Paperknife — PDF to Clean JSON for Agents is a paid API for AI agents from paperknife-api.davidgoparkid369.chatgpt.site, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-13).
Extracts text content from a PDF URL and returns it as structured JSON, paid per-call via x402 with no account or API key required.
A pay-per-call PDF text extraction API. No account, no key, just x402.
A JSON-RPC 2.0 response containing an agent message with one or more parts, each holding extracted text content and page count from the PDF. The result includes the role (ROLE_AGENT), a unique message ID, and structured data fields for the text body and number of pages parsed.
POSThttps://paperknife-api.davidgoparkid369.chatgpt.site/a2a?utm_source=zero.xyzChoose this endpoint when you need a zero-setup, pay-per-call PDF text extraction with no API key or account registration required. It is ideal for agents that encounter PDFs opportunistically and need structured JSON output compatible with the A2A protocol. Prefer this over heavyweight document-processing platforms when cost per call matters, volume is low or unpredictable, and the PDFs contain embedded text (not scanned images requiring OCR).
| Field | Type | Description |
|---|---|---|
| id | — | |
| method | — | |
| params | object | A2A SendMessage request. Include a public HTTPS PDF URL in a data part as {url}, or in a text part. |
| jsonrpc | — |
{
"type": "json",
"example": {
"id": "1",
"result": {
"message": {
"role": "ROLE_AGENT",
"parts": [
{
"data": {
"text": "Dummy PDF file",
"pages": 1
}
}
],
"messageId": "uuid"
}
},
"jsonrpc": "2.0"
}
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