Card snapshot
a2a-meta-clones-slot-2-production.up.railway.app
·
2026-08-16 09:58:10 UTC
·
6f5c9f46a41b92713e145e0c27420c9ba7c8acbe942348b3c3f5d463a21fa514
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
{
"fable5_signature": "F5-2026-08-15-audit-bazaar-a2a-v1-card",
"$comment": "A2A v1.0-shaped Agent Card for machine buyers. Serve at /.well-known/agent-card.json. Claims limited to docs/proof-points-ledger.md \u2705|YES rows.",
"name": "A2A-Meta multiplexer (agent-ledger, compliance-lens)",
"url": "https://slot-2.withkodex.com",
"description": "Deterministic deployer evidence packs for EU AI Act Art. 26(4)-(7) + Art. 50. Zero LLM in the evidence path. Same inputs yield byte-identical JSON/PDF/SHA256/replay artifacts. Hosted on this origin: agent-ledger, compliance-lens.",
"version": "0.2.0",
"provider": {
"organization": "A2A-Meta / Dyson",
"url": "https://slot-2.withkodex.com",
"contactEmail": "hallo@withkodex.com"
},
"capabilities": {
"streaming": false,
"pushNotifications": false
},
"skills": [
{
"id": "eu-ai-act-evidence-pack",
"name": "EU AI Act Deployer Evidence Pack",
"description": "Evaluates five deployer obligations (Art. 26(4)-(7) + Art. 50) against operational evidence sources. Emits evidence.json, compliance_posture.json, evidence.pdf (<5MB), evidence.sha256, replay_command.json. Deterministic replay; zero LLM.",
"tags": [
"compliance",
"eu-ai-act",
"evidence",
"audit",
"deployer"
],
"examples": [
"Monthly evidence pack for high-risk support-triage deployment",
"Replay prior audit_id and verify byte-identical PDF + SHA256"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json",
"application/pdf"
]
},
{
"id": "compliance-posture",
"name": "Compliance Posture Projection",
"description": "Derives compliance_posture.json from an evidence.json payload. Deterministic projection \u2014 no LLM.",
"tags": [
"compliance",
"posture",
"eu-ai-act"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
}
],
"supportedInterfaces": [
{
"url": "https://slot-2.withkodex.com/clone/agent-ledger/mcp",
"protocolBinding": "HTTP+JSON",
"protocolVersion": "1.0"
},
{
"url": "https://slot-2.withkodex.com/clone/compliance-lens/mcp",
"protocolBinding": "HTTP+JSON",
"protocolVersion": "1.0"
}
],
"defaultInputModes": [
"application/json",
"text/plain"
],
"defaultOutputModes": [
"application/json",
"application/pdf"
],
"securitySchemes": {
"apiKey": {
"type": "apiKey",
"in": "header",
"name": "x-api-key"
}
},
"documentationUrl": "https://slot-2.withkodex.com/.well-known/openapi.yaml",
"discovery": {
"pricing_url": "https://slot-2.withkodex.com/.well-known/pricing.json",
"trust_signals_url": "https://slot-2.withkodex.com/.well-known/trust-signals.json",
"attestation_url": "https://slot-2.withkodex.com/.well-known/attestation.json",
"agent_json_url": "https://slot-2.withkodex.com/.well-known/agent.json",
"mcp_well_known": "https://slot-2.withkodex.com/.well-known/mcp-server"
},
"hosted_clones": [
"agent-ledger",
"compliance-lens"
]
}