{
  "contract": "sourcey.site-record/v1alpha1",
  "release_id": "sha256:065756b347c3485c5c9e9abea3d3b91abb57716db23341ccdd58215737ad6d65",
  "snapshot_id": "sha256:033f1a45a8194770df62db79885359937a0009e0c7f40b7c2d3c9aea62c9b447",
  "artifact_sha256": "sha256:6502b892d7170a66a3c238bf5dee59831848615b8f8eda02f240b72ffb76f8ad",
  "data": {
    "entity_id": "ent_01kzv8zammx9jrvxmd8yn18bmv",
    "entity_slug": "flexai",
    "program": {
      "program_id": "prg_01kzv8zampryswkyzsrxcc4sgg",
      "slug": "flexai-startup-program",
      "title": "FlexAI Startup Program",
      "summary": "FlexAI's apply-only startup program combines Token Factory credits and staged discounts for AI-native teams running continuous production inference or agent workloads.",
      "revision_digest": "sha256:4c4b69979a51532089a978d875f893fed4601969bb9b4af625c63fda59a4b56b",
      "provenance": {
        "tier": "observed",
        "freshness": "fresh",
        "dispute": "none",
        "coverage_policy_digest": "sha256:ad047d71e9ec777fe3f9d12e69ce5a567bbac4ca00ef71096415d2c125608a34",
        "freshness_policy_digest": "sha256:f4e31a29c2ce994bb8c3009207294ffa086e82b8e0d695abc95d6d6bdb30c2e5",
        "basis_event_ids": [
          "sha256:3b071e3bb9c3ba75b307641068b8dcac6414a84a991da5eff801de11b919c968"
        ],
        "fields": [
          {
            "path": "/title",
            "supporting_event_ids": [
              "sha256:3b071e3bb9c3ba75b307641068b8dcac6414a84a991da5eff801de11b919c968"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "editorial"
            ],
            "evidence_proof_kinds": [
              "observed"
            ],
            "latest_observation_at": "2026-08-14T02:52:19.651Z",
            "freshness": "fresh"
          }
        ]
      }
    },
    "offer": {
      "program_id": "prg_01kzv8zampryswkyzsrxcc4sgg",
      "offer_id": "off_01kzv8zampj922nj4ne564graj",
      "slug": "startup-credits-and-staged-discounts",
      "title": "FlexAI startup credits and staged discounts",
      "summary": "Approved startups receive $1,000 in Token Factory credit, six months of staged Token Factory discounts, and up to $20,000 in dedicated-compute savings.",
      "economics": {
        "consideration": {
          "kind": "unknown",
          "description": "The public program page does not establish a separate program fee."
        },
        "benefits": [
          {
            "benefit_id": "ben_01",
            "description": "$1,000 in Token Factory credit",
            "kind": "credit",
            "value": {
              "kind": "exact",
              "amount": {
                "currency": "USD",
                "minor_units": 100000
              }
            }
          },
          {
            "benefit_id": "ben_02",
            "description": "50% off the first three months of Token Factory usage after the program credit",
            "kind": "discount",
            "percentage": {
              "kind": "exact",
              "basis_points": 5000
            },
            "applies_to": "First three months of Token Factory usage after the program credit",
            "duration": {
              "kind": "exact",
              "value": "P3M"
            }
          },
          {
            "benefit_id": "ben_03",
            "description": "30% off the next three months of Token Factory usage",
            "kind": "discount",
            "percentage": {
              "kind": "exact",
              "basis_points": 3000
            },
            "applies_to": "Next three months of Token Factory usage",
            "duration": {
              "kind": "exact",
              "value": "P3M"
            }
          },
          {
            "benefit_id": "ben_04",
            "description": "50% off published dedicated-compute and managed fine-tuning prices for six months, up to $20,000 in savings",
            "kind": "discount",
            "percentage": {
              "kind": "exact",
              "basis_points": 5000
            },
            "applies_to": "Published dedicated-compute and managed fine-tuning prices",
            "duration": {
              "kind": "exact",
              "value": "P6M"
            }
          }
        ]
      },
      "eligibility": {
        "rule": {
          "kind": "all",
          "rules": [
            {
              "kind": "any",
              "rules": [
                {
                  "kind": "manual",
                  "criterion_id": "cri_01",
                  "statement": "The applicant has at least $1 million in venture or accelerator backing.",
                  "reason": "external-verification"
                },
                {
                  "kind": "manual",
                  "criterion_id": "cri_02",
                  "statement": "The applicant has a validated production workload.",
