{
  "contract": "sourcey.site-record/v1alpha1",
  "release_id": "sha256:f94358e3c57b6e575ca58c8031b9b7552cbfdb411f937b8ecdc3b042c4980a77",
  "snapshot_id": "sha256:0679a3f0d41c0733e76d10ab3fb1b331811893c7d428749740ec0f21ac731d3e",
  "artifact_sha256": "sha256:7472396c2449279d33e7a0fb2426f02a89991501262d1db8c04c81d57bdf9021",
  "data": {
    "entity_id": "ent_01kyh8fpe4m8296zng9ncsnbqs",
    "slug": "neo4j",
    "name": "Neo4j",
    "description": "Neo4j is a graph database platform built to store, query, and analyze connected data for context-aware AI applications.",
    "website": "https://neo4j.com",
    "category": "databases",
    "revision_digest": "sha256:17bfafd6ca8289d71b3aba7d40feaa7c08c2ea4498a243a4b167fdffcb0f1cc1",
    "provenance": {
      "tier": "observed",
      "freshness": "fresh",
      "dispute": "none",
      "coverage_policy_digest": "sha256:ad047d71e9ec777fe3f9d12e69ce5a567bbac4ca00ef71096415d2c125608a34",
      "freshness_policy_digest": "sha256:f4e31a29c2ce994bb8c3009207294ffa086e82b8e0d695abc95d6d6bdb30c2e5",
      "basis_event_ids": [
        "sha256:7f22f1d761ffd2ce2a9a0fe6b3a6aeb52557c953e32d183999c30f73c7a2da30"
      ],
      "fields": [
        {
          "path": "/name",
          "supporting_event_ids": [
            "sha256:7f22f1d761ffd2ce2a9a0fe6b3a6aeb52557c953e32d183999c30f73c7a2da30"
          ],
          "contradicting_event_ids": [],
          "accepted_proof_kinds": [
            "observed"
          ],
          "evidence_proof_kinds": [
            "observed"
          ],
          "latest_observation_at": "2026-07-27T07:37:13.263Z",
          "freshness": "fresh"
        },
        {
          "path": "/description",
          "supporting_event_ids": [
            "sha256:7f22f1d761ffd2ce2a9a0fe6b3a6aeb52557c953e32d183999c30f73c7a2da30"
          ],
          "contradicting_event_ids": [],
          "accepted_proof_kinds": [
            "observed",
            "editorial"
          ],
          "evidence_proof_kinds": [
            "editorial"
          ],
          "latest_observation_at": "2026-07-27T07:37:13.263Z",
          "freshness": "fresh"
        },
        {
          "path": "/domains",
          "supporting_event_ids": [
            "sha256:7f22f1d761ffd2ce2a9a0fe6b3a6aeb52557c953e32d183999c30f73c7a2da30"
          ],
          "contradicting_event_ids": [],
          "accepted_proof_kinds": [
            "observed"
          ],
          "evidence_proof_kinds": [
            "observed"
          ],
          "latest_observation_at": "2026-07-27T07:37:13.263Z",
          "freshness": "fresh"
        },
        {
          "path": "/category",
          "supporting_event_ids": [
            "sha256:7f22f1d761ffd2ce2a9a0fe6b3a6aeb52557c953e32d183999c30f73c7a2da30"
          ],
          "contradicting_event_ids": [],
          "accepted_proof_kinds": [
            "editorial"
          ],
          "evidence_proof_kinds": [
            "editorial"
          ],
          "latest_observation_at": "2026-07-27T07:37:13.263Z",
          "freshness": "fresh"
        },
        {
          "path": "/links",
          "supporting_event_ids": [
            "sha256:7f22f1d761ffd2ce2a9a0fe6b3a6aeb52557c953e32d183999c30f73c7a2da30"
          ],
          "contradicting_event_ids": [],
          "accepted_proof_kinds": [
            "observed"
          ],
          "evidence_proof_kinds": [
            "observed"
          ],
          "latest_observation_at": "2026-07-27T07:37:13.263Z",
          "freshness": "fresh"
        }
      ]
    },
    "programs": [
      {
        "program_id": "prg_01kyyts97t489dn9xs9cnyy2zv",
        "slug": "neo4j-startup-program",
        "title": "Neo4j startup program",
        "summary": "Neo4j startup program provides early-stage startups with Aura credits, expert guidance, and co-marketing opportunities.",
        "revision_digest": "sha256:f1dc276e9773c4ecac66b2ebab42c508aa63462a0f32c46f26469c53b107212a",
        "provenance": {
          "tier": "observed",
          "freshness": "fresh",
          "dispute": "none",
          "coverage_policy_digest": "sha256:ad047d71e9ec777fe3f9d12e69ce5a567bbac4ca00ef71096415d2c125608a34",
          "freshness_policy_digest": "sha256:f4e31a29c2ce994bb8c3009207294ffa086e82b8e0d695abc95d6d6bdb30c2e5",
          "basis_event_ids": [
            "sha256:7a8b7bab725a3fe8d517a6d9cf62072a3402d007a359bee49d3828e8ed3aa09d"
          ],
          "fields": [
            {
              "path": "/title",
              "supporting_event_ids": [
                "sha256:7a8b7bab725a3fe8d517a6d9cf62072a3402d007a359bee49d3828e8ed3aa09d"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "editorial"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-08-01T06:42:55.540Z",
              "freshness": "fresh"
            }
          ]
        }
      }
    ],
    "offers": [
      {
        "offer_id": "off_01kyh8fpe481pd2jnjrc9fr9qr",
        "slug": "neo4j-startup-program",
        "title": "Neo4j Startup Program",
        "summary": "Eligible early-stage startups can receive up to $16K in Neo4j Aura credits, expert guidance from graph engineers, and co-marketing opportunities.",
        "economics": {
          "consideration": {
            "kind": "unknown",
            "description": "The source record did not establish separate consideration."
