Document to clean markdown for AI agents, $0.05 per file
Document to clean markdown for AI agents, $0.05 per file: PDF, DOCX, XLSX, ODT, ODS, CSV, HTML or XML in, LLM-ready markdown (or plain text) out. One call: send a url or the file as base64 (max 10 MB) — no upload step, no polling. A PDF without a text layer (a scan) returns 400 and you pay nothing; use /doc/ocr for images. USDC on Base, no account, no API key.
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://agentdata-api.sander-van-aard.workers.dev/doc/markdown
| Category | Image and media |
|---|---|
| Provider host | agentdata-api.sander-van-aard.workers.dev |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
We never call tools that send, buy, move money or file anything, not even without paying.
Example input (from the provider)
{
"body": {
"format": "markdown",
"url": "https://example.com/annual-report.pdf"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"headers": {
"additionalProperties": {
"type": "string"
},
"type": "object"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"queryParams": {
"additionalProperties": {
"type": "string"
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}