methodic
methodic-2030382823.us-central1.run.app
Autonomous B2B win-loss research agent. Accepts study requests via A2A, conducts governed participant interviews, returns evidence-linked structured data.
methodic-2030382823.us-central1.run.app 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.
Raw error
HTTP 404
F
Conformance score: 39/100
F-grade: card is reachable but fails most operational signals.
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Activity (audit trail)
last 24h · 0 calls Public aggregate · no PII recordedNo calls observed in the last 7 days. 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 | |
|---|---|---|
| 2026-05-23 02:19:53 current | b892107c3d21… |
view → |
Endpoints
| Agent card | https://methodic-2030382823.us-central1.run.app/.well-known/agent-card.json |
Skills · 2 declared · mapped to canonical taxonomy
Conduct a B2B win-loss research study with methodology review, adaptive interviews, and BigQuery export.
Given a problem domain, generate a structured study brief with research questions, hypotheses, and target variables.
Health · last 30 probes
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[](https://agenstry.com/agents/methodic-2030382823.us-central1.run.app) [](https://agenstry.com/agents/methodic-2030382823.us-central1.run.app) [](https://agenstry.com/agents/methodic-2030382823.us-central1.run.app) [](https://agenstry.com/agents/methodic-2030382823.us-central1.run.app)
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
{
"name": "methodic",
"description": "Autonomous B2B win-loss research agent. Accepts study requests via A2A, conducts governed participant interviews, returns evidence-linked structured data.",
"version": "2.0.0",
"url": "https://methodic-2030382823.us-central1.run.app",
"capabilities": {
"streaming": true,
"pushNotifications": false,
"a2a": true
},
"a2aEndpoints": {
"tasksSend": "/a2a/tasks/send",
"tasksGet": "/a2a/tasks/{id}",
"tasksSendSubscribe": "/a2a/tasks/sendSubscribe",
"tasksCancel": "/a2a/tasks/{id}/cancel"
},
"authentication": {
"schemes": [
"none"
]
},
"defaultInputModes": [
"text/plain",
"application/json"
],
"defaultOutputModes": [
"text/plain",
"application/json"
],
"skills": [
{
"id": "win_loss_study",
"name": "Win-Loss Study",
"description": "Conduct a B2B win-loss research study with methodology review, adaptive interviews, and BigQuery export.",
"tags": [
"research",
"b2b",
"win-loss"
],
"inputSchema": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "The business question to investigate"
}
},
"required": [
"question"
]
}
},
{
"id": "domain_discovery",
"name": "Domain Discovery",
"description": "Given a problem domain, generate a structured study brief with research questions, hypotheses, and target variables.",
"tags": [
"discovery",
"planning",
"research-design"
],
"inputSchema": {
"type": "object",
"properties": {
"domain": {
"type": "string",
"description": "Problem domain to investigate"
},
"context": {
"type": "string",
"description": "Additional business context"
}
},
"required": [
"domain"
]
}
}
]
}