG/68 can be in opposite motion; this tells them apart. Either leg is null without enough history yet. Refreshed ~4x/day, weekdays only, during market hours (~2h apart) - dead overnight and on weekends, not a continuous 4-hourly cadence. Check the returned updated_at before treating this as current, especially on a Monday	No	Yes	Yes	No
`get_signals`AI-screened stock signals recently surfaced by the Stocklake pipeline - sourced from news analysis, sector screening, and sentiment signals. Shows what the pipeline noticed in the last 24 hours (falling back to the most recent signals regardless of age if nothing has fired in that window - see `window` in the response). Signals stay listed for their recency window even after they expire. This is the market-wide queue across all stocks. For the history of one stock (news, filings, insider, earnings, analyst events and its setups over 90 days) use get_stock_activity. Parameters: - direction: "POSITIVE" \| "NEGATIVE" \| "NEUTRAL" (default: all). NEUTRAL covers both a flat/undecided read AND a genuinely two-sided idea (real opposing bull/bear theses on the same symbol) - in the latter case signal_score is the STRONGER of the two sides (see signal_score below), so a high score alongside NEUTRAL means "real conviction here, just no directional consensus," not "nothing going on." The two-sided detail is in `rationale`. - min_signal_score: minimum signal score 0-100 (default 60) - mainly how stretched the stock is in the signal's direction. This is the field to filter on. Always compared against a single number, including for NEUTRAL/two-sided ideas - a result is never returned below your threshold on both sides. - source: filter by signal source - "news" \| "screener" \| "sentiment" (default: all) - limit: max results to return (default 25, max 50). Each returned signal counts as one call toward your daily limit. Returns: - count: number of signals returned - window: "24h" (fresh activity found) or a fallback note when the last 24h had nothing and the response instead shows the most recent signals overall - signals[]: each with symbol, direction, signal_score (0-100), signal_score_band (human-readable label - "Weak"/"Moderate"/"Strong"/"Very Strong"), source, rationale, expires, flagged_at Pro tier only - AI pipeline cost at	AI-screened stock signals recently surfaced by the Stocklake pipeline - sourced from news analysis, sector screening, and sentiment signals. Shows what the pipeline noticed in the last 24 hours (falling back to the most recent signals regardless of age if nothing has fired in that window - see `window` in the response). Signals stay listed for their recency window even after they expire. This is the market-wide queue across all stocks. For the history of one stock (news, filings, insider, earnings, analyst events and its setups over 90 days) use get_stock_activity. Parameters: - direction: "POSITIVE" \| "NEGATIVE" \| "NEUTRAL" (default: all). NEUTRAL covers both a flat/undecided read AND a genuinely two-sided idea (real opposing bull/bear theses on the same symbol) - in the latter case signal_score is the STRONGER of the two sides (see signal_score below), so a high score alongside NEUTRAL means "real conviction here, just no directional consensus," not "nothing going on." The two-sided detail is in `rationale`. - min_signal_score: minimum signal score 0-100 (default 60) - mainly how stretched the stock is in the signal's direction. This is the field to filter on. Always compared against a single number, including for NEUTRAL/two-sided ideas - a result is never returned below your threshold on both sides. - source: filter by signal source - "news" \| "screener" \| "sentiment" (default: all) - limit: max results to return (default 25, max 50). Each returned signal counts as one call toward your daily limit. Returns: - count: number of signals returned - window: "24h" (fresh activity found) or a fallback note when the last 24h had nothing and the response instead shows the most recent signals overall - signals[]: each with symbol, direction, signal_score (0-100), signal_score_band (human-readable label - "Weak"/"Moderate"/"Strong"/"Very Strong"), source, rationale, expires, flagged_at Pro tier only - AI pipeline cost at	No	Yes	Yes	No
