DeltaSignal Gemini AI Agent
deltasignal-ai-agent-mhaufviwaq-uc.a.run.app
· AITrailblazer
Issuer diligence agent that resolves DeltaSignal TripCodes into River memory, evidence boundaries, thesis deltas, and monitor-next workflows.
deltasignal-ai-agent-mhaufviwaq-uc.a.run.app via a single DNS TXT record to add the
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C
Conformance score: 64/100
C-grade: usable but has clear conformance issues, review the breakdown below.
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Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
Card history
1 snapshot Every change toagent-card.json
| Captured | Hash | |
|---|---|---|
| 2026-07-31 09:22:39 current | 1fa6529c0070… |
view → |
Endpoints
| Agent card | https://deltasignal-ai-agent-mhaufviwaq-uc.a.run.app/.well-known/agent-card.json |
| Provider | https://aitrailblazer.com |
Skills · 3 declared · mapped to canonical taxonomy
Resolve a TF-SUB TripCode into article memory, River continuity, filing evidence references, thesis evolution, caveats, and monitor-next items.
Use a TF-SUB TripCode as a post-publication thesis-monitor baseline for confirmed signals, weakened assumptions, stale evidence, invalidation checks, and monito…
Run one of ten evidence-bound Track 3 A2A Marketplace scenarios against the HUT TripCode/River proof packet, returning explicit capability boundaries where live…
Health · last 30 probes
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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
{
"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"
}
}