{
      "tool_id": "art-306-agent-insurability-evidence-scorer",
      "tool_version": "1.0.0",
      "display_name": "Agent Insurability Evidence Scorer",
      "mcp_name": "score_agent_insurability_evidence",
      "mandate_type": "compliance_mandate",
      "wave": 54,
      "gpu": false,
      "url": "https://ainumbers.co/chaingraph/art-306-agent-insurability-evidence-scorer.html",
      "description": "Scores an agent execution evidence bundle for underwriter-facing evidence completeness across four dimensions (determinism, replayability, oversight density, dispute history) using a version-pinned rubric selected by underwriter_profile: aiuc, aisure (Munich Re aiSure evidence-doc list), armilla (KPI-warranty dimensions), or generic (equal-weight union). Optional incident_history (shared incident_record schema) and reputation inputs are supported; self-asserted reputation is recorded but zero-weighted in the composite. This scores evidence completeness only, never an insurability decision, a reserve attestation, or an insurable/not-insurable verdict -- selling or underwriting insurance is out of scope. Zero network, zero PII.",
      "input_schema_ref": "chaingraph/art-306-agent-insurability-evidence-scorer.html#manifest",
      "deadline": null,
      "deadline_note": "Rubric weight tables are version-tagged (rubric-2026-q1); a rubric revision bumps the version, not the fixed threshold logic.",
      "consumes": [],
      "feeds": [
        "art-307-claim-dispute-bundle-builder"
      ],
      "status": "live",
      "conformance_fixtures": true,
      "compute_capability": "server",
      "compute_images": [{"system":"sha256-source","image_id":"sha256:f50363027fceb9b9a98ba34c1f35c4327444cc91359d34e351167d15f2812013","valid_from":"2026-07-10"},{"system":"risc0","image_id":"sha256:a1a0bc89b5b1febaeda3519f6dbade0fa5ac16beeb143c4e1b01689573567bc6","valid_from":"2026-06-28"}],
      "compute_proof": {
        "type": "ZkVmReceipt",
        "system": "risc0",
        "receiptFormat": "groth16-bn254",
        "imageId": "sha256:a1a0bc89b5b1febaeda3519f6dbade0fa5ac16beeb143c4e1b01689573567bc6",
        "seal": "B215HasEeJPWKtO+V0EREOhvMVoKgFbsnT9YxBstpOIWVmEvcfwItHqJCmAP8qYAFjuiGtQCHfhjJguMOhJsbhkHQgBaT08RanoWlBX1oFqCLfjjPVyrILt9vdH9CyuGDVCxziGMGYcBwmCc9agsDkFUmTq5diuI0qi/k1DLYkMtINtejB4sVqc45UTNDAlXKp6Dt5iJ4zdfcAeBnGcjBSQ+rBA92Mnbw+8Zfym8+QpedbQcOSkr9UghPHLLUQvuDzU+6qm2UiwTpB/CVdHDmJPKuyqGinSan4AvPzXbYO0d2wBBxafhzF13PvTQSKND9G05lKFvmSazfM6fiwtAvQ==",
        "journal": {
          "chaingraph_version": "0.4.0",
          "kernel_digest": "sha256:f50363027fceb9b9a98ba34c1f35c4327444cc91359d34e351167d15f2812013",
          "output": {
            "composite": 0.7999999999999999,
            "dims": {
              "determinism": 1,
              "dispute_history": 0.5,
              "oversight_density": 0.5,
              "replayability": 1
            },
            "incident_history_provided": false,
            "insufficient_evidence": false,
            "reputation_self_asserted": false,
            "rubric_version": "rubric-2026-q1",
            "underwriter_profile": "aiuc"
          }
        }
      },
      "export_capability": [
        "json",
        "vc"
      ]
    }
