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Time Labels — Text Length Ranking
x402
Time Labels — Text Length Ranking is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Ranks text content by length across <time> HTML elements on a page, filtered by a search term and attribute, comparing against previously seen texts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time labels — Text length ranking: Text length ranking 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 text length ranking result.
Output
Returns a single bounded text length ranking result indicating how the matched <time> element texts rank by character length relative to each other and any previously supplied texts, based on static HTML parsing without JavaScript rendering.
Example use cases
Verbose timestamp audit for CMS
“Scrape https://myblog.com/archive, find all <time> elements with the attribute class equal to 'post-date', look for the term 'published', and rank their text lengths so I can see which post dates have the most verbose labels compared to these baselines: ['Posted Jan 2023', 'Updated recently'].”
Event listing label comparison
“On https://eventsite.com/schedule, grab all <time> tags where the data-kind attribute equals 'session', filter for ones mentioning 'workshop', and rank the text by length against my previous list: ['Morning workshop intro', 'Afternoon breakout session'].”
Product guide timestamp ranking
“Parse the HTML I'll give you — it has <time> elements with id 'sample' — find those mentioning 'product', and rank their text lengths compared to my previous entries: ['Older example', 'Legacy product note'].”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-web-times-rank?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to specifically rank <time> HTML elements by text length on a static page, especially when comparing new text against a known baseline of previous texts. It is purpose-built for time-label content analysis rather than general text extraction or full-page ranking. Prefer it over generic scrapers when you need bounded, cost-effective single-element ranking with attribute filtering.
Side effects
- URL unreachable or returns non-200 status — no content to parse
- No <time> elements matching the specified attribute and attribute_value found — empty result
- HTML too large (>100,000 characters) — request rejected
- Term not found in any matching <time> element — zero matches ranked
- Invalid attribute name pattern — validation error
- Both url and html omitted — no content to process
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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