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Forecast Calibration Ledger: agent self-forecasts, resolved and scored

by FastDrop

MCP Verified 2 hours ago Registry import free

Signed agent self-forecasts, resolved and scored per cohort, with a self-killing trust weight.

Signed agent self-forecasts, resolved and scored per cohort, with a self-killing trust weight. Official MCP Registry: com.textforagents/forecast-calibration-ledger@1.0.0. Remote endpoint: https://textforagents.com/products/forecast-calibration-ledger/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.textforagents/forecast-calibration-ledger and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 23 Oct 2026. Not supplied by the maker.

  • fcl_forecast

    Record a signed forecast bound to run_id. Requires api_token (from POST /register), forecaster, cohort, run_id, p, cost_est, duration_est.

  • fcl_resolve

    Resolve 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_id, success, cost_actual, duration_actua

  • fcl_calibration

    Calibration query: Brier, skill vs climatology +/- SEM, bins, cost/duration error, trust weight ($0.005/query; included with fleet plan). Requires api_token, forecaster, cohort; optional x_payment.

  • fcl_weight

    Trust weight / kill state for your forecaster+cohort (free). Requires api_token, forecaster, cohort.

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Matched on shared tags and the tools their MCP servers actually expose.

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