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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"
        ]
      }
    }
  ]
}