`get_stock`Price, fundamentals, technical indicators, and company profile for a stock. Returns all data needed to understand a stock in a single call. Key fields: - price, change_pct, prev_close, week52_high/low, volume, avg_volume - market_cap, enterprise_value, beta - pe_trailing, pe_forward, price_to_book, dividend_yield, dividend_rate - debt_to_equity, profit_margins, operating_margins, gross_margins, return_on_equity, free_cashflow - revenue_growth, earnings_growth, revenue_ttm, gross_profit_ttm - analyst_rating: "strong_buy"\|"buy"\|"hold"\|"sell"\|"strong_sell" (analyst consensus) - analyst_rating_score: 1.0-5.0 mean analyst recommendation (1=strong_buy, 5=strong_sell) - analyst_target: mean analyst price target - analyst_count: number of analyst opinions - indicators: raw RSI, MACD, Bollinger Bands, SMA20/SMA200 (the canonical 50/200-day averages -- no separate top-level ma_50/ma_200 field), EMA20/EMA200, ATR - description: company business description - website, employees, officers (top 5: name, title, total_pay) - updated_at: last data sync timestamp Available to all tiers (raw indicator numbers, no interpretation). This basic six (RSI/MACD/Bollinger/SMA/EMA/ATR) is standard, widely-available technical analysis. Pro tier also unlocks the specialized indicators inside the SAME `indicators` block: williams_r, ultimate_osc, vix_fix, williams_ad (the Larry Williams family), td_sequential (DeMark), elliott_wave, adx {adx, plus_di, minus_di}, ichimoku {tenkan, kijun, cloud_top, cloud_bot, above_cloud, below_cloud}, squeeze {squeeze_on, hist}, and rs_rank (relative-strength rank 1-99, stocks only: the past year's return with the latest quarter counted double, ranked against every tracked stock; 99 = strongest; absent with under a year of history). These are omitted entirely from the free/guest response, not merely unlabeled; free/guest calls get indicators with only the basic six populated. Pro tier adds four interpreted blocks computed from the same indicators, no extra A	Price, fundamentals, technical indicators, and company profile for a stock. Returns all data needed to understand a stock in a single call. Key fields: - price, change_pct, prev_close, week52_high/low, volume, avg_volume - market_cap, enterprise_value, beta - pe_trailing, pe_forward, price_to_book, dividend_yield, dividend_rate - debt_to_equity, profit_margins, operating_margins, gross_margins, return_on_equity, free_cashflow - revenue_growth, earnings_growth, revenue_ttm, gross_profit_ttm - analyst_rating: "strong_buy"\|"buy"\|"hold"\|"sell"\|"strong_sell" (analyst consensus) - analyst_rating_score: 1.0-5.0 mean analyst recommendation (1=strong_buy, 5=strong_sell) - analyst_target: mean analyst price target - analyst_count: number of analyst opinions - indicators: raw RSI, MACD, Bollinger Bands, SMA20/SMA200 (the canonical 50/200-day averages -- no separate top-level ma_50/ma_200 field), EMA20/EMA200, ATR - description: company business description - website, employees, officers (top 5: name, title, total_pay) - updated_at: last data sync timestamp Available to all tiers (raw indicator numbers, no interpretation). This basic six (RSI/MACD/Bollinger/SMA/EMA/ATR) is standard, widely-available technical analysis. Pro tier also unlocks the specialized indicators inside the SAME `indicators` block: williams_r, ultimate_osc, vix_fix, williams_ad (the Larry Williams family), td_sequential (DeMark), elliott_wave, adx {adx, plus_di, minus_di}, ichimoku {tenkan, kijun, cloud_top, cloud_bot, above_cloud, below_cloud}, squeeze {squeeze_on, hist}, and rs_rank (relative-strength rank 1-99, stocks only: the past year's return with the latest quarter counted double, ranked against every tracked stock; 99 = strongest; absent with under a year of history). These are omitted entirely from the free/guest response, not merely unlabeled; free/guest calls get indicators with only the basic six populated. Pro tier adds four interpreted blocks computed from the same indicators, no extra A	No	Yes	Yes	No
`get_stock_activity`Everything that happened to one stock over the last 90 days, in one timeline, newest first: news, SEC 8-K filings, insider clusters and large single trades, earnings dates and reported results, analyst target and rating changes, and screener setups. Answers "what has been going on with this stock?" in one call instead of five. Each item has a `type` (news \| filing \| insider \| earnings \| analyst \| setup), an ISO `timestamp`, a plain `headline` and a type-specific `extra` object. With no `types` the timeline is the "All" view: very weak news is left out and upcoming earnings within 30 days are returned separately under `upcoming`; with `types` you get just those kinds, news included in full (for Pro; see below for Free). `counts` is