# AllTheBot Keywords & Entities Extractor

> AllTheBot Keywords & Entities Extractor is a paid API for AI agents from velux.taild4d007.ts.net:8443, paid per call via x402, $0.007/call, status unknown (last checked 2026-10-10).

Extracts named entities (people, organizations, locations, etc.) and keywords from a block of text using AI

## Facts

- Endpoint: GET https://velux.taild4d007.ts.net:8443/x402/entities?utm_source=zero.xyz
- Price: $0.007/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-10
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/allthebot-keywords-entities-extractor-27a81afc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_W5wfgECgV_Dp_4CStPkpD

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 allthebot-keywords-entities-extractor-27a81afc
```

Example prompt: Pull all named entities and keywords from this text: 'Airbus and Boeing announced a joint venture in Seattle last Monday, according to CEO Guillaume Faury.'

## When to prefer this

Choose this endpoint when you need to extract structured named entities (with type labels) and keywords from unstructured text in a single low-cost call ($0.007 USDC), without needing an API key or account setup. Ideal for agents that process news, documents, or user-generated content and need to identify key actors, organizations, or topics on-demand. Prefer over heavier NLP pipelines when speed, cost, and zero-setup are priorities.

## Known failure modes

- Text exceeds 6000 character limit — request rejected or truncated
- Ambiguous or very short text may yield empty entities and keywords arrays
- Payment failure in USDC on Base will result in 402 error before processing
- Non-English or mixed-language text may produce lower-quality entity recognition
- Highly domain-specific jargon may not be recognized as named entities

## How this service works

Keyword extraction and named entity recognition (NER): people, organizations, locations, dates, money, products. Any language, JSON output.

## Output

A JSON object with two fields: 'entities' (an array of objects each containing 'text' and 'type' such as organization, person, or location) and 'keywords' (an array of keyword strings found in the input text).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "text"
     ],
     "properties": {
      "text": {
       "type": "string",
       "maxLength": 6000
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object",
     "properties": {
      "result": {
       "type": "object"
      }
     }
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "result": {
   "entities": [
    {
     "text": "Airbus",
     "type": "organization"
    }
   ],
   "keywords": [
    "Airbus"
   ]
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/allthebot-keywords-entities-extractor-27a81afc/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from velux.taild4d007.ts.net:8443](https://www.zero.xyz/host/velux.taild4d007.ts.net%3A8443/llms.txt)