pdf parser, pdf to structured json, pdf page extractor, pdf chunker, pdf RAG ind
pdf parser, pdf to structured json, pdf page extractor, pdf chunker, pdf RAG indexer, pdf document parser. Extract structured text from any PDF URL with page-level chunks and metadata. Returns per-page text array, char counts, info dict (title, author, creator, dates). For AI agents doing document QA, RAG indexing, contract analysis, citation extraction. Accepts payment on Base or Solana — either network works.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
473 msmedian answer time
$0.025listed price per call
$0.025price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://api.x402node.dev/pdf/extract
| Category | Market data |
|---|---|
| Provider host | api.x402node.dev |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 3 from 3 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.025 | 473 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"url": "string"
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"url": {
"description": "Target URL (optional)",
"type": "string"
}
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}