# 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 2026-09-14).

Extracts named entities (people, organizations, locations, dates, and miscellaneous) from a text string, returning structured JSON.

## Facts

- Endpoint: POST https://api.agishub.com/paid/extract
- Price: $0.02/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agishub-named-entity-extraction-ba47a0f1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_A00joSWvU_ZiPctlh4N2X

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-ba47a0f1 -d '<json body>'
```

Example prompt: Pull out all the named entities — people, organizations, locations, and dates — from this text: 'On March 5, Elon Musk announced that Tesla would open a new factory in Austin, Texas, partnering with the University of Texas.'

## When to prefer this

Choose this endpoint when you need fast, structured NER from unstructured text without setting up your own NLP pipeline. It's ideal for enriching data records, tagging content, or preprocessing text before downstream analysis. Best for single-document or real-time extraction use cases at low cost ($0.02/call).

## Known failure modes

- Empty or whitespace-only text input returns an error (minLength:1 enforced)
- Very short or ambiguous text may yield zero entities or incorrect classifications
- Text in unsupported or rare languages may produce low-quality or missing extractions
- Extremely long text inputs may time out or be truncated
- Ambiguous references (e.g., 'Apple' as fruit vs company) may be misclassified

## 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 categorized named entities found in the input text, organized by entity type: persons, organizations, locations, dates, and miscellaneous entities.

## 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",
    "bodyType",
    "body"
   ],
   "properties": {
    "body": {
     "type": "object",
     "required": [
      "text"
     ],
     "properties": {
      "text": {
       "type": "string",
       "minLength": 1,
       "description": "The text to extract named entities from."
      }
     },
     "additionalProperties": false
    },
    "type": {
     "enum": [
      "http"
     ],
     "type": "string"
    },
    "method": {
     "enum": [
      "POST"
     ],
     "type": "string"
    },
    "bodyType": {
     "enum": [
      "json"
     ],
     "type": "string"
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type",
    "example"
   ],
   "properties": {
    "type": {
     "enum": [
      "json"
     ],
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   },
   "additionalProperties": false
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agishub-named-entity-extraction-ba47a0f1/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)