DataSnack

ai.datasnack/datasnackVersion 1.3.0

Seven-day forecasts of real-world numbers, linked and graded daily; sign-in adds Excel exports.

Status

Responds553 msNov 14, 2026, 13:29 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 13:29 UTC
Latency: 553 ms
Remotes responding: 2 of 2
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

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Connect

Streamable HTTP

https://datasnack.ai/mcpResponds561 msNov 14, 2026, 13:29 UTC

No sign-in

Claude Code

claude mcp add --transport http datasnack https://datasnack.ai/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: datasnack
Remote MCP server URL: https://datasnack.ai/mcp

Cursor

{
  "mcpServers": {
    "datasnack": {
      "url": "https://datasnack.ai/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"datasnack","type":"http","url":"https://datasnack.ai/mcp"}'

Streamable HTTP

https://datasnack.ai/mcp/publicResponds553 msNov 14, 2026, 13:28 UTC

No sign-in

Claude Code

claude mcp add --transport http datasnack https://datasnack.ai/mcp/public

Claude Desktop and claude.ai

1
2
3

Settings > Connectors > Add custom connector
Name: datasnack
Remote MCP server URL: https://datasnack.ai/mcp/public

Cursor

{
  "mcpServers": {
    "datasnack": {
      "url": "https://datasnack.ai/mcp/public"
    }
  }
}

VS Code

code --add-mcp '{"name":"datasnack","type":"http","url":"https://datasnack.ai/mcp/public"}'

