Card snapshot

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.

{
  "protocolVersion": "0.3.0",
  "name": "DeltaSignal Gemini AI Agent",
  "description": "Issuer diligence agent that resolves DeltaSignal TripCodes into River memory, evidence boundaries, thesis deltas, and monitor-next workflows.",
  "url": "https://deltasignal-ai-agent-mhaufviwaq-uc.a.run.app/a2a",
  "version": "1.0.0",
  "capabilities": {
    "pushNotifications": false,
    "streaming": false
  },
  "skills": [
    {
      "id": "resolve-tripcode-research-packet",
      "name": "Resolve TripCode research packet",
      "description": "Resolve a TF-SUB TripCode into article memory, River continuity, filing evidence references, thesis evolution, caveats, and monitor-next items.",
      "tags": [
        "finance",
        "issuer-diligence",
        "tripcode",
        "research-memory",
        "sec-xbrl"
      ],
      "examples": [
        "Resolve TF-SUB-9DA70A7F98 and show what changed across the HUT River."
      ]
    },
    {
      "id": "monitor-tripcode-thesis",
      "name": "Monitor TripCode thesis",
      "description": "Use a TF-SUB TripCode as a post-publication thesis-monitor baseline for confirmed signals, weakened assumptions, stale evidence, invalidation checks, and monitor-next actions.",
      "tags": [
        "finance",
        "issuer-monitoring",
        "tripcode",
        "river-memory",
        "evidence-boundary"
      ],
      "examples": [
        "Monitor TF-SUB-9DA70A7F98 for weakened assumptions and next evidence checks."
      ]
    },
    {
      "id": "run-track3-scenario",
      "name": "Run Track 3 marketplace scenario",
      "description": "Run one of ten evidence-bound Track 3 A2A Marketplace scenarios against the HUT TripCode/River proof packet, returning explicit capability boundaries where live routes are not available.",
      "tags": [
        "finance",
        "a2a",
        "marketplace",
        "scenario",
        "hut",
        "evidence-boundary"
      ],
      "examples": [
        "Run scenario subscriber_tripcode_copilot for TF-SUB-9DA70A7F98."
      ]
    }
  ],
  "defaultInputModes": [
    "text/plain",
    "application/json"
  ],
  "defaultOutputModes": [
    "application/json"
  ],
  "provider": {
    "organization": "AITrailblazer",
    "url": "https://aitrailblazer.com"
  }
}