Full text and open-access PDF retrieval for a paper
Full text and open-access PDF retrieval for a paper. Given an arXiv id, DOI, OpenAlex id, PMID, or PMCID, returns the readable body split into sections (introduction, methods, results) plus the open-access PDF location: arXiv via ar5iv, biomedical via Europe PMC, OA locations via OpenAlex for the rest. The 'now read it' call after a paper search. Keyless.
40000 (raw units)
price
17
calls / 30d
2
unique payers
2026-09-15
updated
Provider
api.kadec0.xyz · discovered, not yet claimed by its owner
Payment (x402 accepts[])
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0x4df66B6c140778fe0717880A7c6dDE5Ea53AcDeA",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "40000",
"maxTimeoutSeconds": 300
}
]Output schema
{
"bazaar": {
"info": {
"input": {
"method": "GET",
"queryParams": {
"id": "1706.03762"
},
"type": "http"
},
"output": {
"example": {
"count": 1,
"items": [
{
"arxivId": "1706.03762",
"fulltextSource": "ar5iv",
"openAccess": true,
"sections": [
{
"heading": "1 Introduction",
"text": "Recurrent neural networks, long short-term memory..."
}
],
"sourceUrl": "https://ar5iv.labs.arxiv.org/html/1706.03762",
"text": "1 Introduction\nRecurrent neural networks...",
"type": "paper_fulltext"
}
]
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string"
},
"queryParams": {
"anyOf": [
{
"required": [
"id"
]
},
{
"required": [
"doi"
]
}
],
"properties": {
"doi": {
"description": "alias for id (DOI form)",
"type": "string"
},
"id": {
"description": "arXiv id, DOI, OpenAlex id, PMID, or PMCID",
"type": "string"
}
},
"required": [],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
}Use it
curl
curl "https://api.kadec0.xyz/v1/paper-fulltext" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://api.kadec0.xyz/v1/paper-fulltext");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://api.kadec0.xyz/v1/paper-fulltext")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/330.json, and this resource appears in /discovery/resources and /discovery/search.