NetIntel Entity Extract API is a paid API for AI agents from netintel.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Extracts named entities (persons, organizations, locations, dates, emails, URLs, money, products, phone numbers) from text and returns a graded structured result
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.
Returns a JSON object with an overall grade (e.g. 'A') and numeric score (0-100), a breakdown of extracted entities grouped by type (person, organization, location, date, email, url, money, product, phone), a list of findings, a total entity count, and the list of entity types that were extracted.
POSThttps://netintel.dev/entity-extractChoose this endpoint when you need a graded, multi-type named entity extraction from free-form text in a single call, especially when you want people, orgs, locations, dates, emails, URLs, money, and products all identified together with a quality score. Prefer this over generic NLP libraries when you need a pay-per-call SaaS solution with no setup, or when building pipelines that need entity richness scoring alongside raw extraction.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"grade": "A",
"score": 100,
"entities": {
"url": [
"https://acme.com"
],
"date": [
"2024-03-15"
],
"email": [
"jane@acme.com"
],
"money": [
"$1.2M"
],
"phone": [],
"person": [
"Jane Doe",
"John Smith"
],
"product": [
"WidgetPro"
],
"location": [
"San Francisco"
],
"organization": [
"Acme Corp"
]
},
"findings": [],
"total_entities": 9,
"types_extracted": [
"person",
"organization",
"location",
"date",
"email",
"url",
"money",
"product",
"phone"
]
}
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