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Link Labels — Text Length Ranking
x402
Link 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 2026-10-15).
Ranks link label texts by length from a web page or supplied HTML, filtered by element attribute and compared against a reference term and previous texts
Price / call$0.01
Success—
StatusUnknown
How this service works
Link labels — Text length ranking: Text length ranking for Link 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 bounded text length ranking result containing the anchor/link label texts found matching the specified attribute and value, ranked by character length, with context comparing them to the supplied reference term and previous text entries.
Example use cases
SEO anchor text length audit
“Go to https://myblog.com/articles, grab all the links with attribute class='post-link', and rank their label texts by length compared to the term 'read more' — I want to see if my anchor texts are getting longer over time compared to my old ones: ['Read this post', 'Continue reading'].”
Navigation label consistency check
“I have this HTML snippet with our nav links — can you rank the anchor text lengths for links where id='main-nav', comparing against the term 'home' and my previous nav labels ['About us', 'Contact', 'Services']?”
Competitor link copy benchmarking
“Pull the page at https://competitor.com/features, find links with attribute data-section='cta', and rank their label texts by length against our benchmark term 'get started' and our historical labels ['Try it free', 'Start today', 'Sign up now'].”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-web-links-rank?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, low-cost ($0.01 USDC) static parse of link label texts ranked by length from a public page or known HTML, especially when comparing labels against a reference term or tracking changes over previous text versions. Prefer this over general scraping when your goal is specifically text-length ranking of anchor elements filtered by an HTML attribute, and the target page does not require JavaScript rendering or authentication.
Side effects
- URL is inaccessible, behind a login, or requires JavaScript rendering — static parsing only, so dynamic content won't be captured
- No links matching the specified attribute and attribute_value found on the page — empty result
- HTML input exceeds 100,000 character limit — request rejected
- term field empty or missing — validation error
- Malformed attribute pattern not matching regex — request rejected
- URL resolves to non-HTML content — parsing fails
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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