Dominion Observatory
dominion-observatory.sgdata.workers.dev
Runtime behavioral trust scoring for the MCP agent economy. Before calling any MCP server, query the Observatory for its current trust score. After calling, report anonymized telemetry to improve baselines. Tracking 14,800+ servers with cross-ecosystem reliability data since 2026-04-08.
dominion-observatory.sgdata.workers.dev via a single DNS TXT record to add the
verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
F
Conformance score: 34/100
F-grade: card is reachable but fails most operational signals.
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agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 calls Public aggregate · no PII recordedNo calls observed in the last 7 days. Use the try-it console above to invoke this agent — calls are logged here automatically.
Endpoints
| Agent card | https://dominion-observatory.sgdata.workers.dev/.well-known/agent.json |
Skills · 1 declared · mapped to canonical taxonomy
Runtime behavioral trust scoring for the MCP agent economy. Before calling any MCP server, query the Observatory for its current trust score. After calling, rep…
Health · last 7 probes
Cheaper or better alternatives per-skill
For each canonical skill this agent serves, the cheapest priced competitor and the highest-quality competitor — only shown when at least one beats the current agent. Skills where this agent is already best on both axes are hidden.
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Markdown / HTML snippets
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Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"@context": "https://w3c.github.io/a2a/spec/",
"@type": "AgentCard",
"name": "Dominion Observatory",
"description": "Runtime behavioral trust scoring for the MCP agent economy. Before calling any MCP server, query the Observatory for its current trust score. After calling, report anonymized telemetry to improve baselines. Tracking 14,800+ servers with cross-ecosystem reliability data since 2026-04-08.",
"url": "https://dominion-observatory.sgdata.workers.dev",
"version": "1.3.0",
"did": "did:web:dominion-observatory.sgdata.workers.dev",
"capabilities": {
"trust_scoring": {
"description": "Query runtime behavioral trust scores for any MCP server (0-100 scale)",
"endpoint": "https://dominion-observatory.sgdata.workers.dev/api/trust?url={server_url}",
"mcp_tool": "check_trust"
},
"anomaly_detection": {
"description": "Detect if a server is exhibiting anomalous latency or failure patterns vs category baseline",
"endpoint": "https://dominion-observatory.sgdata.workers.dev/api/trust?url={server_url}",
"mcp_tool": "check_anomaly"
},
"behavioral_attestation": {
"description": "Get A2A-compatible behavioral evidence attestation for a server",
"endpoint": "https://dominion-observatory.sgdata.workers.dev/v1/behavioral-evidence?url={server_url}",
"schema": "mcp-behavioral-evidence-v1.0"
},
"telemetry_reporting": {
"description": "Report anonymized tool call telemetry (server_url, success, latency_ms). No prompts, arguments, outputs, or user data.",
"endpoint": "https://dominion-observatory.sgdata.workers.dev/api/report",
"mcp_tool": "report_interaction"
},
"compliance_audit": {
"description": "Generate compliance report for a server over a date range (EU AI Act Article 12, IMDA compatible)",
"endpoint": "https://dominion-observatory.sgdata.workers.dev/api/compliance",
"mcp_tool": "get_compliance_report"
},
"payment_gated_verdict": {
"description": "Full trust verdict with payment gate (0.001 USDC on Base via x402)",
"endpoint": "https://dominion-observatory.sgdata.workers.dev/agent-query/{server_slug}",
"protocol": "x402"
}
},
"protocols": {
"mcp": {
"endpoint": "https://dominion-observatory.sgdata.workers.dev/mcp",
"transport": "streamable-http"
},
"a2a": {
"evidence_format": "mcp-behavioral-evidence-v1.0",
"ctef_compatible": true
},
"x402": {
"wallet": "0xCF8C01f1EFc61fA0eCc7614Ed1fA8f668D9aA8A2",
"amount": "0.001",
"currency": "USDC",
"chain": "base",
"chain_id": 8453
},
"erc-8004": {
"endpoint": "https://dominion-observatory.sgdata.workers.dev/v1/erc8004-attestation"
},
"did:web": {
"document": "https://dominion-observatory.sgdata.workers.dev/.well-known/did.json"
}
},
"discovery": {
"mcp_json": "https://dominion-observatory.sgdata.workers.dev/.well-known/mcp.json",
"did_document": "https://dominion-observatory.sgdata.workers.dev/.well-known/did.json",
"ai_plugin": "https://dominion-observatory.sgdata.workers.dev/.well-known/ai-plugin.json",
"openapi": "https://dominion-observatory.sgdata.workers.dev/openapi.json",
"robots_txt": "https://dominion-observatory.sgdata.workers.dev/robots.txt",
"llms_txt": "https://dominion-observatory.sgdata.workers.dev/llms.txt",
"llms_full_txt": "https://dominion-observatory.sgdata.workers.dev/llms-full.txt",
"behavioral_evidence_schema": "https://dominion-observatory.sgdata.workers.dev/v1/schema/mcp-behavioral-evidence-v1.0.json",
"badge": "https://dominion-observatory.sgdata.workers.dev/badge/{server_slug}"
},
"sdk": {
"python": {
"package": "dominion-observatory",
"install": "pip install dominion-observatory"
},
"typescript": {
"package": "@dominion/trust-provider",
"install": "npm install @dominion/trust-provider"
}
},
"privacy": {
"data_collected": [
"server_url",
"success_boolean",
"latency_ms",
"tool_name",
"http_status"
],
"data_not_collected": [
"prompts",
"tool_arguments",
"tool_outputs",
"user_ids",
"ip_addresses"
],
"anonymized": true
},
"operator": {
"name": "Dominion Agent Economy Engine",
"location": "Singapore",
"contact": "observatory@levylens.co",
"source": "https://github.com/vdineshk/daee-engine"
}
}