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Definition Lists — Adjacent Word-Pair Frequency
x402
Definition Lists — 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 2026-10-17).
Extracts adjacent word-pair (bigram) frequencies from HTML definition list elements on a given webpage or supplied HTML snippet.
Price / call$0.01
Success—
StatusUnknown
How this service works
Definition lists — Adjacent word-pair frequency: Adjacent word-pair frequency for Definition lists. 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 result containing adjacent word-pair (bigram) frequency counts extracted from the matching definition list element on the specified page or HTML input. Includes counts of how often each two-word sequence appears consecutively within the definition list text, scoped to the identified element.
Example use cases
SEO keyword co-occurrence analysis
“Go to https://shop.example.com/features and pull the adjacent word-pair frequencies from the definition list with the attribute 'data-kind' set to 'features', searching around the term 'pricing'. I want to see which words appear next to each other most often.”
Content audit of product documentation
“I have this HTML snippet from our docs: '<dl id="api-reference"><dt>Rate limit</dt><dd>Maximum requests per second allowed by the API.</dd></dl>' — can you find the bigram frequencies in that definition list for the term 'API'?”
Competitive glossary term analysis
“Fetch the page https://competitor.com/glossary and extract how frequently each adjacent word pair appears in the definition list element with attribute id equal to 'main-glossary', focused on the term 'integration'.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-web-definition-lists-bigrams?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to statistically analyze adjacent word-pair (bigram) frequencies specifically within HTML definition list (`<dl>`) elements, either from a live public URL or a supplied HTML string. It is ideal for NLP preprocessing, SEO analysis, content auditing, or glossary mining tasks where the structure of interest is a definition list. Prefer this over generic text extraction tools when you specifically need bigram-level statistics scoped to `<dl>` elements rather than full-page text.
Side effects
- URL is inaccessible, paywalled, or returns non-200 status — no content parsed
- No definition list element matching the specified attribute/value found in the HTML — empty or null result
- HTML content exceeds 100,000 character limit — request rejected
- JavaScript-rendered content not captured since only static parsing is performed
- Term not found in the definition list — zero or minimal frequency results
- Malformed HTML prevents accurate parsing — incomplete or incorrect bigrams returned
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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