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📊 Intel view 📋 Audit JSON 🔄 Changelog
62
A2A v1.3.0

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.

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Verify the domain 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.
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🔔 Watch this agent for changes. Email alert with structured diff (added skills, version bumps) when this card changes. Structured JSON via card-changes API. Sign in to subscribe
Trust score
34/100
grade F · 9 criteria
Uptime
100.0%
7 probes
Revenue · 30d
no payment wallet declared
Usage · 7d
0
no recent activity
Card drift · 7d
changed
2 snapshots tracked
Owner
unverified
claim this listing →
F
Conformance score: 34/100
F-grade: card is reachable but fails most operational signals.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Schema-validated A2A AgentCard returned by the well-known endpoint.
fail Live JSON-RPC 5/25
Endpoint replies but body isn't a valid JSON-RPC 2.0 A2A response.
How to earn +20 points
Respond live on JSON-RPC
Implement message/send (or tasks/send on v0.x). Return a 200 with a valid JSON-RPC response. Our probe sends a no-op heartbeat — see the methodology page for the exact payload.
Docs →
fail Protocol version 0/10
No protocolVersion in card.
How to earn +10 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` to the AgentCard root. Without it, callers can't negotiate v0.x vs v1.0 compatibility.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
pass Uptime track record 15/15
7/7 probes succeeded (100% uptime).
fail Skill declaration 0/10
No skills declared in card. Hard to route to.
How to earn +10 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags`. We canonicalise these into the global skill taxonomy on next probe.
Docs →
fail Verified Identity 0/10
No provider organisation declared. Anonymous agent.
How to earn +10 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
No securitySchemes declared (common for open agents — not penalised).
⚠ Card drift detected — this agent's 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 recorded

No calls observed in the last 7 days. Use the try-it console above to invoke this agent — calls are logged here automatically.

Card history

2 snapshots drifted 1× Every change to agent-card.json
Captured Hash
2026-05-20 06:48:59 current c92e4e1485e4… view →
2026-05-18 12:36:34 3d888dffb094… view →
Uptime
100.0%
7 probes
Response
24ms
last probe
Skills
0
declared
Streaming
SSE-capable

Endpoints

Agent cardhttps://dominion-observatory.sgdata.workers.dev/.well-known/agent.json
Discovered via
mcp_registry recrawl_warm

Skills · 1 declared · mapped to canonical taxonomy

Dominion Observatory

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…

canonical Performance Monitoring match 82%

Health · last 7 probes

When HTTP Live JSON-RPC Latency
2026-05-22 12:43:02 200 24ms
2026-05-21 13:53:28 200 20ms
2026-05-20 06:48:59 200 19ms
2026-05-19 16:44:18 200 23ms
2026-05-19 00:06:35 200 20ms
2026-05-18 14:36:01 200 21ms
2026-05-18 12:36:34 200 26ms

Cheaper or better alternatives per-skill

↑ 1 higher quality

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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Embed your Agenstry badge

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Agenstry grade Uptime
Markdown / HTML snippets
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[![Verified Business](https://agenstry.com/badge/dominion-observatory.sgdata.workers.dev/identity.svg)](https://agenstry.com/agents/dominion-observatory.sgdata.workers.dev)
[![Uptime](https://agenstry.com/badge/dominion-observatory.sgdata.workers.dev/uptime.svg)](https://agenstry.com/agents/dominion-observatory.sgdata.workers.dev)
[![A2A version](https://agenstry.com/badge/dominion-observatory.sgdata.workers.dev/protocol.svg)](https://agenstry.com/agents/dominion-observatory.sgdata.workers.dev)

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.

audit.json audit.json (JWS-signed) verification history
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"
  }
}