{
  "contract": "sourcey.site-record/v1alpha1",
  "release_id": "sha256:f94358e3c57b6e575ca58c8031b9b7552cbfdb411f937b8ecdc3b042c4980a77",
  "snapshot_id": "sha256:0679a3f0d41c0733e76d10ab3fb1b331811893c7d428749740ec0f21ac731d3e",
  "artifact_sha256": "sha256:7472396c2449279d33e7a0fb2426f02a89991501262d1db8c04c81d57bdf9021",
  "data": {
    "entity_id": "ent_01m0cp0rahwkw9vy60zpt12b2b",
    "entity_slug": "declaw",
    "program": {
      "program_id": "prg_01m0cp0ram1g91thbx0sgg1qcg",
      "slug": "declaw-for-startups",
      "title": "Declaw for Startups",
      "summary": "Startup program for early-stage AI companies that need a secure runtime for agents handling sensitive data or regulated workloads.",
      "revision_digest": "sha256:66fdb4713fb4fbc7932396cf6051997d0cebe7f4538dd531b01acc8572e3672b",
      "provenance": {
        "tier": "observed",
        "freshness": "fresh",
        "dispute": "none",
        "coverage_policy_digest": "sha256:49acb2dff213e4884a235e832ee2094273959fdeb18d97d1242afb6167222730",
        "freshness_policy_digest": "sha256:00f7f2a35f37b184e57ce2cc116f6a5e3feb4813991aacd7e29e322f2d3607a8",
        "basis_event_ids": [
          "sha256:b52eda1e78a9555a46a9d3c550b68361fe510e0325698c4622b1a92fb2e4a083"
        ],
        "fields": [
          {
            "path": "/title",
            "supporting_event_ids": [
              "sha256:b52eda1e78a9555a46a9d3c550b68361fe510e0325698c4622b1a92fb2e4a083"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "editorial"
            ],
            "evidence_proof_kinds": [
              "editorial"
            ],
            "latest_observation_at": "2026-08-20T05:49:55.797Z",
            "freshness": "fresh"
          }
        ]
      }
    },
    "offer": {
      "program_id": "prg_01m0cp0ram1g91thbx0sgg1qcg",
      "offer_id": "off_01m0cp0ramjbdfv6v1c04c94wr",
      "slug": "ten-thousand-dollar-startup-credits",
      "title": "$10,000 in Declaw credits for six months",
      "summary": "Accepted early-stage AI startups receive $10,000 in Declaw credits for compute and guardrails inference, valid for six months from activation.",
      "description": "Credits cover compute and guardrails inference. Standard pricing applies after the credits are exhausted.",
      "economics": {
        "consideration": {
          "kind": "variable",
          "description": "Applicants agree to allow Declaw to use their company logo and publish anonymized aggregate account metrics, and may be contacted about a case study or testimonial after 60 days of active use."
        },
        "benefits": [
          {
            "benefit_id": "ben_01",
            "description": "$10,000 in Declaw credits for compute and guardrails inference, valid for six months from activation.",
            "kind": "credit",
            "value": {
              "kind": "exact",
              "amount": {
                "currency": "USD",
                "minor_units": 1000000
              }
            },
            "duration": {
              "kind": "exact",
              "value": "P6M"
            }
          }
        ]
      },
      "eligibility": {
        "rule": {
          "kind": "manual",
          "criterion_id": "cri_01",
          "statement": "Applicant must be an early-stage AI startup and be accepted by Declaw through its application review.",
          "reason": "vendor-discretion"
        }
      },
      "roles": {
        "terms_authority_entity_id": "ent_01m0cp0rahwkw9vy60zpt12b2b",
        "access_operator_entity_id": "ent_01m0cp0rahwkw9vy60zpt12b2b"
      },
      "access": {
        "availability": "public",
        "method": "form",
        "url": "https://www.declaw.ai/startups"
      },
      "lifecycle": "active",
      "effective_from": "2026-08-19T09:36:12.000Z",
      "revision_digest": "sha256:dd66d746768057df1269da929769c67c4bb105fc41613084a0d24bf6fb044591",
      "provenance": {
        "tier": "observed",
        "freshness": "fresh",
        "dispute": "none",
        "coverage_policy_digest": "sha256:49acb2dff213e4884a235e832ee2094273959fdeb18d97d1242afb6167222730",
        "freshness_policy_digest": "sha256:00f7f2a35f37b184e57ce2cc116f6a5e3feb4813991aacd7e29e322f2d3607a8",
        "basis_event_ids": [
          "sha256:cbe49e7e94c3f31807b6838600bf667de8254674f08c57d9425ce6deb5d1369b"
        ],
        "fields": [
          {
            "path": "/title",
            "supporting_event_ids": [
              "sha256:cbe49e7e94c3f31807b6838600bf667de8254674f08c57d9425ce6deb5d1369b"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "editorial",
              "attested"
            ],
            "evidence_proof_kinds": [
              "editorial"
            ],
            "latest_observation_at": "2026-08-20T05:49:55.797Z",
            "freshness": "fresh"
          },
          {
            "path": "/summary",
            "supporting_event_ids": [
              "sha256:cbe49e7e94c3f31807b6838600bf667de8254674f08c57d9425ce6deb5d1369b"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "editorial",
              "attested"
            ],
            "evidence_proof_kinds": [
              "editorial"
            ],
            "latest_observation_at": "2026-08-20T05:49:55.797Z",
            "freshness": "fresh"
          },
          {
            "path": "/lifecycle",
            "supporting_event_ids": [
              "sha256:cbe49e7e94c3f31807b6838600bf667de8254674f08c57d9425ce6deb5d1369b"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "attested"
            ],
            "evidence_proof_kinds": [
              "observed"
            ],
            "latest_observation_at": "2026-08-20T05:49:55.797Z",
            "freshness": "fresh"
          },
          {
            "path": "/economics",
            "supporting_event_ids": [
              "sha256:cbe49e7e94c3f31807b6838600bf667de8254674f08c57d9425ce6deb5d1369b"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "attested"
            ],
            "evidence_proof_kinds": [
              "observed"
            ],
            "latest_observation_at": "2026-08-20T05:49:55.797Z",
            "freshness": "fresh"
          },
          {
            "path": "/eligibility",
            "supporting_event_ids": [
              "sha256:cbe49e7e94c3f31807b6838600bf667de8254674f08c57d9425ce6deb5d1369b"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "attested"
            ],
            "evidence_proof_kinds": [
              "observed"
            ],
            "latest_observation_at": "2026-08-20T05:49:55.797Z",
            "freshness": "fresh"
          },
          {
            "path": "/roles",
            "supporting_event_ids": [
              "sha256:cbe49e7e94c3f31807b6838600bf667de8254674f08c57d9425ce6deb5d1369b"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "derived",
              "attested"
            ],
            "evidence_proof_kinds": [
              "derived",
              "observed"
            ],
            "latest_observation_at": "2026-08-20T05:49:55.797Z",
            "freshness": "fresh"
          },
          {
            "path": "/access",
            "supporting_event_ids": [
              "sha256:cbe49e7e94c3f31807b6838600bf667de8254674f08c57d9425ce6deb5d1369b"
            ],
            "contradicting_event_ids": [],
            "accepted_proof_kinds": [
              "observed",
              "derived",
              "attested"
            ],
            "evidence_proof_kinds": [
              "observed"
            ],
            "latest_observation_at": "2026-08-20T05:49:55.797Z",
            "freshness": "fresh"
          }
        ]
      }
    }
  }
}