how many items of each kind exist in the window, whatever the page or filter; with no `types` its sum can exceed `total`, because the all-types list leaves out very weak news, shows a reported quarter once and lists upcoming dates separately. What each type is: - news: an article about the company (third-party reporting; the headline is the article's own). - filing: an SEC 8-K, with its item labels. Earnings coverage that repeats a results filing is folded into it (`extra.related_news`). Filings are recorded for US-listed companies in USD with a market cap of about $1 billion or more. - insider: a cluster of 3 or more insiders buying or selling within 30 days, with the amount in the headline. - earnings: a reporting date (`extra.date`, `extra.upcoming`, `extra.estimate`), or a reported quarter. Where its EPS can be matched to the analysts' estimate, the headline says whether EPS beat, missed or was in line with estimates; Pro's content adds the figures. A stock with no estimate data keeps its row as it was. - analyst: the consensus target or rating moved by 5% or more; consecutive steps in one direction are one item. - setup: a screener setup flagged on the stock (Pro). Every account gets the facts: all types except setu	Everything that happened to one stock over the last 90 days, in one timeline, newest first: news, SEC 8-K filings, insider clusters and large single trades, earnings dates and reported results, analyst target and rating changes, and screener setups. Answers "what has been going on with this stock?" in one call instead of five. Each item has a `type` (news \| filing \| insider \| earnings \| analyst \| setup), an ISO `timestamp`, a plain `headline` and a type-specific `extra` object. With no `types` the timeline is the "All" view: very weak news is left out and upcoming earnings within 30 days are returned separately under `upcoming`; with `types` you get just those kinds, news included in full (for Pro; see below for Free). `counts` is how many items of each kind exist in the window, whatever the page or filter; with no `types` its sum can exceed `total`, because the all-types list leaves out very weak news, shows a reported quarter once and lists upcoming dates separately. What each type is: - news: an article about the company (third-party reporting; the headline is the article's own). - filing: an SEC 8-K, with its item labels. Earnings coverage that repeats a results filing is folded into it (`extra.related_news`). Filings are recorded for US-listed companies in USD with a market cap of about $1 billion or more. - insider: a cluster of 3 or more insiders buying or selling within 30 days, with the amount in the headline. - earnings: a reporting date (`extra.date`, `extra.upcoming`, `extra.estimate`), or a reported quarter. Where its EPS can be matched to the analysts' estimate, the headline says whether EPS beat, missed or was in line with estimates; Pro's content adds the figures. A stock with no estimate data keeps its row as it was. - analyst: the consensus target or rating moved by 5% or more; consecutive steps in one direction are one item. - setup: a screener setup flagged on the stock (Pro). Every account gets the facts: all types except setu	No	Yes	Yes	Yes
`get_stock_filings`The latest SEC 8-K filings of one company, newest first: when each was filed, what it reports and, on Pro, what it says. 8-Ks are how a US-listed company announces results, deals, financings, leadership changes and other material events. Free returns the 5 most recent filings (`items_note` says so when more exist); Pro up to 25. Per filing, for every account: - filed_at (ISO 8601 with the New York offset), date, time (New York time) and session (before open / during trading / after close) - items: what the filing covers, as plain labels (for example "Results of operations", "Director or officer change", "Material agreement") - company, symbol and the SEC accession number Pro adds `headline` (one line on what it says), `summary` (two or three sentences), `sentiment` (Positive/Negative/Neutral, the tone of the news for the company, not a price call) and `relevance` (0-100, how material the filing looks; routine filings are left out for everyone). A filing with no usable text has no summary. Coverage: US-listed companies in USD with a market cap of about $1 billion or more. Filings are recorded in the morning, before the US open and after the close, so one filed minutes ago may not be there yet. For the filing together with news, insider and analyst activity in one timeline, use get_stock_activity. For informational purposes only. Not financial advice.	