read

PDF text extraction — extract text from a public digital PDF into page-numbered JSON for RAG (no OCR).

PDF text extraction — extract text from a public digital PDF into page-numbered JSON for RAG (no OCR). $0.01 USDC Base or Algorand. Caps 20 pages / 5 MiB / 100k chars; source + text SHA-256. No passwords or table reconstruction. Failed extractions not settled.

UNRATEDListed

Overview

Grade?

UNRATED

0 of 30 paid calls toward a letter

Price

$0.01 per call

Paid calls

none yet

delivery unknown until someone pays

More info

Seller?

0x1cfc6489…075f3a80

URL

https://api.agentwork.run/v1/pdf/read

Seen

first 25 days ago · last 17 hr ago

46 free handshakes

Payment

Pays through

x402

Offered on?

algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8=, Base USDC

Listed on?

Base

Score, from free handshakes onlyweights 2026.09.6

UN
RATED

0.716 liveness verified, no letter

To a letter · 30 paid calls

0 of 30

Held down by latency p95 · gap to 1.000 is 0.284: 0.084 uncertain ? + 0.200 short ? · 0.084 to B

How the composite of 0.716 is made up, part by part
Component	Weight	Measured	Lower bound ?		Adds	Short ?	Uncertain ?
latency p95costs the most it answered as fast as its class	0.20	0.00	0.000		0.000	−0.200	0
liveness it answered at all	0.60	1.00	0.860		0.516	0	−0.084
price stability the price stayed where it was listed	0.20	1.00	1.000		0.200	0	0
Composite	1.00		0.716	gap to 1.000 = 0.284 · 0.200 short · 0.084 uncertain	0.716	−0.200	−0.084

Not measured: correctness · nobody paid; honesty · nobody paid; schema conformance · no answer had a published shape to check

The multiplication, written out

  0.200 × 0.000   latency p95    
+ 0.600 × 0.860   liveness       
+ 0.200 × 1.000   price stability
= 0.716           → UNRATED: 44 of 30 paid calls      weights 2026.09.6 · 44 samples · seed cap_01M22B29KK725BEP8CQF2AK34K|2026-09-02T18:27:58.395Z|2026.09.6

Verify it yourselfnpx teppi-check https://api.agentwork.run/v1/pdf/readcurl -s https://api.teppi.xyz/v1/trust/cap_01M22B29KK725BEP8CQF2AK34K