{"@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"}}