Extract named entities from text using Claude Haiku — people, organizations, loc
Extract named entities from text using Claude Haiku — people, organizations, locations, dates, emails, URLs, money amounts, and products — returned as structured typed arrays so agents can pull structured signals out of unstructured text in one call.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
937 msmedian answer time
$0.05listed price per call
$0.05price 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://netintel.dev/entity-extract
| Category | Commerce and shopping |
|---|---|
| Provider host | netintel.dev |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.05 | 937 ms |
Example input (from the provider)
{
"body": {
"text": "Jane Doe and John Smith from Acme Corp met in San Francisco on 2024-03-15 to discuss WidgetPro. Contact jane@acme.com or visit https://acme.com \u2014 the deal was worth $1.2M."
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"text": {
"description": "The text to extract named entities from \u2014 an article, email, document, or any unstructured text. Max 10000 words or 50KB.",
"type": "string"
},
"types": {
"description": "Optional subset of entity types to extract: person, organization, location, date, email, url, money, product, phone. Defaults to all types.",
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"text"
],
"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": {
"entities": {
"description": "Per-type arrays of unique entity strings as they appear in the text. Only requested types appear when the types param is supplied.",
"type": "object"
},
"findings": {
"description": "Informational findings (e.g. extraction errors)",
"items": {
"type": "object"
},
"type": "array"
},
"grade": {
"description": "Letter grade A-F",
"type": "string"
},
"score": {
"description": "Quality score 0-100",
"type": "number"
},
"total_entities": {
"description": "Total count across all entity arrays",
"type": "number"
},
"types_extracted": {
"description": "The entity types included in this response",
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}