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Time Labels — Adjacent Word-Pair Frequency
x402
Time Labels — 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 2026-10-12).
Extracts bigram (adjacent word-pair) frequencies from HTML <time> elements on a given webpage or supplied HTML snippet.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time labels — Adjacent word-pair frequency: Adjacent word-pair frequency for Time labels. 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 bounded adjacent word-pair (bigram) frequency counts extracted from <time> HTML elements on the target page or supplied HTML, scoped to the specified attribute and term filter.
Example use cases
Blog post timestamp text patterns
“Can you pull the adjacent word-pair frequencies from the <time> labels on https://myblog.com/archive and find how often the term 'published' appears near other words in those elements?”
E-commerce event date label analysis
“I have this HTML snippet with <time> tags for event listings — can you count the bigrams in those time elements, filtering for the data-kind attribute equal to 'event', and look for the term 'sale'?”
News site temporal label NLP preprocessing
“Analyze the word-pair frequencies inside all <time> elements on https://newssite.com/articles, searching for the term 'breaking' in elements where the class attribute equals 'timestamp', using these previous texts as baseline: ['Yesterday news update'].”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-web-times-bigrams?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need bigram (adjacent word-pair) frequency analysis scoped to HTML <time> elements, with optional attribute filtering. It is ideal for NLP preprocessing of temporal labels, blog timestamps, or event date text. Prefer it over general-purpose bigram tools when the target data lives inside <time> tags and you want bounded, cheap single-call results without JavaScript rendering.
Side effects
- URL is inaccessible or returns non-200 status — no content to parse
- HTML content exceeds 100,000 character limit — request rejected
- No <time> elements found matching the specified attribute/value — empty result
- Term not found in any time element text — zero-frequency result
- Invalid attribute name pattern — schema validation error
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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