Catalog › com.fronesislabs/dcl-trust-oracle
Being measured Measurement in progress: 1 check(s) so far. A verdict needs at least 3 checks.
En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.
AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 2.3.1 · publisher website{
"mcpServers": {
"dcl-trust-oracle": {
"url": "https://mcp.fronesislabs.com/mcp"
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"com.fronesislabs/dcl-trust-oracle"} on https://faceabot.com/api/mcp.Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.
| When | Answers | Real task | Latency |
|---|---|---|---|
| 2026-10-06 13:46 UTC | ❌ timeout | 8000 ms |
initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.MCP-native AI evaluation: rubric audits, eval suites, and proof reports for AI/LLM output.
MCP endpoint :https://www.rubrkit.com/api/v1/mcp · website · measurements and detailsCloudflare Workers MCP server: llm-output-quality-monitor
MCP endpoint :https://api.lazy-mac.com/llm-output-quality-monitor/mcp · website · measurements and detailsLightning trust + audit oracle. Score, pay, and audit L402 endpoints with Ed25519 receipts.
Package npm :satrank-mcp · website · measurements and detailsPay-per-call AI evaluation MCP server. Score LLM outputs against benchmark rubrics via Workers AI.
MCP endpoint :https://eval.zuluworksai.com/mcp · website · measurements and detailsPrompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
MCP endpoint :https://completionkit.com/mcp · website · measurements and detailsShow your measured reliability on your README or website:
[](https://faceabot.com/tools/com.fronesislabs/dcl-trust-oracle)Data in JSON: /api/catalog?id=com.fronesislabs/dcl-trust-oracle · Stop probes:
POST /api/reliability/opt-outAI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt
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