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Tools

23 tools

Tools of DataSnack
	Description		Read-only	Idempotent	Open world
`calibration`How often prediction markets came true at each price, by days before they closed, from the markets DataSnack follows that have resolved.	How often prediction markets came true at each price, by days before they closed, from the markets DataSnack follows that have resolved.	No	Yes	Yes	No
`cover_market`Cover a market for the signed-in reader: DataSnack builds a model for it (or keeps working the one it has) every night, and the reader can export it to Excel. Uses one of the month's coverages from the reader's plan, or a coverage they bought.	Cover a market for the signed-in reader: DataSnack builds a model for it (or keeps working the one it has) every night, and the reader can export it to Excel. Uses one of the month's coverages from the reader's plan, or a coverage they bought.	No	No	Yes	No
`cover_status`Whether the signed-in reader can cover a market now (so DataSnack builds or keeps working its model every night) and, if not, why; with the reader's allowance and credits.	Whether the signed-in reader can cover a market now (so DataSnack builds or keeps working its model every night) and, if not, why; with the reader's allowance and credits.	No	Yes	Yes	No
`export_model`Create an Excel workbook of a DataSnack model the signed-in reader covers, with the model's equations as working formulas, its inputs and its record, and return a download link. Waits up to 20 seconds for the workbook; get_export finishes a slower one.	Create an Excel workbook of a DataSnack model the signed-in reader covers, with the model's equations as working formulas, its inputs and its record, and return a download link. Waits up to 20 seconds for the workbook; get_export finishes a slower one.	No	No	Yes	No
`export_options`Whether the signed-in reader can export a model to Excel now and, if not, why (they need to cover its market).	Whether the signed-in reader can export a model to Excel now and, if not, why (they need to cover its market).	No	Yes	Yes	No
`follow_model`Follow a model (or market) so its changes show in the reader's DataSnack Library and notices.	Follow a model (or market) so its changes show in the reader's DataSnack Library and notices.	No	No	Yes	No
`get_export`The status of an Excel export and, when it is ready, its download link.	The status of an Excel export and, when it is ready, its download link.	No	Yes	Yes	No
`get_me`The signed-in reader's DataSnack account: handle, plan, and coverage used this month.	The signed-in reader's DataSnack account: handle, plan, and coverage used this month.	No	Yes	Yes	No
`get_model`Read one DataSnack model: the question, the market's number now, the model's forecast for seven days from now, how the model works, its sources and its graded record including misses.	Read one DataSnack model: the question, the market's number now, the model's forecast for seven days from now, how the model works, its sources and its graded record including misses.	No	Yes	Yes	No
`get_question`One of DataSnack's questions: the finding, the answer now and in seven days, the working, what it runs on (DataSnack's models, published figures with their sources, and the reader's assumptions) and the record. With set, the service recomputes with those assumptions; the result is marked custom.	One of DataSnack's questions: the finding, the answer now and in seven days, the working, what it runs on (DataSnack's models, published figures with their sources, and the reader's assumptions) and the record. With set, the service recomputes with those assumptions; the result is marked custom.	No	Yes	Yes	No
`get_reference_workbook`A free DataSnack Excel workbook with working formulas: the tariffs → mortgage rates lab, a chain of five models fitted on public FRED data (import prices, producer prices, consumer prices, the 10-year yield and the 30-year mortgage rate). No account needed.	A free DataSnack Excel workbook with working formulas: the tariffs → mortgage rates lab, a chain of five models fitted on public FRED data (import prices, producer prices, consumer prices, the 10-year yield and the 30-year mortgage rate). No account needed.	No	Yes	Yes	No
`head_to_head`DataSnack's numbers beside big forecasters' published numbers for the same months, each made the day before theirs from public data, prediction markets and the news, and graded the same way. The equation and the record download as a spreadsheet.	DataSnack's numbers beside big forecasters' published numbers for the same months, each made the day before theirs from public data, prediction markets and the news, and graded the same way. The equation and the record download as a spreadsheet.	No	Yes	Yes	No
`list_exports`The signed-in reader's recent Excel exports.	The signed-in reader's recent Excel exports.	No	Yes	Yes	No
`list_library`The models the signed-in reader follows and the markets they cover.	The models the signed-in reader follows and the markets they cover.	No	Yes	Yes	No
`list_notices`The signed-in reader's DataSnack notices from the last 48 hours: changes to followed and covered models.	The signed-in reader's DataSnack notices from the last 48 hours: changes to followed and covered models.	No	Yes	Yes	No
`overnight`What DataSnack's agents did last night: rounds run, model changes kept and rejected, the biggest miss, where DataSnack and the market differ most, and the scoreboard.	What DataSnack's agents did last night: rounds run, model changes kept and rejected, the biggest miss, where DataSnack and the market differ most, and the scoreboard.	No	Yes	Yes	No
`questions`Odd questions about everyday costs, each answered by a calculation that runs on DataSnack's live models, with the answer now and in seven days, the working, the sources and the record.	Odd questions about everyday costs, each answered by a calculation that runs on DataSnack's live models, with the answer now and in seven days, the working, the sources and the record.	No	Yes	Yes	No
`scoreboard`How DataSnack's models and agents did over the last 30 days: how far off the seven-day forecasts landed, how often they beat standing still, and how often the direction was right.	How DataSnack's models and agents did over the last 30 days: how far off the seven-day forecasts landed, how often they beat standing still, and how often the direction was right.	No	Yes	Yes	No
`search_models`Search DataSnack's public forecasting models of prediction-market questions. Each result gives the question, the market's number now (and which market it comes from), DataSnack's forecast for seven days from now, and the model's page.	Search DataSnack's public forecasting models of prediction-market questions. Each result gives the question, the market's number now (and which market it comes from), DataSnack's forecast for seven days from now, and the model's page.	No	Yes	Yes	No
`start_checkout`A Stripe checkout link for the signed-in reader to open in their browser and pay: DataSnack Plus monthly or yearly, or one market coverage. Nothing is charged by this tool.	A Stripe checkout link for the signed-in reader to open in their browser and pay: DataSnack Plus monthly or yearly, or one market coverage. Nothing is charged by this tool.	No	No	No	Yes
`unfollow_model`Stop following a model (or market).	Stop following a model (or market).	No	No	Yes	No
`world`DataSnack's World Machine: models of real-world numbers (fuel and food prices, freight, yields and mortgage rates, shipping, currencies, AI model ratings, company value), each predicting its number in seven days, with each model's record against standing still, the models it reads and that read it, and the scorecard.	DataSnack's World Machine: models of real-world numbers (fuel and food prices, freight, yields and mortgage rates, shipping, currencies, AI model ratings, company value), each predicting its number in seven days, with each model's record against standing still, the models it reads and that read it, and the scorecard.	No	Yes	Yes	No
`world_scenario`Set one World Machine model's number in seven days and read the models that move through the links. These are the models' numbers under that assumption, not predictions that it will happen.	Set one World Machine model's number in seven days and read the models that move through the links. These are the models' numbers under that assumption, not predictions that it will happen.	No	Yes	Yes	No

Details

Registry status: Active
Published: Nov 14, 2026
Updated: Nov 14, 2026
Website: https://datasnack.ai/⁠ (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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