The latest SEC 8-K filings of one company, newest first: when each was filed, what it reports and, on Pro, what it says. 8-Ks are how a US-listed company announces results, deals, financings, leadership changes and other material events. Free returns the 5 most recent filings (`items_note` says so when more exist); Pro up to 25. Per filing, for every account: - filed_at (ISO 8601 with the New York offset), date, time (New York time) and session (before open / during trading / after close) - items: what the filing covers, as plain labels (for example "Results of operations", "Director or officer change", "Material agreement") - company, symbol and the SEC accession number Pro adds `headline` (one line on what it says), `summary` (two or three sentences), `sentiment` (Positive/Negative/Neutral, the tone of the news for the company, not a price call) and `relevance` (0-100, how material the filing looks; routine filings are left out for everyone). A filing with no usable text has no summary. Coverage: US-listed companies in USD with a market cap of about $1 billion or more. Filings are recorded in the morning, before the US open and after the close, so one filed minutes ago may not be there yet. For the filing together with news, insider and analyst activity in one timeline, use get_stock_activity. For informational purposes only. Not financial advice.	No	Yes	Yes	No
`get_stock_financials`Raw financial statements - balance sheet, income statement, and cash flow line items. This is the underlying statement data itself, not a derived summary - for the forensic-accounting scores computed FROM these statements (Altman Z / Piotroski F / Beneish M), see get_stock()'s forensic_scores block instead. Each returned statement is shaped {line_item_name: {period_end_iso: value}} - e.g. income_stmt["Total Revenue"]["2025-12-31"] - so a caller can compute its own trends/deltas/CAGRs, not just read the latest value. Values are in the company's reporting currency (financial_currency). Tiers: - Free and guest: the LATEST fiscal year only. Every line item's {period_end: value} map has one entry and `periods` lists one date. All three statements and the `statement` filter work. period= "quarterly"/"both" returns that latest annual year with quarterly=null plus a `pro_unlocks` note (not an error). `annual_periods_available` says how many years Pro would return. - Pro: period="annual" (default) returns up to 5 fiscal years; some symbols return fewer. period="quarterly" returns up to roughly 7-8 of the most recent quarters. period="both" returns both blocks in one call. ~50-60 curated line items per statement (not a raw dump of every reported row): balance sheet structure (assets/liabilities/equity/debt/ working capital), income statement (revenue through EPS), and cash flow (operating/investing/financing, free cash flow, buybacks, stock-based comp). Coverage genuinely varies by symbol and sector - a bank has no "Inventory" line, a company with no buyback program has no "Repurchase Of Capital Stock" entry. A missing line item means it is not reported for this company, not a fetch error. quarterly can come back null (with a quarterly_note) for a symbol whose real quarterly data isn't available. annual/quarterly can both be entirely absent (with a note) if this symbol hasn't yet been through the financials sync, or if it's not an equity (no data for ETFs/	Raw financial statements - balance sheet, income statement, and cash flow line items. This is the underlying statement data itself, not a derived summary - for the forensic-accounting scores computed FROM these statements (Altman Z / Piotroski F / Beneish M), see get_stock()'s forensic_scores block instead. Each returned statement is shaped {line_item_name: {period_end_iso: value}} - e.g. income_stmt["Total Revenue"]["2025-12-31"] - so a caller can compute its own trends/deltas/CAGRs, not just read the latest value. Values are in the company's reporting currency (financial_currency). Tiers: - Free and guest: the LATEST fiscal year only. Every line item's {period_end: value} map has one entry and `periods` lists one date. All three statements and the `statement` filter work. period= "quarterly"/"both" returns that latest annual year with quarterly=null plus a `pro_unlocks` note (not an error). `annual_periods_available` says how many years Pro would return. - Pro: period="annual" (default) returns up to 5 