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DataSnack

ai.datasnack/datasnack · v1.1.0

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

Connect Remote server

Terminal
claude mcp add --transport http datasnack https://datasnack.ai/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "datasnack": {
      "url": "https://datasnack.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "datasnack": {
      "type": "http",
      "url": "https://datasnack.ai/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://datasnack.ai/mcp

Tools 21 found in our last check

  • 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.

  • 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.

  • 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 rea…

  • 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.

  • 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.

  • 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.

  • 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.

  • calibration

    How often prediction markets came true at each price, by days before they closed, from the markets DataSnack follows that have resolved.

  • 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.

  • get_me

    The signed-in reader's DataSnack account: handle, plan, and coverage used this month.

  • list_library

    The models the signed-in reader follows and the markets they cover.

  • follow_model

    Follow a model (or market) so its changes show in the reader's DataSnack Library and notices.

  • unfollow_model

    Stop following a model (or market).

  • list_notices

    The signed-in reader's DataSnack notices from the last 48 hours: changes to followed and covered models.

  • 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.

  • 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.

  • export_options

    Whether the signed-in reader can export a model to Excel now and, if not, why (they need to cover its market).

  • 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.

  • get_export

    The status of an Excel export and, when it is ready, its download link.

  • list_exports

    The signed-in reader's recent Excel exports.

  • 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.

Details

Endpointhttps://datasnack.ai/mcp (Streamable HTTP)
Endpointhttps://datasnack.ai/mcp/public (Streamable HTTP)
First published10 Nov 2026
Last updated10 Nov 2026
Registry nameai.datasnack/datasnack

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