Hyperliquid Cross-Sectional Analytics (Tessera)

dev.tesseralytics/hyperliquid-dataVersion 0.2.0

Rank, screen and compare the Hyperliquid perp universe on a completed day.

Status

Responds1632 msNov 14, 2026, 14:28 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:28 UTC
Latency: 1632 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: EU hosting detected (detected, not a legal statement)
Registry data as of: Nov 14, 2026, 21:12 UTC

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Connect

Streamable HTTP

https://tesseralytics.dev/mcpResponds1632 msNov 14, 2026, 14:28 UTC

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Claude Code

claude mcp add --transport http hyperliquid-data https://tesseralytics.dev/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: hyperliquid-data
Remote MCP server URL: https://tesseralytics.dev/mcp

Cursor

{
  "mcpServers": {
    "hyperliquid-data": {
      "url": "https://tesseralytics.dev/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"hyperliquid-data","type":"http","url":"https://tesseralytics.dev/mcp"}'

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Tools

8 tools

Tools of Hyperliquid Cross-Sectional Analytics (Tessera)
	Description		Read-only	Idempotent	Open world
`describe_dataset`The full dictionary for ONE downloadable dataset: description plus every column's type, nullability and plain-English meaning. Pass a name from list_datasets. Open — no key needed. For the fields the query tools accept, use list_fields.	The full dictionary for ONE downloadable dataset: description plus every column's type, nullability and plain-English meaning. Pass a name from list_datasets. Open — no key needed. For the fields the query tools accept, use list_fields.	Not declared	Yes	Not declared	Not declared
`funding_divergence`Rank markets by how far their funding has diverged from a benchmark (default ETH) over a trailing window. Pick bar (1d, the default, or 1h for completed hours) to read completed days or completed hours. day defaults to the last complete interval. metric=rate compares mean funding over the window; metric=cum_funding_spread compares how far a market's cumulative funding level travelled inside the window (its high minus its low, so never negative) — that is not the funding the window accumulated: for that, read funding_paid from query_series and sum it. Returns the most diverged in each direction, each row with usd_volume_avg so a spread can be sized; pass min_usd_volume_7d_avg (USD/day) to exclude markets too illiquid to trade the divergence in. Markets with no funding reading are excluded from both lists. Descriptive only.	Rank markets by how far their funding has diverged from a benchmark (default ETH) over a trailing window. Pick bar (1d, the default, or 1h for completed hours) to read completed days or completed hours. day defaults to the last complete interval. metric=rate compares mean funding over the window; metric=cum_funding_spread compares how far a market's cumulative funding level travelled inside the window (its high minus its low, so never negative) — that is not the funding the window accumulated: for that, read funding_paid from query_series and sum it. Returns the most diverged in each direction, each row with usd_volume_avg so a spread can be sized; pass min_usd_volume_7d_avg (USD/day) to exclude markets too illiquid to trade the divergence in. Markets with no funding reading are excluded from both lists. Descriptive only.	Not declared	Yes	Not declared	Not declared
`get_universe`The coverage picture: the last complete interval, how many markets are in the universe for a scope, how much history sits behind them, and how densely it is populated. Pick bar (1d, the default, or 1h for completed hours) to describe completed days or completed hours. The range counts cover the last 7 days at bar: 1h (pass days, 1..30, to widen them) and the whole published range at bar: 1d. A compact SUMMARY by default — pass top_n (1..100, clamped) only if you need the per-market counts.	The coverage picture: the last complete interval, how many markets are in the universe for a scope, how much history sits behind them, and how densely it is populated. Pick bar (1d, the default, or 1h for completed hours) to describe completed days or completed hours. The range counts cover the last 7 days at bar: 1h (pass days, 1..30, to widen them) and the whole published range at bar: 1d. A compact SUMMARY by default — pass top_n (1..100, clamped) only if you need the per-market counts.	Not declared	Yes	Not declared	Not declared
`list_datasets`List the downloadable datasets: one-line summary, the plan required, and the month range available. Open — no key needed. Then use describe_dataset for one dataset's columns, or list_fields for the fields the query tools accept.	List the downloadable datasets: one-line summary, the plan required, and the month range available. Open — no key needed. Then use describe_dataset for one dataset's columns, or list_fields for the fields the query tools accept.	Not declared	Yes	Not declared	Not declared