fiscal years; some symbols return fewer. period="quarterly" returns up to roughly 7-8 of the most recent quarters. period="both" returns both blocks in one call. ~50-60 curated line items per statement (not a raw dump of every reported row): balance sheet structure (assets/liabilities/equity/debt/ working capital), income statement (revenue through EPS), and cash flow (operating/investing/financing, free cash flow, buybacks, stock-based comp). Coverage genuinely varies by symbol and sector - a bank has no "Inventory" line, a company with no buyback program has no "Repurchase Of Capital Stock" entry. A missing line item means it is not reported for this company, not a fetch error. quarterly can come back null (with a quarterly_note) for a symbol whose real quarterly data isn't available. annual/quarterly can both be entirely absent (with a note) if this symbol hasn't yet been through the financials sync, or if it's not an equity (no data for ETFs/	No	Yes	Yes	No
`get_stock_history`Daily OHLCV price history for a stock. - days: number of trading days to return (default 90). Guest/free: max 365. Pro: full history, up to 20,000 trading days (most established names go back decades; a full pull can be ~10,000+ bars, so request only what you need). - Returns: { symbol, days_requested, days_returned, count, history[], history_available: { bars, earliest_date } } - days_returned/count can be less than days_requested if less history exists. When a guest/free caller asks for more than 365 days the response is capped at 365 and carries a `pro_unlocks` note saying what Pro adds. - Per bar: date, open, high, low, close, volume	Daily OHLCV price history for a stock. - days: number of trading days to return (default 90). Guest/free: max 365. Pro: full history, up to 20,000 trading days (most established names go back decades; a full pull can be ~10,000+ bars, so request only what you need). - Returns: { symbol, days_requested, days_returned, count, history[], history_available: { bars, earliest_date } } - days_returned/count can be less than days_requested if less history exists. When a guest/free caller asks for more than 365 days the response is capped at 365 and carries a `pro_unlocks` note saying what Pro adds. - Per bar: date, open, high, low, close, volume	No	Yes	Yes	No
`get_stock_news`Recent news articles for one stock, newest first. - symbol: ticker, e.g. "AAPL" or "SAP.DE". - days: look-back window in days. Values above the account's maximum are lowered to it (30 or 90 days, depending on the account). - limit: max articles returned. Values above the account's maximum are lowered to it (5 or 50 articles, depending on the account). - status: "ok" = articles returned \| "empty" = no news in the window. - Per article: title, published_at. Depending on the account, also ai_sentiment, ai_summary, signal_score (0-100 or null) and signal_score_band ("Weak"/"Moderate"/"Strong"/"Very Strong" or null). - signal_score is the same number get_signals() and get_stock_research() report for this symbol when a news-based signal was raised in the last 90 days; otherwise it is computed per article from that article's own classification. It is always a single number. - collapsed_count: present when several articles reported the same event (for example one analyst's target change carried by several outlets); only the newest is returned and this says how many were merged into it. `limit` counts distinct events. Articles are published by third parties; titles and summaries describe what those articles say. For news together with filings, insider, earnings and analyst events in one timeline, use get_stock_activity. For informational purposes only. Not financial advice.	Recent news articles for one stock, newest first. - symbol: ticker, e.g. "AAPL" or "SAP.DE". - days: look-back window in days. Values above the account's maximum are lowered to it (30 or 90 days, depending on the account). - limit: max articles returned. Values above the account's maximum are lowered to it (5 or 50 articles, depending on the account). - status: "ok" = articles returned \| "empty" = no news in the window. - Per article: title, published_at. Depending on the account, also ai_sentiment, ai_summary, signal_score (0-100 or null) and signal_score_band ("Weak"/"Moderate"/"Strong"/"Very Strong" or null). - signal_score is the same number get_signals() and get_stock_research() report for this symbol when a news-based signal was raised in the last 90 days; otherwise it is computed per article from that article's own classification. It is always a single number. - collapsed_count: present when several articles reported the same event (for example one analyst's target change carried by several outlets); only the newest is returned and this says how many were merged into it. `limit` counts distinct events. Articles are published by third parties; titles and summaries describe what those articles say. For news together with filings, insider, earnings and analyst events in one timeline, use get_stock_activity. For informational purposes only. Not financial advice.	No	Yes	Yes	Yes
`get_stock_research`Full AI research bundle for a stock in one call - fundamentals, AI-generated summary, recent AI-classified news, insider/institutional signal, and recent trade signal history. Replaces 4 separate calls: get_stock + get_stock_news + get_insider_activity + get_signals (for one symbol). Returns: - stock: price, name, sector, rsi, pe_forward, market_cap, 52-week range, analyst data - ai_summary: verdict, ai_score (0-100)/ai_score_band (Weak/Moderate/Strong/ Very Strong - the AI research composite, same scale and bands as signal_score but a separate score), full summary, key_points, risks, price_at_generation, generated_at, headline (one-sentence plain-language take), near_term (stance/confidence over <4 weeks - technicals/momentum-weighted), longer_term (stance/confidence over a multi-month horizon - fundamentals/analyst/institutional-flow-weighted). headline/near_term/longer_term are null on summaries generated before this schema shipped - until that symbol's next regeneration, fall back to verdict/ai_score. - news: last 3 high-relevance articles (title, published_at, ai_sentiment, ai_summary, signal_score [0-100]/signal_score_band - this symbol's current news-sourced signal score if one exists in the last 30 days [same number as the `signals` list below and get_signals()/get_stock_news(), kept in sync as it's re-scored], else a per-article magnitude computed from that article's own classification. One name, no separate "news_score" field. The 3 are distinct events: an article carries collapsed_count when several articles about the same event were merged into it.) - filings[]: the latest SEC 8-K filings of the last 30 days, up to 3 (date, title, headline, summary, sentiment, items, sec_url). Empty when none in the window; get_stock_filings has the full list. - earnings: {next, last_reported}. next = the coming report date (estimated_date says whether the date can still move) with the consensus; last_reported = the newest reported qu	Full AI research bundle for a stock in one call - fundamentals, AI-generated summary, recent AI-classified news, insider/institutional signal, and recent trade signal history. Replaces 4 separate calls: get_stock + get_stock_news + get_insider_activity + get_signals (for one symbol). Returns: - stock: price, name, sector, rsi, pe_forward, market_cap, 52-week range, analyst data - ai_summary: verdict, ai_score (0-100)/ai_score_band (Weak/Moderate/Strong/ Very Strong - the AI research composite, same scale and bands as signal_score but a separate score), full summary, key_points, risks, price_at_generation, generated_at, headline (one-sentence plain-language take), near_term (stance/confidence over <4 weeks - technicals/momentum-weighted), longer_term (stance/confidence over a multi-month horizon - fundamentals/analyst/institutional-flow-weighted). headline/near_term/longer_term are null on summaries generated before this schema shipped - until that symbol's next regeneration, fall back to verdict/ai_score. - news: last 3 high-relevance articles (title, published_at, ai_sentiment, ai_summary, signal_score [0-100]/signal_score_band - this symbol's current news-sourced signal score if one exists in the last 30 days [same number as the `signals` list below and get_signals()/get_stock_news(), kept in sync as it's re-scored], else a per-article magnitude computed from that article's own classification. One name, no separate "news_score" field. The 3 are distinct events: an article carries collapsed_count when several articles about the same event were merged into it.) - filings[]: the latest SEC 8-K filings of the last 30 days, up to 3 (date, title, headline, summary, sentiment, items, sec_url). Empty when none in the window; get_stock_filings has the full list. - earnings: {next, last_reported}. next = the coming report date (estimated_date says whether the date can still move) with the consensus; last_reported = the newest reported qu	No	Yes	Yes	No