                  "reason": "external-verification"
                }
              ]
            },
            {
              "kind": "manual",
              "criterion_id": "cri_03",
              "statement": "The applicant is building an AI-native product where inference is central rather than a side feature.",
              "reason": "external-verification"
            },
            {
              "kind": "manual",
              "criterion_id": "cri_04",
              "statement": "The applicant has at least one ML or AI engineer on staff.",
              "reason": "external-verification"
            },
            {
              "kind": "manual",
              "criterion_id": "cri_05",
              "statement": "The applicant has a continuous inference or agent workload in production rather than a project-based workload.",
              "reason": "external-verification"
            },
            {
              "kind": "manual",
              "criterion_id": "cri_06",
              "statement": "FlexAI reviews and approves the application.",
              "reason": "vendor-discretion"
            }
          ]
        }
      },
      "roles": {
        "terms_authority_entity_id": "ent_01kzv8zammx9jrvxmd8yn18bmv",
        "access_operator_entity_id": "ent_01kzv8zammx9jrvxmd8yn18bmv"
      },
      "access": {
        "availability": "public",
        "method": "form",
        "url": "https://www.flex.ai/startups",
        "instructions": "Book an intro call from the Startup Program page; FlexAI says applications are reviewed within 10 business days."
      },
      "terms_url": "https://www.flex.ai/startups",
      "lifecycle": "active",
      "effective_from": "2026-08-12T15:20:38.000Z",
      "revision_digest": "sha256:03c3dc32003ab8874765e59e0ff67129a47c2af7e27367669f15845e245ed819",
      "provenance": {
        "tier": "observed",
        "freshness": "fresh",
        "dispute": "none",
        "coverage_policy_digest": "sha256:ad047d71e9ec777fe3f9d12e69ce5a567bbac4ca00ef71096415d2c125608a34",
        "freshness_policy_digest": "sha256:f4e31a29c2ce994bb8c3009207294ffa086e82b8e0d695abc95d6d6bdb30c2e5",
        "basis_event_ids": [
          "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
        ],
        "fields": [
          {
            "path": "/title",
            "supporting_event_ids": [
              "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "editorial"
            ],
            "evidence_proof_kinds": [
              "editorial"
            ],
            "latest_observation_at": "2026-08-14T02:52:19.651Z",
            "freshness": "fresh"
          },
          {
            "path": "/summary",
            "supporting_event_ids": [
              "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "editorial"
            ],
            "evidence_proof_kinds": [
              "editorial"
            ],
            "latest_observation_at": "2026-08-14T02:52:19.651Z",
            "freshness": "fresh"
          },
          {
            "path": "/lifecycle",
            "supporting_event_ids": [
              "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed"
            ],
            "evidence_proof_kinds": [
              "observed"
            ],
            "latest_observation_at": "2026-08-14T02:52:19.651Z",
            "freshness": "fresh"
          },
          {
            "path": "/economics",
            "supporting_event_ids": [
              "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed"
            ],
            "evidence_proof_kinds": [
              "observed"
            ],
            "latest_observation_at": "2026-08-14T02:52:19.651Z",
            "freshness": "fresh"
          },
          {
            "path": "/eligibility",
            "supporting_event_ids": [
              "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed"
            ],
            "evidence_proof_kinds": [
              "observed"
            ],
            "latest_observation_at": "2026-08-14T02:52:19.651Z",
            "freshness": "fresh"
          },
          {
            "path": "/roles",
            "supporting_event_ids": [
              "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "derived"
            ],
            "evidence_proof_kinds": [
              "derived",
              "observed"
            ],
            "latest_observation_at": "2026-08-14T02:52:19.651Z",
            "freshness": "fresh"
          },
          {
            "path": "/access",
            "supporting_event_ids": [
              "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "derived"
            ],
            "evidence_proof_kinds": [
              "derived",
              "observed"
            ],
            "latest_observation_at": "2026-08-14T02:52:19.651Z",
            "freshness": "fresh"
          }
        ]
      }
    }
  }
}
