ai.datasnack/datasnack
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Publisher-provided title
DataSnack
Publisher-provided description
Seven-day forecasts of real-world numbers, linked and graded daily; sign-in adds Excel exports.
Summary by lookupd
Searches and reads public forecasts of prediction-market questions, plus scores and calibration data; signed-in users can track models and…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http datasnack https://datasnack.ai/mcp
Claude Code, remote (streamable-http)
claude mcp add --transport http datasnack https://datasnack.ai/mcp/public
Codex, remote (streamable-http)
codex mcp add datasnack --url https://datasnack.ai/mcp
Codex, remote (streamable-http)
codex mcp add datasnack --url https://datasnack.ai/mcp/public
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"datasnack": {
"url": "https://datasnack.ai/mcp"
}
}
}Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"datasnack": {
"url": "https://datasnack.ai/mcp/public"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (18 tools)
Publisher-provided text
search_modelsSearch DataSnack's public forecasting models of prediction-market questions. Each result gives the question, the market's number now (and which market it comesget_modelRead 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 rovernightWhat 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 scorescoreboardHow 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 dcalibrationHow often prediction markets came true at each price, by days before they closed, from the markets DataSnack follows that have resolved.get_reference_workbookA free DataSnack Excel workbook with working formulas: the tariffs → mortgage rates lab, a chain of five models fitted on public FRED data (import prices, produget_meThe signed-in reader's DataSnack account: handle, plan, and coverage used this month.list_libraryThe models the signed-in reader follows and the markets they cover.follow_modelFollow a model (or market) so its changes show in the reader's DataSnack Library and notices.unfollow_modelStop following a model (or market).list_noticesThe signed-in reader's DataSnack notices from the last 48 hours: changes to followed and covered models.cover_statusWhether 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 acover_marketCover 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. Uexport_optionsWhether the signed-in reader can export a model to Excel now and, if not, why (they need to cover its market).export_modelCreate 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 returnget_exportThe status of an Excel export and, when it is ready, its download link.list_exportsThe signed-in reader's recent Excel exports.start_checkoutA 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 b
Details
- Version: 1.1.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 618 ms
- First indexed:
- Last seen in registry:
- Website: https://datasnack.ai/
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