`get_stocks`Batch stock data for up to 25 symbols in a single call - the same fields get_stock returns for the same key/symbol, so this is a true batch version, not a thinned-down scan. Returns a dict keyed by symbol. Missing symbols are omitted from the result. Each symbol in the batch counts as one call toward the daily limit. A request over 25 symbols is rejected outright (error: batch_too_large) rather than silently served on just the first 25 - split a larger list into multiple calls. Available to all tiers (fundamentals/indicators/company profile, free). Pro tier adds, per symbol, the same precomputed blocks get_stock adds - rating {score, direction, signals}, signals (per-indicator breakdown), relative_strength, market_risk {beta_spy_1y, corr_spy_1y}, sector_context (revenue growth/margins vs sector median - see get_stock), and the minimum AI-narrative slice (ai_verdict, ai_headline, ai_score, ai_score_band). None of this costs an AI call on your request - it's all precomputed and just needs projecting. NOT included, even on pro - call get_stock(symbol) for stance_signals, or get_stock_research(symbol) for the full ai_summary text (summary/key_points/ risks/near_term/longer_term) plus cross-source news/insider/signal context. Response also carries `duplicates_collapsed`: how many input symbols normalized (case-folding, share-class aliasing e.g. "BRK.B"->"BRK-B") or literally repeated onto a symbol already counted elsewhere in this batch. requested - len(missing or []) - duplicates_collapsed == count always holds.	Batch stock data for up to 25 symbols in a single call - the same fields get_stock returns for the same key/symbol, so this is a true batch version, not a thinned-down scan. Returns a dict keyed by symbol. Missing symbols are omitted from the result. Each symbol in the batch counts as one call toward the daily limit. A request over 25 symbols is rejected outright (error: batch_too_large) rather than silently served on just the first 25 - split a larger list into multiple calls. Available to all tiers (fundamentals/indicators/company profile, free). Pro tier adds, per symbol, the same precomputed blocks get_stock adds - rating {score, direction, signals}, signals (per-indicator breakdown), relative_strength, market_risk {beta_spy_1y, corr_spy_1y}, sector_context (revenue growth/margins vs sector median - see get_stock), and the minimum AI-narrative slice (ai_verdict, ai_headline, ai_score, ai_score_band). None of this costs an AI call on your request - it's all precomputed and just needs projecting. NOT included, even on pro - call get_stock(symbol) for stance_signals, or get_stock_research(symbol) for the full ai_summary text (summary/key_points/ risks/near_term/longer_term) plus cross-source news/insider/signal context. Response also carries `duplicates_collapsed`: how many input symbols normalized (case-folding, share-class aliasing e.g. "BRK.B"->"BRK-B") or literally repeated onto a symbol already counted elsewhere in this batch. requested - len(missing or []) - duplicates_collapsed == count always holds.	No	Yes	Yes	No
`get_watchlist`The caller's Stocklake watchlist (starred symbols from the web dashboard), enriched with latest price, technicals, and AI verdict. Returns: - count: number of symbols on the watchlist - items[]: each with symbol, name, sector, price, change_pct, rsi, market_cap, analyst_rating, atr_pct, ai_verdict, ai_headline, ai_score (0-100), ai_score_band (Weak/Moderate/Strong/Very Strong), added_at, price_at_add - empty items[] if nothing is starred yet - star symbols at stocklake.dev/dashboard Pro tier only. For informational purposes only. Not financial advice.	The caller's Stocklake watchlist (starred symbols from the web dashboard), enriched with latest price, technicals, and AI verdict. Returns: - count: number of symbols on the watchlist - items[]: each with symbol, name, sector, price, change_pct, rsi, market_cap, analyst_rating, atr_pct, ai_verdict, ai_headline, ai_score (0-100), ai_score_band (Weak/Moderate/Strong/Very Strong), added_at, price_at_add - empty items[] if nothing is starred yet - star symbols at stocklake.dev/dashboard Pro tier only. For informational purposes only. Not financial advice.	No	Yes	Yes	No

Details

Registry status: Active
Published: Jun 2, 2026
Updated: Jun 2, 2026
Website: Not given
Repository: Not given
Categories (suggested): Finance and paymentsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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