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Evidence row 66440

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://api.healthparse.io/v1/manufacturers/search
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
7b54918ff449427a52d88415c600f995b6a9f1f9da075475843fbc5079dce37e
Leaf
0x2d9faf14ad6edb287e346249f2030159859f5e9279818509b37faaf742b400cc

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.healthparse.io/v1/manufacturers/search"
    ]
  ],
  "name": "api.healthparse.io/v1/manufacturers/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": "Discover pharma & device MANUFACTURERS from CMS Open Payments by name, total-spend band, or year of first appearance — the emerging/small-brand filter (low total_spend and/or recent first_seen_year) plus optional specialty/state activity. Answers: which small or new manufacturers pay physicians in my category and territory? Entity-resolved company dimension (DBA/subsidiary variants merged). Filter: name, max_total_spend, first_seen_year_min/max, specialty, state.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "max_total_spend": "example",
              "min_total_spend": "example",
              "name": "example"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "records_notice": "Observational rollup of the CMS Open Payments General Payments file, keyed on the paying manufacturer/GPO...",
              "rows": [
                {
                  "display_name": "Mission Pharmacal Company",
                  "distinct_specialties": 44,
                  "distinct_states": 51,
                  "first_seen_year": 2022,
                  "last_seen_year": 2025,
                  "maker_ids": [
                    "100000000123"
                  ],
                  "manufacturer_key": "MISSION PHARMACAL",
                  "name_variants": [
                    "Mission Pharmacal Company"
                  ],
                  "payment_count": 51233,
                  "physician_engagements": 9021,
                  "record_count": 48120,
                  "top_specialty": "Urology",
                  "top_state": "TX",
                  "total_spend": 842190.55
                }
              ],
              "total_matched": 1
            },
            "type": "json"
          }
        },
        "routeTemplate": "/v1/manufacturers/search",
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "properties": {
                "first_seen_year_max": {
                  "type": "integer"
                },
                "first_seen_year_min": {
                  "description": "manufacturers first appearing in/after this program year",
                  "type": "integer"
                },
                "limit": {
                  "default": 25,
                  "maximum": 100,
                  "type": "integer"
                },
                "max_total_spend": {
                  "description": "only manufacturers whose all-time reported spend is ≤ this (small/emerging)",
                  "type": "number"
                },
                "min_total_spend": {
                  "type": "number"
                },
                "name": {
                  "description": "case-insensitive substring of the manufacturer name",
                  "type": "string"
                },
                "offset": {
                  "default": 0,
                  "type": "integer"
                },
                "performance_year": {
                  "type": "integer"
                },
                "sort": {
                  "description": "total_spend|first_seen_year|physician_engagements|distinct_specialties|display_name, optionally :asc/:desc",
                  "type": "string"
                },
                "specialty": {
                  "description": "Open Payments recipient specialty leaf, e.g. 'Cardiovascular Disease', 'Hematology & Oncology'",
                  "type": "string"
                },
                "state": {
                  "description": "2-letter recipient state code(s), comma-separated",
                  "type": "string"
                }
              },
              "type": "object"
            }
          },
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-21T02:20:41.044Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-21T02:20:40.715Z"
    },
    "resource": "https://api.healthparse.io/v1/manufacturers/search",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Discover pharma & device MANUFACTURERS from CMS Open Payments by name, total-spend band, or year of first appearance — the emerging/small-brand filter (low total_spend and/or recent first_seen_year) plus optional specialty/state activity. Answers: which small or new manufacturers pay physicians in my category and territory? Entity-resolved company dimension (DBA/subsidiary variants merged). Filter: name, max_total_spend, first_seen_year_min/max, specialty, state."
}

What the leaf hashes

{"body":"7b54918ff449427a52d88415c600f995b6a9f1f9da075475843fbc5079dce37e","id":66440,"kind":"listing","method":"baseline/1","observed_us":1793025460571085,"prev":null,"subject":"x402_bazaar:https://api.healthparse.io/v1/manufacturers/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. 0x2d9fd86bc06bdac7a81ec8e4f75f7e356f393980ff513d931acf183e443ef67a
  2. 0x76d8aecd11c601744bf72a2992e2c788c1f411d3482dddfaf427509e4f628f89
  3. 0xed6fba49f0f639591758f23649ee2553f69396021d8916cc8809e7568d2b9640
  4. 0x95734a9284195c0f64f123b10186b2d9f4cf990326254b5dcd9b5dfd4694f3a4
  5. 0x3e317cc45ffe427af31c53929c6253ebc2f1fd5e671ca80a435b9c0450a3b998
  6. 0x9431482af0ad55e85be6328b86b21c5cecf51dee22b2e1df3074bb00f26200d4
  7. 0xc1807a20380a5cc6e6331bf36a3a61fca4c4aa26f061a68c0c2c3616ad59bc92
  8. 0x8498625021a27de3400f88065f86653480c5305c51e6386790a92b8d0cc94b86
  9. 0xe76deb2eca22e53c8cabed975a1c5640eaa41ef8ba40a91b5033439c183e013f
  10. 0xfebc7a0b0bf8746a2821ac5da36e68a391f5528503546c156de64dcfb3f4e54e
  11. 0x0a14d7531a251f3320f61b058ccd68e743331eaf8f3058982b949d68be76670c
  12. 0xf89d9951e0a8e08b9cf11177a1f4e0fd86d9facc5dfecaabbfe564675ebefef7
  13. 0xb87e8b32cda179c9e632e227bbd8a6d1f6f61d9d81bb92dbd4dd835d2b3b5caa
  14. 0x683955a5b2250ad50568d022a6580d8739b6aff1356779d72a773b088e7c289c
  15. 0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213
  16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON