{
  "api_contract": "sourcey.catalog-api/v1",
  "release_id": "sha256:065756b347c3485c5c9e9abea3d3b91abb57716db23341ccdd58215737ad6d65",
  "artifact_sha256": "sha256:6502b892d7170a66a3c238bf5dee59831848615b8f8eda02f240b72ffb76f8ad",
  "data": {
    "revision_contract": "sourcey.offer-revision/v1alpha1",
    "entity_id": "ent_01kzwgnqykpw9njh5x88279vbn",
    "program_id": "prg_01kzwgnqymp3sedtbrvmbzqg7c",
    "offer_id": "off_01kzwgnqymbp55phf58er053vf",
    "content": {
      "title": "Labelbees Scale Tier",
      "summary": "Approved incorporated Physical AI teams with demonstrated traction can receive up to $10,000 in platform credits, larger-scale evaluation, custom benchmarks, and priority support.",
      "lifecycle": {
        "status": "active",
        "effective_from": "2026-08-13T02:55:00.000Z"
      },
      "economics": {
        "consideration": {
          "kind": "none"
        },
        "benefits": [
          {
            "benefit_id": "ben_01",
            "description": "Up to $10,000 in Labelbees platform credits based on usage and volume",
            "kind": "credit",
            "value": {
              "kind": "up-to",
              "amount": {
                "currency": "USD",
                "minor_units": 1000000
              }
            }
          },
          {
            "benefit_id": "ben_02",
            "description": "Larger-scale inference and benchmarking, custom evaluation criteria, and priority support with defined service levels",
            "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 be actively improving real-world AI models toward production and demonstrate product, model, or dataset traction.",
              "reason": "not-machine-evaluable"
            },
            {
              "kind": "manual",
              "criterion_id": "cri_03",
              "statement": "Labelbees reviews the application for program alignment.",
              "reason": "vendor-discretion"
            }
          ]
        }
      },
      "roles": {
        "terms_authority_entity_id": "ent_01kzwgnqykpw9njh5x88279vbn",
        "access_operator_entity_id": "ent_01kzwgnqykpw9njh5x88279vbn"
      },
      "access": {
        "availability": "public",
        "method": "form",
        "url": "https://www.labelbees.com/startups"
      }
    },
    "revision_digest": "sha256:228c06c013c798392302c83918ea49dbd62a5149cf03c856696ba7b56eba42cc"
  }
}
