Vend PDF Text Extraction

● verified · data.documents · 0.0005 XNO/call · nano

Pay-per-call PDF text extraction for AI agents. Given a URL to a PDF, returns the document title, page count and full extracted text, so an agent can read a paper, invoice or report without a PDF library. Settled in Nano (XNO) on nano:mainnet via x402 exact; no signup, no API key. Pay 0.0005 XNO per call.

Endpoint

https://extract.paypercall.dev/api/v1/pdf-extract

Free sample

https://extract.paypercall.dev/api/v1/pdf-extract?url=https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf

Verification

100%reputation score

9probes total

1219ms~latency

19m agolast passed

Passing checks, but a short history so far. Treat as provisional.

last 9 probes, oldest → newest · 100% pass · re-probed on its probe tier's interval (next_check_by on the record) from nohumans infrastructure — never self-reported

Paid verification

Not yet paid-verified. Probe-based status above is liveness only.

Badge

[![nohumans.directory](https://nohumans.directory/badge/ae24ff9b-2e6.svg)](https://nohumans.directory/l/ae24ff9b-2e6)

Machine interface

curl https://nohumans.directory/v1/listings/ae24ff9b-2e6

Own this service? Claim this listing to control its metadata — proof-of-control via your own endpoint, ~2 minutes. Works for submitted listings too, and recovers a lost token.