com.mcpscores/agent-reliability-scores

MCPFax Reliability

Before you pay an endpoint you cannot vouch for: credit grade, drift and preflight.

Endpointhttps://mcpfax-reliability.bowling-anthony.workers.dev/mcp (streamable-http)
Registry version1.1.5
Now7 tools · grade C (74) · pin ts_320a9b01c944044c81a51b5a07f24958 · protocol 2025-06-18
First / last listed2026-11-07 00:21 UTC / 2026-11-07 00:21 UTC
Grade over time2026-11-07: C (74), 7 tools

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Timeline

First listing · 2026-11-07 00:21 UTC
7 tools, grade C (74)

Tools: mcpfax_endpoint_credit_score mcpfax_integration_drift mcpfax_wallet_authenticity mcpfax_endpoint_revenue_estimate mcpfax_payer_wallet_profile mcpfax_payto_change_feed mcpfax_preflight_check

Current tools (7)

mcpfax_endpoint_credit_scoreCreditworthiness grade for one x402 endpoint or MCP server: letter grade A-E (or NR when unrated), a 0-1000 score, per-component subscores, a confidence level, flags, and the dated evidence each figure rests on. Use this before trusting or paying an unfamiliar endpoint. The grade ranks observed risk; it is not a calibrated probability of failure, not validated over any forward horizon, and not a s
params: endpoint*
mcpfax_integration_driftWhat changed under an x402 endpoint or MCP server you have ALREADY integrated: payTo rotations, price, asset and network changes, terms added or removed, and tool-schema changes. This is not a discovery tool and will not help you choose a server; it tells you whether the one you wired in still matches what you wired in. Pass up to 50 subjects and the `since` watermark returned by your last call, a
params: subjects*, since
mcpfax_wallet_authenticityPayer-concentration and wash-risk assessment for a receiving wallet: how concentrated its observed payers are, the measured coverage of that observation, an explicit wash-risk haircut ONLY when coverage is sufficient, how many listings declare the same address, and observed USDC inflow. Use this to judge whether a seller's apparent revenue reflects real independent demand. The haircut and the adju
params: wallet*
mcpfax_endpoint_revenue_estimateObserved on-chain revenue signals for one listing: total USDC inflow, how many distinct payers, the modal transfer size, payment rate, 7- and 30-day trend windows, and where it sits in its cohort by percentile. Use this to size a seller's real traction. Inflow is observed on-chain and is not proven to be x402 sales revenue. Trend windows are only as wide as the wallet's real scanned span, which th
params: endpoint*
mcpfax_payer_wallet_profileKnow-your-agent profile for a paying wallet: how many distinct services it pays, total observed spend, whether the address is a contract or an externally owned account, and coverage-gated screening signals. Use this to vet a counterparty that is paying you. Screening signals are withheld with status "not_rated" until the observed record for the address clears the published coverage floor (14 days,
params: address*
mcpfax_payto_change_feedChronological feed of rating actions since a date: grade upgrades and downgrades, payTo wallet changes (a seller redirecting payment), listing removals, and returns. Use this to monitor a portfolio of endpoints for adverse changes rather than re-scoring each one. The feed cannot return events from before the observatory archive started; the response reports coverage.archive_since, coverage.rating_
params: since
mcpfax_preflight_checkCheck that an endpoint is live and that its terms have not changed, BEFORE you send it an expensive request. A $15 call with a hypothetical 2% loss rate carries $0.30 of expected loss; a reachability check cannot promise to prevent it. Compare the quoted fee with the value of the pending call and the failures this check can actually detect. For a cheap $0.001 lookup, the $0.008 fee is eight times
params: target*, expected_price, expected_payto, expected_schema_hash, max_age_seconds, probe_method

Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.