agent-eligibility
by FastDrop
Deterministic eligibility scoring for AI agents: CLEAR/HOLD/FAIL verdicts, published weights.
Deterministic eligibility scoring for AI agents: CLEAR/HOLD/FAIL verdicts, published weights. Official MCP Registry: com.pythonanywhere.paynemuse/agent-eligibility@1.0.0. Remote endpoint: https://paynemuse.pythonanywhere.com/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.pythonanywhere.paynemuse/agent-eligibility 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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Read directly from the endpoint on 13 Oct 2026. Not supplied by the maker.
evaluate_eligibilityScore one (agent, task) pair. Returns the scorer's full result dict as JSON text: decision (CLEAR/HOLD/FAIL), score 0-100, confidence, reasons, next_action, plus evaluation metadata. Unknown (
get_scoring_tableReturn the v1.0.0 deduction table, decision bands, confidence rules, and rules version as JSON, so a client can display the published rules.
list_paid_servicesList the paid x402 services offered by Payne Machine Foundry (prices, endpoints, how to buy). The MCP tools themselves are free.
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