# AGISHub Named Entity Extraction

> AGISHub Named Entity Extraction is a paid API for AI agents from api.agishub.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).

Extracts named entities (people, organizations, locations, dates, and miscellaneous) from a given text and returns them as structured JSON.

## Facts

- Endpoint: GET https://api.agishub.com/v1/extract
- Price: $0.02/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agishub-named-entity-extraction-c83186bd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HTxc6vEuKpiF5Wtx_oMTL

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability agishub-named-entity-extraction-c83186bd
```

Example prompt: Can you pull out all the named entities — people, organizations, locations, and dates — from this text: 'Apple CEO Tim Cook met with French President Emmanuel Macron in Paris on June 10, 2024 to discuss AI regulation.'

## When to prefer this

Choose this endpoint when you need fast, structured named entity recognition (NER) over arbitrary text and want results categorized into people, organizations, locations, dates, and miscellaneous — especially in agentic pipelines where a pay-per-call model is preferred over running a self-hosted NLP model. It is a good fit for document enrichment, news analysis, and content tagging use cases.

## Known failure modes

- Empty or whitespace-only text input returns an error or empty entity list
- Very short text with no proper nouns may return empty results
- Ambiguous entity types may be miscategorized (e.g. a person's name mistaken for a location)
- Non-English text may produce lower-quality or incomplete extraction
- Rate limiting or payment failure returns a 402 error

## How this service works

Extract named entities from text — people, organizations, locations, dates and miscellaneous — returned as structured JSON.

## Output

A structured JSON object containing named entities grouped by category — people, organizations, locations, dates, and miscellaneous — extracted from the input text.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input",
  "output"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method",
    "queryParams"
   ],
   "properties": {
    "type": {
     "enum": [
      "http"
     ],
     "type": "string"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "text"
     ],
     "properties": {
      "text": {
       "type": "string",
       "minLength": 1,
       "description": "The text to extract named entities from."
      }
     },
     "additionalProperties": false
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type",
    "example"
   ],
   "properties": {
    "type": {
     "enum": [
      "json"
     ],
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   },
   "additionalProperties": false
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "result": "Extract named entities from text — people, organizations, locations, dates and miscellaneous — returned as structured JS"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agishub-named-entity-extraction-c83186bd/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.agishub.com](https://www.zero.xyz/host/api.agishub.com/llms.txt)