Evidence row 3968549

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://agentsvc.io/api/v1/proxy/pdf-extract"
    ]
  ],
  "name": "PDF Text Extraction",
  "owner_address": "0x622efa6ceb83a5b6edbc931332f4db68b7f74f27",
  "raw": {
    "accepts": [
      {
        "amount": "5500",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
        "scheme": "exact"
      },
      {
        "amount": "5500",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "5JzPS5qpEwUM1vTC9GG7uqvwJdHzbEwfoPHf2Ki977tg",
        "scheme": "exact"
      },
      {
        "amount": "5500",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
        "scheme": "exact"
      },
      {
        "amount": "5500",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:42161",
        "payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
        "scheme": "exact"
      }
    ],
    "description": "Extract all text from a PDF. Send as pdf_base64 (base64-encoded PDF, max ~10 MB decoded). Returns text (full concatenated text), pages array (per-page text + char_count), page_count, and metadata (title, author, creator). Encode with: Buffer.from(pdfBytes).toString('base64'). Ideal for RAG pipelines, document QA, or LLM ingestion.",
    "extensions": {
      "bazaar": {
        "category": "text",
        "info": {
          "input": {
            "body": {
              "max_pages": 10,
              "pdf_base64": "<base64 of a PDF>"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "data": {
                "extracted_at": "2026-04-10T14:00:00.000Z",
                "file_size_bytes": 245760,
                "metadata": {
                  "author": "Finance Department",
                  "creator": "Adobe Acrobat",
                  "title": "Q1 2026 Financial Report"
                },
                "page_count": 12,
                "pages": [
                  {
                    "char_count": 54,
                    "page": 1,
                    "text": "Quarterly Financial Report Q1 2026\n\nExecutive Summary"
                  },
                  {
                    "char_count": 58,
                    "page": 2,
                    "text": "Table of Contents\n1. Revenue Overview\n2. Cost Analysis"
                  }
                ],
                "text": "Quarterly Financial Report Q1 2026\n\nExecutive Summary\nTotal revenue increased by 23% year-over-year..."
              },
              "success": true
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "max_pages": {
                      "default": 50,
                      "description": "Maximum number of pages to extract. Default: 50. Use to limit processing time for large PDFs.",
                      "type": "integer"
                    },
                    "pdf_base64": {
                      "description": "Base64-encoded PDF file content. Decode a PDF file to base64 and pass it here. Max ~10 MB (unencoded).",
                      "type": "string"
                    }
                  },
                  "required": [
                    "pdf_base64"
                  ]
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST",
                    "PUT",
                    "PATCH"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "data": {
                      "properties": {
                        "extracted_at": {
                          "description": "ISO 8601 timestamp of extraction",
                          "format": "date-time",
                          "type": "string"
                        },
                        "file_size_bytes": {
                          "description": "Size of the decoded PDF in bytes",
                          "type": "integer"
                        },
                        "metadata": {
                          "description": "PDF document metadata (if available)",
                          "properties": {
                            "author": {
                              "type": "string"
                            },
                            "creation_date": {
                              "type": "string"
                            },
                            "creator": {
                              "type": "string"
                            },
                            "producer": {
                              "type": "string"
                            },
                            "subject": {
                              "type": "string"
                            },
                            "title": {
                              "type": "string"
                            }
                          },
                          "type": "object"
                        },
                        "page_count": {
                          "description": "Total number of pages in the PDF",
                          "type": "integer"
                        },
                        "pages": {
                          "description": "Per-page text content (first max_pages pages)",
                          "items": {
                            "properties": {
                              "char_count": {
                                "description": "Number of characters on this page",
                                "type": "integer"
                              },
                              "page": {
                                "description": "Page number (1-based)",
                                "type": "integer"
                              },
                              "text": {
                                "description": "Extracted text for this page",
                                "type": "string"
                              }
                            },
                            "type": "object"
                          },
                          "type": "array"
                        },
                        "text": {
                          "description": "Full extracted text from all pages, joined with newlines. Preserves paragraph structure where possible.",
                          "type": "string"
                        }
                      },
                      "required": [
                        "text",
                        "page_count",
                        "extracted_at"
                      ],
                      "type": "object"
                    },
                    "success": {
                      "type": "boolean"
                    }
                  },
                  "required": [
                    "success",
                    "data"
                  ],
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        },
        "tags": [
          "pdf-to-text",
          "pdf-parsing",
          "pdf",
          "text",
          "extract",
          "parse",
          "document",
          "ocr",
          "rag",
          "llm"
        ]
      },
      "builder-code": {
        "info": {
          "a": "bc_q6wi3opd"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1791462963/bazaar-icons/243ff0b79dbee242.png",
    "lastUpdated": "2026-10-26T04:11:47.899Z",
    "quality": {
      "l30DaysTotalCalls": 5,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-26T04:11:47.689Z"
    },
    "resource": "https://agentsvc.io/api/v1/proxy/pdf-extract",
    "serviceName": "PDF Text Extraction",
    "tags": [
      "pdf-to-text",
      "pdf-parsing",
      "pdf",
      "text",
      "extract"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Extract all text from a PDF. Send as pdf_base64 (base64-encoded PDF, max ~10 MB decoded). Returns text (full concatenated text), pages array (per-page text + char_count), page_count, and metadata (title, author, creator). Encode with: Buffer.from(pdfBytes).toString('base64'). Ideal for RAG pipelines, document QA, or LLM ingestion."
}

