Extract named fields from unstructured text into strict JSON
Extract named fields from unstructured text into strict JSON. Use when an agent must turn an email, filing, invoice, or description into {field: value} records up to 4,000 characters.
Not tested: has real-world effectsour last check, 2026-10-11
0 of 0checks answered this week
n/amedian answer time
$0.001listed price per call
n/aprice 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://automaton-paid2.sharkquant.ai/v1/extract
| Category | Search and research |
|---|---|
| Provider host | automaton-paid2.sharkquant.ai |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 253 from 2 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": {
"fields": [
"vendor",
"date",
"amount"
],
"text": "Invoice from Acme Corp dated 2026-09-14 for $1,250.00, due in 30 days."
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"fields": {
"description": "Field names to extract",
"items": {
"maxLength": 40,
"type": "string"
},
"maxItems": 8,
"minItems": 1,
"type": "array"
},
"text": {
"description": "Unstructured text to extract from",
"maxLength": 4000,
"minLength": 1,
"type": "string"
}
},
"required": [
"text",
"fields"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"extracted": {
"type": "object"
},
"model": {
"type": "string"
},
"timestamp": {
"type": "string"
}
},
"required": [
"extracted",
"model",
"timestamp"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}