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Evidence row 67971

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://api.particle.pro/v1/podcasts/episodes
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
85a1af3a56fe5820b45413d3367f88bd1f3680f31c82aed70517e7a999cc9432
Leaf
0x0f619230b0ebd2e10c67d3229359055e80da190c8783ccf1f3822d61278b399a

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.particle.pro/v1/podcasts/episodes"
    ]
  ],
  "name": "Particle Pro",
  "owner_address": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
        "scheme": "exact"
      }
    ],
    "description": "List episodes. Returns a paginated list of podcast episodes across all podcasts.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "language": "fr"
            },
            "type": "http"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "company_id": {
                      "description": "Company slug (e.g., 'nvidia'), domain (e.g., 'nvidia.com'), or ID. Resolves to the company's linked entity.",
                      "type": "string"
                    },
                    "cursor": {
                      "description": "Opaque pagination cursor from previous response",
                      "type": "string"
                    },
                    "entity_id": {
                      "description": "Entity or person slug (e.g., 'elon-musk', 'openai') or ID. Returns episodes featuring this entity as a speaker or mentioned entity. A person with no linked entity matches the episodes they speak in. A slug that names both an entity and a person means the entity; pass the person's ID to filter by the person.",
                      "type": "string"
                    },
                    "fully_ingested": {
                      "description": "Only episodes that have reached the terminal ingestion milestone (the highest stage exposed by the episode firehose)",
                      "type": "boolean"
                    },
                    "guest_capacity": {
                      "description": "Only episodes with a guest who knows their field in this capacity, such as executive_founder for founders. It narrows the other filters; an everyday word for a capacity passed as guest_occupation (founders, politicians) lands here too.",
                      "enum": [
                        "researcher",
                        "licensed_professional",
                        "practitioner",
                        "executive_founder",
                        "public_official",
                        "journalist_analyst",
                        "creator_entertainer",
                        "athlete_coach",
                        "clergy",
                        "firsthand",
                        "layperson"
                      ],
                      "type": "string"
                    },
                    "guest_field": {
                      "description": "Only episodes with a guest listed under this ANZSRC 2020 field of research (code, slug, or title).",
                      "type": "string"
                    },
                    "guest_in_field": {
                      "description": "Only episodes with a guest speaking within their field (the guest the other guest_ filters select, when given).",
                      "type": "boolean"
                    },
                    "guest_occupation": {
                      "description": "Only episodes with a guest listed under this SOC 2018 or ISCO-08 occupation (code, slug, or title), including a SOC group or everyday name such as physicians or doctors. A word with no occupation filters by the field of research or capacity it names: oncologists is field 3211, founders is guest_capacity=executive_founder.",
                      "type": "string"
                    },
                    "guest_practicing": {
                      "description": "Only episodes with a guest who still works in guest_occupation, a SOC 2018 occupation or group.",
                      "type": "boolean"
                    },
                    "guest_seniority": {
                      "description": "Only episodes with a guest at this seniority or above.",
                      "enum": [
                        "professional",
                        "senior",
                        "distinguished"
                      ],
                      "type": "string"
                    },
                    "guest_standing": {
                      "description": "Only episodes with a guest whose standing is recognized this way.",
                      "enum": [
                        "established",
                        "self_described",
                        "unverified"
                      ],
                      "type": "string"
                    },
                    "has_transcript": {
                      "description": "Only episodes with completed transcripts",
                      "type": "boolean"
                    },
                    "language": {
                      "description": "Restrict to episodes of podcasts in this language (ISO 639-1 code, e.g. 'fr'). Matches the podcast's primary language subtag, so 'fr' covers 'fr-FR'.",
                      "type": "string"
                    },
                    "limit": {
                      "description": "Results per page",
                      "format": "int64",
                      "type": "integer"
                    },
                    "max_duration": {
                      "description": "Maximum episode duration in seconds",
                      "format": "int64",
                      "type": "integer"
                    },
                    "min_duration": {
                      "description": "Minimum episode duration in seconds",
                      "format": "int64",
                      "type": "integer"
                    },
                    "person_id": {
                      "description": "Person slug (e.g., 'dick-costolo'), knowledge-graph entity slug for the same person, or ID. Returns episodes featuring this person as a speaker — works even when the speaker has no knowledge-graph entity linked. When the value itself matches a knowledge-graph entity slug (corroborated to the same person), the default and 'mention' roles also include episodes that merely mention the person, matching entity_id semantics; pass a speaker role (guest, host, panelist, correspondent) for speaker-only results.",
                      "type": "string"
                    },
                    "podcast_id": {
                      "description": "Podcast slug (e.g., 'all-in'), internal ID, or numeric iTunes ID",
                      "type": "string"
                    },
                    "published_after": {
                      "description": "Deprecated alias of since.",
                      "type": "string"
                    },
                    "published_before": {
                      "description": "Deprecated alias of until.",
                      "type": "string"
                    },
                    "role": {
                      "description": "Entity role filter. Constrains which episodes match the entity_id, person_id, or company_id. 'speaker' matches any speaking role (host, co-host, guest, panelist, correspondent) without including mention-only episodes.",
                      "enum": [
                        "guest",
                        "host",
                        "panelist",
                        "correspondent",
                        "speaker",
                        "mention"
                      ],
                      "type": "string"
                    },
                    "since": {
                      "description": "Only episodes published after this ISO 8601 date or date-time (e.g. 2024-01-01 or 2024-01-01T00:00:00Z)",
                      "type": "string"
                    },
                    "transcript_status": {
                      "description": "Filter by where episodes stand on the way to a transcript. Omitted, the list holds the episodes we have ingested, as it always has. any, untranscribed and requestable also list the podcast's back catalogue — episodes we have discovered in its feed but not transcribed — so they require podcast_id: any lists every discovered episode, untranscribed those without a transcript, requestable back-catalogue episodes whose transcript can be requested. transcribed lists episodes with a transcript, like has_transcript, which it replaces. Back-catalogue episodes carry no speakers, entities or topics, so entity_id, person_id, company_id and fully_ingested leave them out.",
                      "enum": [
                        "any",
                        "transcribed",
                        "untranscribed",
                        "requestable"
                      ],
                      "type": "string"
                    },
                    "until": {
                      "description": "Only episodes published before this ISO 8601 date or date-time (e.g. 2024-01-01 or 2024-01-01T00:00:00Z)",
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-19T11:11:18.57Z",
    "quality": {
      "l30DaysTotalCalls": 4,
      "l30DaysUniquePayers": 3,
      "lastCalledAt": "2026-10-19T11:11:18.175Z"
    },
    "resource": "https://api.particle.pro/v1/podcasts/episodes",
    "serviceName": "Particle Pro",
    "tags": [
      "podcast episodes",
      "podcasts",
      "media intelligence",
      "particle pro"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "List episodes. Returns a paginated list of podcast episodes across all podcasts."
}

