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.
F
Conformance score: 25/100
F-grade: card is reachable but fails most operational signals.
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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 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 1 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
{
"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"
]
}
}
]
}