Fetch a URL and get it back ready for an LLM or RAG pipeline
Fetch a URL and get it back ready for an LLM or RAG pipeline: clean markdown (headings and links kept), plain text, the title, the page's links and fetch metadata. POST /v1/extract with {url} and optional formats and max_chars. JSON in, JSON out, errors included. Pay per request in USDC; no account, no API key.
Answeringour last check, 2026-09-25
1 of 1checks answered this week
881 msmedian answer time
$0.005listed price per call
$0.005price it asked us
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://agent.pocket.network/v1/agentsearch-web-extract-v1
| Category | Search and research |
|---|---|
| Provider host | agent.pocket.network |
| 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
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-25 | valid payment request | 402 | $0.005 | 881 ms |
Example input (from the provider)
{
"body": {
"url": ""
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"description": "An extraction request. The body is JSON and is bounded by the service at 16 KiB.",
"properties": {
"formats": {
"description": "Which renderings to return. Defaults to the service's own choice.",
"items": {
"enum": [
"markdown",
"text"
],
"type": "string"
},
"type": "array"
},
"max_chars": {
"description": "Cap on returned characters (default 50000).",
"maximum": 100000,
"minimum": 1,
"type": "integer"
},
"url": {
"description": "The page to fetch (http or https).",
"type": "string"
}
},
"required": [
"url"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"data": {
"description": "For POST /v1/extract, a JSON object with request_id, url, title, markdown, text, links (href and text), meta (status_code, content_type, fetched_at, chars, truncated) and error (null on success). A bad request answers 400 with `{ error: { code, message, request_id } }`.",
"type": "object"
},
"portal": {
"properties": {
"provenance": {
"const": "third-party-supplier"
},
"schemaCheck": {
"enum": [
"passed",
"undeclared",
"unchecked"
]
},
"serviceId": {
"const": "agentsearch-web-extract-v1"
}
},
"required": [
"provenance",
"serviceId",
"schemaCheck"
],
"type": "object"
}
},
"required": [
"portal",
"data"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}