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Card snapshot
methodic-2030382823.us-central1.run.app
·
2026-05-23 02:19:53 UTC
·
b892107c3d21a26061cfec2d26b1e4d601dead14df2c7026115613b249895a3c
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.
{
"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"
]
}
}
]
}