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Button Labels — Adjacent Word-Pair Frequency
x402
Button 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 2026-10-16).
Analyzes a webpage or HTML snippet to compute the frequency of adjacent word pairs (bigrams) found in button labels.
Price / call$0.01
Success—
StatusUnknown
How this service works
Button labels — Adjacent word-pair frequency: Adjacent word-pair frequency for Button 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 a bounded result containing the frequency count of adjacent word pairs (bigrams) found within button labels on the specified webpage or HTML. The response includes how often each two-word sequence appears in button label text, filtered or contextualized by the supplied search term and attribute options.
Example use cases
UI copywriting pattern research
“Look at the button labels on https://shopify.com and find the most common adjacent word pairs — I want to understand what two-word phrases appear most often in their buttons, especially around the word 'start'.”
Competitive CTA language analysis
“I have some HTML from a competitor's landing page — can you parse the button labels and tell me which word pairs appear most frequently? I'm especially curious about bigrams involving the word 'free'.”
A/B testing copy audit
“Check the buttons in this HTML snippet and count how often adjacent word pairs occur in the button text, focusing on bigrams that include the word 'now' — I want to see if action words are being paired consistently.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-web-buttons-bigrams?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quantify which two-word sequences co-occur in button label text on a static webpage or HTML fragment. It is purpose-built for UI copy analysis, CTA pattern research, and language auditing of button elements specifically — not for general page text or other HTML element types. Prefer this over generic text analysis tools when your target is button label bigrams and you want a lightweight, per-call result without JavaScript rendering overhead.
Side effects
- URL is unreachable or returns non-200 status — no content to parse
- HTML exceeds 100,000 character limit — request rejected
- JavaScript-rendered buttons not captured — only static HTML is parsed
- No buttons found in the provided HTML or page — empty bigram result
- Term parameter missing or too short — validation error
- Attribute pattern does not match expected format — schema validation failure
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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