What the leaf hashes

{"body":"0138524fbc566b94eab621e132455a38298449f009089ea3f1c96d7f532525bf","id":3968549,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1794083507538404,"prev":3765887,"subject":"x402_bazaar:https://agentsvc.io/api/v1/proxy/pdf-extract","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-11-07 (195826 rows).

1. 0xf8b964429c5b1677d0e8a9dc54bfeecb7b6d53cd91e3732cd3d5e2a8e7ad7945
2. 0x443f3e9cf0422af8d4994b9feb907a53c2bcb961313e8afff33c920e1f62a96a
3. 0xcfcfe826826400ec499054093af168f92ba3542724c21f2bc8fece56a95709af
4. 0xe21ddf5d2f219b801d793157b3c391bac39e53656a4dfa10de334c270b8d9f70
5. 0xdc162753ce0c525c43b963b18c0e0c94bd05a79b05aea279507fec9014e3b1b6
6. 0x9ca580a7c2b9284679db93d112db5df89b1e900e1716cd0c14cbe720c12042fc
7. 0x9761a5f44e9284ab937206dce6d1c941c77b5fcdd8f7c2e333020806606f51e2
8. 0xff04c130b1766bc45b57d83fb0acfd934061d0d3ba0a8319ec4d54d3082cf5ae
9. 0xd0a0e488ccef62463779510ee2892a08575531121ddf5a475fdadaed6624c6c2
10. 0xc8531cb8b6081557d2b82a1747638da9cd45a3719515c14d978948bdb8ee8781
11. 0x7cb068608ce356c56b952991bf7213d131920a5a6364972fa78af58bf37822cd
12. 0x56e817096df4de4739e74dab9761047ab97b2c55fdad1ba48d7081a0779ea668
13. 0xf890041dab1a6045b3a87d27ce06c7bb38a0ea4dc1deb01cfdbb7c23a11ad1b1
14. 0x2f1bda65dd8929924c1dad6e9e29ab36a1b8cb4eed65c97434b87bf8d5cca017
15. 0xb6dc07358d0932b83c713d4c82df6764849db6e58ee1c7cbc06d03f381a6b36b
16. 0xbb3be27e5da5ccad91ce4674c6eac53275c0832f3885b89533d2be65d38f2fc6
17. 0x9ea7c2ecc6985da4b761b0f9096b7858b3ac8e3e47717c3840537fb2ff31c6df

Day root

0x17da9e85e1b138541355d33543ff34e3503cd3a49d37728fb53643e2a0416a2d

Chained

0xed34bd4af17282643de8cb9591c84d0aa1b39e1e9ae9864941e543f5a15718cb

Published

On Arc Testnet, block 71280839: 0xc3f6784179e0ca32236ba89472473e882a81d03fcc5ce27ca58ded2e01e112aa