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Definition Descriptions — Adjacent Word-Pair Frequency
x402
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 2026-10-21).
Computes bigram (adjacent word-pair) frequency counts from definition-description text extracted from a specified HTML element on a web page.
Price / call$0.01
Success—
StatusUnknown
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.
Example use cases
Glossary term bigram analysis
“Pull the definition text from the <dd> element with id 'term-cache' on https://techsite.com/glossary and tell me which adjacent word pairs appear most often for the term 'cache'.”
Product guide vocabulary profiling
“Analyze the definition description on https://shop.example.com/guide — the element has attribute data-kind set to 'product-guide' — and give me the adjacent word-pair frequencies for the term 'checkout'.”
Comparing new vs old definition text bigrams
“Here's some raw HTML for our updated API docs definition section; compare its word-pair frequencies against these older definition snippets I'm providing, focusing on the term 'endpoint' in the element with id 'api-def'.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-web-definition-text-bigrams?utm_source=zero.xyzWhen to prefer
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).
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | |
| html | string | |
| term | string | |
| attribute | string | |
| previous_texts | array | |
| attribute_value | string |
Tags
x402
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