          },
          "benefits": [
            {
              "benefit_id": "ben_primary",
              "description": "Up to $16K in Aura credits",
              "kind": "other"
            }
          ]
        },
        "eligibility": {
          "rule": {
            "kind": "manual",
            "criterion_id": "cri_requirement_01",
            "statement": "Available for startups at Series B or earlier building a product for multiple customers (excluding dev shops, consultants, or agencies) with a functioning website and company LinkedIn profile.",
            "reason": "not-machine-evaluable"
          }
        },
        "roles": {
          "terms_authority_entity_id": "ent_01kyh8fpe4m8296zng9ncsnbqs",
          "access_operator_entity_id": "ent_01kyh8fpe4m8296zng9ncsnbqs"
        },
        "access": {
          "availability": "public",
          "method": "form",
          "url": "https://neo4j.com/startup-program/"
        },
        "lifecycle": "active",
        "effective_from": "2026-07-27T07:37:13.263Z",
        "revision_digest": "sha256:493fddebffbc633a90a8c2c819c7f1918a7bbe4892171bf20c38b454b4bf686c",
        "provenance": {
          "tier": "observed",
          "freshness": "fresh",
          "dispute": "none",
          "coverage_policy_digest": "sha256:ad047d71e9ec777fe3f9d12e69ce5a567bbac4ca00ef71096415d2c125608a34",
          "freshness_policy_digest": "sha256:f4e31a29c2ce994bb8c3009207294ffa086e82b8e0d695abc95d6d6bdb30c2e5",
          "basis_event_ids": [
            "sha256:de457500e56a4e1abb66cb5dacb39d0356c1811b47032b820ef8ef989e868aa6"
          ],
          "fields": [
            {
              "path": "/title",
              "supporting_event_ids": [
                "sha256:de457500e56a4e1abb66cb5dacb39d0356c1811b47032b820ef8ef989e868aa6"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "editorial"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-07-27T07:37:13.263Z",
              "freshness": "fresh"
            },
            {
              "path": "/summary",
              "supporting_event_ids": [
                "sha256:de457500e56a4e1abb66cb5dacb39d0356c1811b47032b820ef8ef989e868aa6"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "editorial"
              ],
              "evidence_proof_kinds": [
                "editorial"
              ],
              "latest_observation_at": "2026-07-27T07:37:13.263Z",
              "freshness": "fresh"
            },
            {
              "path": "/lifecycle",
              "supporting_event_ids": [
                "sha256:de457500e56a4e1abb66cb5dacb39d0356c1811b47032b820ef8ef989e868aa6"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-07-27T07:37:13.263Z",
              "freshness": "fresh"
            },
            {
              "path": "/economics",
              "supporting_event_ids": [
                "sha256:de457500e56a4e1abb66cb5dacb39d0356c1811b47032b820ef8ef989e868aa6"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-07-27T07:37:13.263Z",
              "freshness": "fresh"
            },
            {
              "path": "/eligibility",
              "supporting_event_ids": [
                "sha256:de457500e56a4e1abb66cb5dacb39d0356c1811b47032b820ef8ef989e868aa6"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-07-27T07:37:13.263Z",
              "freshness": "fresh"
            },
            {
              "path": "/roles",
              "supporting_event_ids": [
                "sha256:de457500e56a4e1abb66cb5dacb39d0356c1811b47032b820ef8ef989e868aa6"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "derived"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-07-27T07:37:13.263Z",
              "freshness": "fresh"
            },
            {
              "path": "/access",
              "supporting_event_ids": [
                "sha256:de457500e56a4e1abb66cb5dacb39d0356c1811b47032b820ef8ef989e868aa6"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "derived"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-07-27T07:37:13.263Z",
              "freshness": "fresh"
            }
          ]
        }
      },
      {
        "program_id": "prg_01kyyts97t489dn9xs9cnyy2zv",
        "offer_id": "off_01kyyts97vrwvjk2hzser10zjz",
        "slug": "up-to-16k-in-aura-credits",
        "title": "Up to $16K in Aura credits",
        "summary": "Eligible early-stage startups at Series B or earlier receive up to $16,000 in Aura credits to build and scale on Neo4j's production-ready graph database.",
        "economics": {
          "consideration": {
            "kind": "none"
          },
          "benefits": [
            {
              "benefit_id": "ben_01",
              "description": "Up to $16,000 in Neo4j Aura credits",
              "kind": "credit",
              "value": {
                "kind": "up-to",
                "amount": {
                  "currency": "USD",
                  "minor_units": 1600000
                }
              }
            }
          ]
        },
        "eligibility": {
          "rule": {
            "kind": "all",
            "rules": [
              {
                "kind": "predicate",
