← The evidence ledger
Evidence row 3765887
Observed , by sync.x402_bazaar/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://agentsvc.io/api/v1/proxy/pdf-extract
- Recorded
- Previous row
- #47216
- Body SHA-256
- f427d1566b584ea3aeee589e5aa365c77b48d7f1c00e544e90449cbc0cb8ae7b
- Leaf
- 0x1de416abf46dcd8c3b4555754ecd455a874d389d8e53602568cf0c4957a1a600
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": 8,
"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":"f427d1566b584ea3aeee589e5aa365c77b48d7f1c00e544e90449cbc0cb8ae7b","id":3765887,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793996669656591,"prev":47216,"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 (303443 rows).
- 0x1de41f8f604fe7b6c761209c13c801b9a3f4fa093cdf1998ca6bfeefc49d8182
- 0x863ddbd79670d23fa883bec763c4c08ffff370ae996ca344f52e56a423a2bf5a
- 0x0ac78b673b1639535c61e905f9e2753014e9e787526f0fa168bb8936cc7f5120
- 0xab450edc29d87953611fa4316e23556d624aba8473fb6a6d74547fc27f288358
- 0xfda0390d78f5a0f46ce6f0dd4a69164640deb9a70dc35a78fc5c813919805785
- 0x8cb6dc3260a386eca718fd36b58a223287eefa53727a9008a55f1ddc7590fef4
- 0xeed822da5df9089552e13c392c0126f155cdf53f761a07aac66df5791601f586
- 0x2028f36f613c693911c8ccd4d177dd8e00d25867712d48df3759e2c2174bbeed
- 0x799f02d207b7766b6a50461d66244317747ba4390b2ebe49cebe2e431bb65a1b
- 0x01ed66030f0b64633f872da8ea2a723c28bbb6dc3a397060c393aea475aae7f5
- 0x913e185eb3931cd8e7155cb8142a9b04856dbd53fe889f7dc294116bc801aae7
- 0x7583d8c1ba1fe74d9320288c7431b3aff692946945e2e792bd2891ef6e0cea9f
- 0xad6313ea8c1aaa1c3253abd3203b070e253b49b4d718f335b5b05b375854db89
- 0x81d6ec63cb4df174d42a42d72162141e82dcafa9c256793b20cc12205d8d389c
- 0xb490b9bc961e5cbbfaf890e393a2eb3d2518e080e0a107acd232486f34cf7408
- 0x0aaf291a2ffa2205e7df7531bf36800e377dfbd67208da05b97625f1cc49ce02
- 0xa448dc698494f795f2240c0e7070e8a93eb263baee21ca4185a7d03432a614d8
- 0x119743aadcddb571b28b442b62196d4a0afc4e1c9979c2d477d34fcc9413deaf
- 0xc0d08d48601d1be90bcfc025e66bcaa0030120d688dd9c919b36c2c4446f4948
- Day root
- 0xb30ccefe7182c6f767e1fcbfb5f64ffd649da831f665f65c5ff39cd40512284f
- Chained
- 0xc383f7ef68d2914082484765aa09e42c12c59a74a096ae64127c562618c506d3
- Published
- On Arc Testnet, block 71111178: 0xfba13cb7ee4ada7f2fee3702a786a2201596be2ffea37dfc281ab4c8e9942fe1