com.textforagents/forecast-calibration-ledger
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Publisher-provided title
Forecast Calibration Ledger: agent self-forecasts, resolved and scored
Publisher-provided description
Signed agent self-forecasts, resolved and scored per cohort, with a self-killing trust weight.
Summary by lookupd
Lets an agent log its own probability forecasts, resolve them against run records, and query calibration scores and trust weight.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http forecast-calibration-ledger https://textforagents.com/products/forecast-calibration-ledger/mcp
Codex, remote (streamable-http)
codex mcp add forecast-calibration-ledger --url https://textforagents.com/products/forecast-calibration-ledger/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"forecast-calibration-ledger": {
"url": "https://textforagents.com/products/forecast-calibration-ledger/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (4 tools)
Publisher-provided text
fcl_forecastRecord a signed forecast bound to run_id. Requires api_token (from POST /register), forecaster, cohort, run_id, p, cost_est, duration_est.fcl_resolveResolve a forecast against its run record ($0.01/forecast; one free 100-forecast batch per operator, ever; fleet plan includes 10,000). Requires api_token, run_fcl_calibrationCalibration query: Brier, skill vs climatology +/- SEM, bins, cost/duration error, trust weight ($0.005/query; included with fleet plan). Requires api_token, fofcl_weightTrust weight / kill state for your forecaster+cohort (free). Requires api_token, forecaster, cohort.
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 188 ms
- First indexed:
- Last seen in registry:
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