                "criterion_id": "cri_01",
                "statement": "Startup must be at Series B or earlier.",
                "fact": "company.stage",
                "operator": "in",
                "value": {
                  "type": "string-set",
                  "values": [
                    "Pre-Seed",
                    "Seed",
                    "Series A",
                    "Series B"
                  ]
                }
              },
              {
                "kind": "predicate",
                "criterion_id": "cri_02",
                "statement": "Startup must build a single product for many customers, not a custom product for individual customers.",
                "fact": "company.business_model",
                "operator": "neq",
                "value": {
                  "type": "string",
                  "value": "agency_or_consulting"
                }
              },
              {
                "kind": "predicate",
                "criterion_id": "cri_03",
                "statement": "Startup must have a live, functioning website.",
                "fact": "company.website_url",
                "operator": "present"
              },
              {
                "kind": "predicate",
                "criterion_id": "cri_04",
                "statement": "Startup must have a valid company profile on LinkedIn and a direct association with the person who is applying.",
                "fact": "company.linkedin_profile",
                "operator": "present"
              }
            ]
          }
        },
        "roles": {
          "terms_authority_entity_id": "ent_01kyh8fpe4m8296zng9ncsnbqs",
          "access_operator_entity_id": "ent_01kyh8fpe4m8296zng9ncsnbqs"
        },
        "access": {
          "availability": "public",
          "method": "form",
          "url": "https://neo4j.com/startup-program/"
        },
        "lifecycle": "active",
        "effective_from": "2026-08-01T06:42:55.540Z",
        "revision_digest": "sha256:59d2699d24513e4011de3905b63bee25b2deed3d418e76d78034a42ff2120b05",
        "provenance": {
          "tier": "observed",
          "freshness": "fresh",
          "dispute": "none",
          "coverage_policy_digest": "sha256:ad047d71e9ec777fe3f9d12e69ce5a567bbac4ca00ef71096415d2c125608a34",
          "freshness_policy_digest": "sha256:f4e31a29c2ce994bb8c3009207294ffa086e82b8e0d695abc95d6d6bdb30c2e5",
          "basis_event_ids": [
            "sha256:2912ccd82cabfc8ebad251d402f987616c9ac8b8347c061546ea311f7948fbeb"
          ],
          "fields": [
            {
              "path": "/title",
              "supporting_event_ids": [
                "sha256:2912ccd82cabfc8ebad251d402f987616c9ac8b8347c061546ea311f7948fbeb"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "editorial"
              ],
              "evidence_proof_kinds": [
                "editorial"
              ],
              "latest_observation_at": "2026-08-01T06:42:55.540Z",
              "freshness": "fresh"
            },
            {
              "path": "/summary",
              "supporting_event_ids": [
                "sha256:2912ccd82cabfc8ebad251d402f987616c9ac8b8347c061546ea311f7948fbeb"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "editorial"
              ],
              "evidence_proof_kinds": [
                "editorial"
              ],
              "latest_observation_at": "2026-08-01T06:42:55.540Z",
              "freshness": "fresh"
            },
            {
              "path": "/lifecycle",
              "supporting_event_ids": [
                "sha256:2912ccd82cabfc8ebad251d402f987616c9ac8b8347c061546ea311f7948fbeb"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-08-01T06:42:55.540Z",
              "freshness": "fresh"
            },
            {
              "path": "/economics",
              "supporting_event_ids": [
                "sha256:2912ccd82cabfc8ebad251d402f987616c9ac8b8347c061546ea311f7948fbeb"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-08-01T06:42:55.540Z",
              "freshness": "fresh"
            },
            {
              "path": "/eligibility",
              "supporting_event_ids": [
                "sha256:2912ccd82cabfc8ebad251d402f987616c9ac8b8347c061546ea311f7948fbeb"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-08-01T06:42:55.540Z",
              "freshness": "fresh"
            },
            {
              "path": "/roles",
              "supporting_event_ids": [
                "sha256:2912ccd82cabfc8ebad251d402f987616c9ac8b8347c061546ea311f7948fbeb"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "derived"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-08-01T06:42:55.540Z",
              "freshness": "fresh"
            },
            {
              "path": "/access",
              "supporting_event_ids": [
                "sha256:2912ccd82cabfc8ebad251d402f987616c9ac8b8347c061546ea311f7948fbeb"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "derived"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-08-01T06:42:55.540Z",
              "freshness": "fresh"
            }
          ]
        }
      }
    ]
  }
}
