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Evidence row 67969

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://api.particle.pro/v1/podcasts/bias/publishers/leaderboard
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
a043b6247f2aa3d9107bf04f74909c6c29eeb3b1c46b0949cae42f0c5f7d829b
Leaf
0xb5c49bf472fbe83b007ebec3b2ad1e3ce949a787a033f2b925cbcbc1ee47a9e9

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.particle.pro/v1/podcasts/bias/publishers/leaderboard"
    ]
  ],
  "name": "Particle Pro",
  "owner_address": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
  "raw": {
    "accepts": [
      {
        "amount": "40000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
        "scheme": "exact"
      }
    ],
    "description": "Rank publishers by political bias metric. Returns a paginated leaderboard ranking publishers by a chosen bias metric: most_left_leaning, most_right_leaning, most_political, most_diverse, most_monolithic, or most_analyzed. min_analyzed_podcasts",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "metric": "most_left_leaning"
            },
            "type": "http"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "cursor": {
                      "description": "Opaque pagination cursor from previous response",
                      "type": "string"
                    },
                    "limit": {
                      "description": "Results per page",
                      "format": "int64",
                      "type": "integer"
                    },
                    "metric": {
                      "description": "Ranking metric. most_left/right_leaning rank by avg_lean_score; most_political by share of political podcasts in the catalog; most_diverse / most_monolithic by stddev of lean across political podcasts; most_analyzed by catalog coverage.",
                      "enum": [
                        "most_left_leaning",
                        "most_right_leaning",
                        "most_political",
                        "most_diverse",
                        "most_monolithic",
                        "most_analyzed"
                      ],
                      "type": "string"
                    },
                    "min_analyzed_podcasts": {
                      "description": "Only rank publishers with at least this many analyzed podcasts. Below the default of 5, aggregate signals are unreliable.",
                      "format": "int64",
                      "type": "integer"
                    },
                    "min_political_podcasts": {
                      "description": "Only rank publishers with at least this many political podcasts. Applied to score and diversity metrics; ignored for coverage metrics.",
                      "format": "int64",
                      "type": "integer"
                    },
                    "political_context": {
                      "description": "Restrict the underlying corpus to a single political framework before aggregating.",
                      "enum": [
                        "US",
                        "UK",
                        "EU",
                        "CANADA",
                        "AUSTRALIA",
                        "INDIA",
                        "OTHER",
                        "UNKNOWN"
                      ],
                      "type": "string"
                    },
                    "since": {
                      "description": "Restrict to analyses evaluated on or after this ISO 8601 date or date-time",
                      "type": "string"
                    },
                    "until": {
                      "description": "Restrict to analyses evaluated strictly before this ISO 8601 date-time. A bare date includes that whole UTC day.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "metric"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-21T02:25:45.659Z",
    "quality": {
      "l30DaysTotalCalls": 5,
      "l30DaysUniquePayers": 3,
      "lastCalledAt": "2026-10-21T02:25:45.333Z"
    },
    "resource": "https://api.particle.pro/v1/podcasts/bias/publishers/leaderboard",
    "serviceName": "Particle Pro",
    "tags": [
      "podcast bias",
      "podcasts",
      "media intelligence",
      "particle pro"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Rank publishers by political bias metric. Returns a paginated leaderboard ranking publishers by a chosen bias metric: most_left_leaning, most_right_leaning, most_political, most_diverse, most_monolithic, or most_analyzed. min_analyzed_podcasts"
}

What the leaf hashes

{"body":"a043b6247f2aa3d9107bf04f74909c6c29eeb3b1c46b0949cae42f0c5f7d829b","id":67969,"kind":"listing","method":"baseline/1","observed_us":1793025465471905,"prev":null,"subject":"x402_bazaar:https://api.particle.pro/v1/podcasts/bias/publishers/leaderboard","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. 0xb5c4ca291628f73539e6646544f8516f5550ca39eed19b191889511d70d1e1d5
  2. 0x4c0fe4602999326b7df582fcb85ec3e8fee6dbdd95fdfef57895462098621fb4
  3. 0x749473a335d7c9fb0c8957585801d0fcb371dd3578d1f010132912180b33b358
  4. 0x4677003dcf8ce52e38d850f300fac97a7797ef0c85b53a7b753466c2c4727863
  5. 0x94e8f5e24864905c021af7d90f861127402f81d20d17a3746c9e58b6f216e766
  6. 0xbd23af1dea8bf5f6c7bd2dea3b1c4cf15614e4ce656ace6b4f64d7b03d4bbeaa
  7. 0x7348c20df888d62b9f2b8af5da24c5293becd900bcc6b3fc75920d2f0c636a0a
  8. 0xa96a1259630d6a381be9b64470d5c008be86aa599249e6467e88fecc99829bc7
  9. 0x77da061a5d997367e300fc37c99e3d47e8ed28eca3771a36e29312d8972845c6
  10. 0xfa2167cea96987427da9b60b2059258d339fc6e57b778e13e60f342a723ebd0f
  11. 0x0f199646652e20987f8f0e4e8bd21993538b0737cd758d5cbc6ebcaaa02763a3
  12. 0x7a0f1751de1946feff7d8c8afc737dcc4d35f110809c15aa0fdb8363a9e31b2b
  13. 0x0d86419ca1dd0b62fd8b22ea2e8c74d441312cec3116a467bea429b43e026565
  14. 0x083427e39db4dd470662401f6db5db8fadf084fc4274cf8621b368416952b78b
  15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
  16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON