# Definition Descriptions — Adjacent Word-Pair Frequency

> Definition Descriptions — Adjacent Word-Pair Frequency is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Computes bigram (adjacent word-pair) frequency counts from definition-description text extracted from a specified HTML element on a web page.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-web-definition-text-bigrams?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/definition-descriptions-adjacent-word-pair-frequency-cffdd83b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MgDr9TtTZ6AZfTFSEKfL7

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 definition-descriptions-adjacent-word-pair-frequency-cffdd83b -d '<json body>'
```

Example prompt: Fetch the definition description element with id 'product-desc' from https://docs.example.com/glossary and count all adjacent word-pair frequencies in the text for the term 'configuration'.

## When to prefer this

Choose this endpoint when you need bigram (adjacent word-pair) frequency analysis specifically from definition description elements (e.g. <dd> tags) on a static, publicly accessible HTML page, or from supplied raw HTML, without needing JavaScript rendering or authenticated access. Ideal for NLP preprocessing, glossary analysis, and content vocabulary profiling tasks at low cost ($0.01 USDC per call).

## Known failure modes

- URL is inaccessible or returns non-200 status — no text extracted
- Specified attribute or attribute_value does not match any element — empty result
- Page requires JavaScript rendering — static parser returns incomplete or empty HTML
- HTML exceeds 100,000 character limit — request rejected
- Term not found in extracted text — empty bigram result
- Previous_texts array exceeds 200 items — request rejected

## How this service works

Definition descriptions — Adjacent word-pair frequency: Adjacent word-pair frequency for Definition descriptions. One public HTTPS page or supplied HTML; static parsing, no JavaScript rendering, login or access bypass. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded adjacent word-pair frequency result.

## Output

Returns a bounded set of adjacent word-pair (bigram) frequency results derived from the definition description text found in the specified HTML element, showing how often each consecutive word pair appears in the extracted text.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "url": {
   "type": "string",
   "default": "",
   "maxLength": 2048
  },
  "html": {
   "type": "string",
   "default": "<!doctype html><html><head></head><body><dd id=\"sample\" data-kind=\"example\">Example product guide</dd></body></html>",
   "maxLength": 100000
  },
  "term": {
   "type": "string",
   "default": "product",
   "maxLength": 100,
   "minLength": 1
  },
  "attribute": {
   "type": "string",
   "default": "id",
   "pattern": "^[a-zA-Z][a-zA-Z0-9:_-]{0,49}$",
   "maxLength": 50
  },
  "previous_texts": {
   "type": "array",
   "items": {
    "type": "string",
    "default": "",
    "maxLength": 1000
   },
   "default": [
    "Older example"
   ],
   "maxItems": 200,
   "minItems": 0
  },
  "attribute_value": {
   "type": "string",
   "default": "sample",
   "maxLength": 200
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/definition-descriptions-adjacent-word-pair-frequency-cffdd83b/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)