`list_fields`Every field the query tools accept, each with its meaning, unit, whether it can be missing, and which bars (1d, 1h) it exists on. Open — no key needed. Call this before query_cross_section, screen_universe or query_series. Percentile, z-score and the top_pct/bottom_pct conditions rank within the markets your plan can see, so they need a wide slice.	Every field the query tools accept, each with its meaning, unit, whether it can be missing, and which bars (1d, 1h) it exists on. Open — no key needed. Call this before query_cross_section, screen_universe or query_series. Percentile, z-score and the top_pct/bottom_pct conditions rank within the markets your plan can see, so they need a wide slice.	Not declared	Yes	Not declared	Not declared
`query_cross_section`Rank the whole market on ONE completed interval: pick bar (1d, the default, or 1h for completed hours), columns, an order_by field and top_n. Answers 'top markets by funding / open interest / returns on the latest day or hour' and 'what percentile is BTC on open interest'. day defaults to the last complete interval; scope defaults to crypto (HIP-3 markets track an underlying that closes, so their flow is not comparable); stat=percentile\|zscore ranks within your eligible markets; min_usd_volume_7d_avg (USD/day at either bar) keeps dust out of the ranking and the ranking is computed after it. Field names come from list_fields — never guess them, they are snake_case compound names and each one lists the bars it exists on; for a cut ('top decile by X') use screen_universe.	Rank the whole market on ONE completed interval: pick bar (1d, the default, or 1h for completed hours), columns, an order_by field and top_n. Answers 'top markets by funding / open interest / returns on the latest day or hour' and 'what percentile is BTC on open interest'. day defaults to the last complete interval; scope defaults to crypto (HIP-3 markets track an underlying that closes, so their flow is not comparable); stat=percentile\|zscore ranks within your eligible markets; min_usd_volume_7d_avg (USD/day at either bar) keeps dust out of the ranking and the ranking is computed after it. Field names come from list_fields — never guess them, they are snake_case compound names and each one lists the bars it exists on; for a cut ('top decile by X') use screen_universe.	Not declared	Yes	Not declared	Not declared
`query_series`The series for one market or a few (max 10): one row per market per interval over a trailing window, ordered by interval then market. Pick bar (1d, the default, for one row per day, or 1h for one row per completed hour). Answers 'is this move backed by real flow' and 'how has positioning built up'. ending_day defaults to the last complete interval. The whole answer is capped, so markets times window_days (times 24 at bar 1h) must stay inside the row cap; the response states the window it used.	The series for one market or a few (max 10): one row per market per interval over a trailing window, ordered by interval then market. Pick bar (1d, the default, for one row per day, or 1h for one row per completed hour). Answers 'is this move backed by real flow' and 'how has positioning built up'. ending_day defaults to the last complete interval. The whole answer is capped, so markets times window_days (times 24 at bar 1h) must stay inside the row cap; the response states the window it used.	Not declared	Yes	Not declared	Not declared
`screen_universe`Screen the whole market on ONE completed interval with several conditions ANDed together. Pick bar (1d, the default, or 1h for completed hours; the anonymous trial is screened at 1d). Conditions use op >, <, >=, <=, between, top_pct or bottom_pct; top_pct/bottom_pct are deciles of your eligible markets, and the liquidity floor (USD/day at either bar) is applied before the deciles so they are measured over the population you are choosing from. Answers 'top-decile funding with bottom-decile open-interest change' and 'open interest rising faster than volume'. A market that does not report a field never satisfies a condition on it.	Screen the whole market on ONE completed interval with several conditions ANDed together. Pick bar (1d, the default, or 1h for completed hours; the anonymous trial is screened at 1d). Conditions use op >, <, >=, <=, between, top_pct or bottom_pct; top_pct/bottom_pct are deciles of your eligible markets, and the liquidity floor (USD/day at either bar) is applied before the deciles so they are measured over the population you are choosing from. Answers 'top-decile funding with bottom-decile open-interest change' and 'open interest rising faster than volume'. A market that does not report a field never satisfies a condition on it.	Not declared	Yes	Not declared	Not declared

Details

Registry status: Active
Published: Nov 6, 2026
Updated: Nov 6, 2026
Website: https://tesseralytics.dev/⁠ (opens in a new tab)
Repository: Not given
Categories (suggested): Data and analyticsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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