What the leaf hashes

{"body":"85a1af3a56fe5820b45413d3367f88bd1f3680f31c82aed70517e7a999cc9432","id":67971,"kind":"listing","method":"baseline/1","observed_us":1793025465474392,"prev":null,"subject":"x402_bazaar:https://api.particle.pro/v1/podcasts/episodes","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. 0x0f612660aae8147b092be45b68fe93a3520991acbeda3ee029d6c0397b255ca8
  2. 0xd0d7dc9eb2ef0251abcff1bf765f47b46ece3046382908fd6a739c6c8a19afef
  3. 0xe50b8be70d47708645fc38141a1ba58d7d28142c6cfe7cdc342b56274b870758
  4. 0xae8d2efb8d30ebb159fbaa3d1af490500aa444b8f967aebd889559de4a07b6ab
  5. 0x9ac5e114ffd4415a4ac53b01675315d4850aa1ee831bf91bd7a4ddcab31ee4fd
  6. 0xcaf92a9099a73a96966427c2cf48679eb24d77f5d4afe8f5280e72b341f71921
  7. 0x4fdf5b87666b595c4583ef7e0b5157d71ef61b75af5557f72ad1dbc377e13d93
  8. 0xe575f797880672f501bb64a690a9a064a92554e133dd555bfd45c810c39c0aaa
  9. 0x6e6b252bf8a087bc1a0e21a556170f195e906fd9b7af4c48235dde22211d84e6
  10. 0x7c17524419b776927e27a1512dd0a7873ae1e25d826c73cb4d7489898b9a9a4e
  11. 0xb8387431db70826417a9bc1c445139bee1e0c5d359e4f9e2d85832f49bafe68b
  12. 0x129649b2ec48fbc611fb055c3f5627bda42692beb65d09e853d75bcda4e06239
  13. 0x294f7935f78a896b5f246a7c9a7ee1b023720acdb03fff3cd549c63479848ec9
  14. 0xb49e8c2564256e5322e375cb619d9ac70fd17c1d1eba9c991bba4cb6428f45cc
  15. 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  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