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Evidence row 66444

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://api.healthparse.io/v1/prescribers/part-d/by-drug/search
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
acb0a43e3c9642a9e75ffaec60c2574a2f260e37cd0a0a368660f469416614f8
Leaf
0x999d0ba3c07318462e5bf8b6faa7544754f53535561e0ee2186125a7cf5abe13

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.healthparse.io/v1/prescribers/part-d/by-drug/search"
    ]
  ],
  "name": "api.healthparse.io/v1/prescribers/part-d/by-drug/search",
  "owner_address": "0x177ea123a35253ba8869a7e21e717978e482351d",
  "raw": {
    "accepts": [
      {
        "amount": "30000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x177eA123A35253ba8869A7e21E717978e482351D",
        "scheme": "exact"
      }
    ],
    "description": "Find Medicare Part D prescribers of a specific DRUG or therapeutic CLASS at NPI level — the core pharma targeting query. Filter by drug_class (GLP-1, SGLT2, DPP-4, Statin, from partd_drug_class) or a single drug (brand or generic, e.g. 'Ozempic'), plus specialty, state, min_claims, min_beneficiaries, year. Each hit carries the drug's claim/cost volume and the prescriber's specialty/state/city. Public CMS provider-level data; not a consumer report.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "brand_name": "example",
              "drug": "example",
              "drug_class": "example"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "performance_year": 2024,
              "records_notice": "Observational roster of Medicare Part D prescribers for the requested drug or therapeutic class, as published in the CMS 'by Provider and Drug' public file. One row per (NPI × drug) for the performance year; total_beneficiaries is null where CMS suppressed a count below 11. prescriber_specialty/state/city are the values filed on the CMS record. Provider-level program data — not a consumer report, and not for FCRA-regulated eligibility decisions.",
              "rows": [
                {
                  "brand_name": "Ozempic",
                  "generic_name": "Semaglutide",
                  "npi": "1234567890",
                  "performance_year": 2024,
                  "prescriber_city": "Houston",
                  "prescriber_specialty": "Endocrinology",
                  "prescriber_state": "TX",
                  "total_30day_fills": 618.4,
                  "total_beneficiaries": 88,
                  "total_claims": 512,
                  "total_drug_cost": 512340.11
                }
              ],
              "selectors": [
                "drug_class=GLP-1"
              ],
              "total_matched": 1
            },
            "type": "json"
          }
        },
        "routeTemplate": "/v1/prescribers/part-d/by-drug/search",
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "properties": {
                "brand_name": {
                  "description": "CMS brand-name prefix (case-insensitive), e.g. 'Eliquis'",
                  "type": "string"
                },
                "drug": {
                  "description": "a single drug, brand or generic (e.g. 'Ozempic' or 'Semaglutide'); brands resolve to the canonical generic",
                  "type": "string"
                },
                "drug_class": {
                  "description": "therapeutic class from partd_drug_class, e.g. 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin'",
                  "type": "string"
                },
                "generic_name": {
                  "description": "CMS generic-name prefix (case-insensitive), e.g. 'Apixaban'",
                  "type": "string"
                },
                "limit": {
                  "default": 25,
                  "maximum": 100,
                  "type": "integer"
                },
                "min_beneficiaries": {
                  "description": "minimum total beneficiaries (null/suppressed rows excluded)",
                  "type": "integer"
                },
                "min_claims": {
                  "description": "minimum total Part D claims for the drug (that year)",
                  "type": "integer"
                },
                "offset": {
                  "default": 0,
                  "type": "integer"
                },
                "specialty": {
                  "description": "prescriber specialty substring, e.g. 'Endocrinology'",
                  "type": "string"
                },
                "state": {
                  "description": "2-letter prescriber state code(s), comma-separated",
                  "type": "string"
                },
                "year": {
                  "description": "performance year (loaded: 2023, 2024; default 2024)",
                  "type": "integer"
                }
              },
              "type": "object"
            }
          },
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-21T05:04:12.525Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-21T05:04:12.111Z"
    },
    "resource": "https://api.healthparse.io/v1/prescribers/part-d/by-drug/search",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Find Medicare Part D prescribers of a specific DRUG or therapeutic CLASS at NPI level — the core pharma targeting query. Filter by drug_class (GLP-1, SGLT2, DPP-4, Statin, from partd_drug_class) or a single drug (brand or generic, e.g. 'Ozempic'), plus specialty, state, min_claims, min_beneficiaries, year. Each hit carries the drug's claim/cost volume and the prescriber's specialty/state/city. Public CMS provider-level data; not a consumer report."
}

What the leaf hashes

{"body":"acb0a43e3c9642a9e75ffaec60c2574a2f260e37cd0a0a368660f469416614f8","id":66444,"kind":"listing","method":"baseline/1","observed_us":1793025460576760,"prev":null,"subject":"x402_bazaar:https://api.healthparse.io/v1/prescribers/part-d/by-drug/search","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0x999d1333551367a2e8f13653045c6246662aa5320dba9b2fff7c1ed6e3481364
  2. 0xc36dcbf374b20cb70de2a42016a86ad035938d70df2c33d4061c505a7a20d5b5
  3. 0x189db13bca554e6f3f88a11ec8fdab660226c89cfc048f179a59ed84fe21c0cb
  4. 0xb6d6c9b1dedd5dad704e4a8688fc7c71e8185fdf3812e28d7c7cad8607999f28
  5. 0xd17925a70e5b85b83a2fc41c5c0733fc65040b4197f99caab046802544e82bd8
  6. 0x02acb5fa8875a2dba21104d5df7445c2987314ecda3a728a865419ea106730e2
  7. 0xbdc73b9f26adb0822990d97fcc71ec21062d73f884722b6fec101748ddcb2d46
  8. 0x6afb2a7b37051c7066ab81fe9d854cc079e947da05f0752eaa011d73815ec9a0
  9. 0x5cd557482ddfdc2785a3cde6388feeb9d3e9d32fbba85bf0a5de3ec63007395f
  10. 0x2902a29ff231b32ccac2765997f18f1504daedb7f97ee4f0577f4a8edf0e7293
  11. 0xd3f19437d703373e99e0bf69c4ca06561426260f599f7d259e3257085a387573
  12. 0x6ae9e6ee1b544d831982666bd3570457659e78fc0064894d7ec23f971a37ff2f
  13. 0x239fd39716710e7412bd120c373072b4c0d8b11bb9ee431dad62a2ce57b3d6f4
  14. 0x49062da782c4f73855ddd5fdd51840749f928b5f17d1ce75ac50f2d829104e72
  15. 0xf0bd63870f0bb378fa300bd33563050dcb7b3e02b44eb3ee550c1c534ec4b246
  16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON