{
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  "artifact_sha256": "sha256:6502b892d7170a66a3c238bf5dee59831848615b8f8eda02f240b72ffb76f8ad",
  "data": {
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    "program_id": "prg_01kzwgnqymp3sedtbrvmbzqg7c",
    "offer_id": "off_01kzwgnqymb9vx18z2cdqx519f",
    "content": {
      "title": "Labelbees Operate Tier",
      "summary": "Approved incorporated teams running production Physical AI systems can receive up to $50,000 in platform credits with volume pricing, continuous evaluation, and strategic guidance.",
      "lifecycle": {
        "status": "active",
        "effective_from": "2026-08-13T02:55:00.000Z"
      },
      "economics": {
        "consideration": {
          "kind": "variable",
          "description": "The Operate tier uses custom volume-based pricing; the public source does not publish the resulting price."
        },
        "benefits": [
          {
            "benefit_id": "ben_01",
            "description": "Up to $50,000 in Labelbees platform credits",
            "kind": "credit",
            "value": {
              "kind": "up-to",
              "amount": {
                "currency": "USD",
                "minor_units": 5000000
              }
            }
          },
          {
            "benefit_id": "ben_02",
            "description": "Continuous data curation and evaluation, large-scale inference, system-level benchmarking, monitoring, and strategic guidance",
            "kind": "other"
          }
        ]
      },
      "eligibility": {
        "rule": {
          "kind": "all",
          "rules": [
            {
              "kind": "predicate",
              "criterion_id": "cri_01",
              "statement": "Applicant must be legally incorporated.",
              "fact": "company.is_incorporated",
              "operator": "eq",
              "value": {
                "type": "boolean",
                "value": true
              }
            },
            {
              "kind": "manual",
              "criterion_id": "cri_02",
              "statement": "Team must run production AI systems with ongoing data and evaluation needs and significant scale in data, models, or system complexity.",
              "reason": "not-machine-evaluable"
            },
            {
              "kind": "manual",
              "criterion_id": "cri_03",
              "statement": "Team must be building an AI-native product or infrastructure and receive Labelbees approval.",
              "reason": "not-machine-evaluable"
            }
          ]
        }
      },
      "roles": {
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      "access": {
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        "method": "form",
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}
