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Figure Captions Literal Term Matcher
x402
Figure Captions Literal Term Matcher is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Extracts figure captions from a webpage or HTML that contain a specified literal search term, with optional attribute filtering.
Price / call$0.01
Success—
StatusUnknown
How this service works
Figure captions — Literal term matches: Literal term matches for Figure captions. 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 literal term matches result.
Output
A bounded result set of figure caption texts from the provided URL or HTML that contain an exact literal match for the specified term, optionally filtered by a specified HTML attribute and its value. The response includes matched figcaption content up to the defined result limit.
Example use cases
Product image caption search
“Go to https://shop.example.com/products and find all figure captions that literally contain the word 'warranty', especially those with a data-kind attribute set to 'spec'.”
Scientific paper figure lookup
“Parse this HTML I'm pasting and find every figcaption that literally mentions 'carbon dioxide' — here's the HTML: <!doctype html><html><body><figcaption data-section="results">Carbon dioxide levels measured</figcaption></body></html>”
News article image caption audit
“Check https://news.example.com/article/2024 for any figure captions that literally contain the term 'climate', and tell me which ones have a class attribute set to 'featured'.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-web-figcaptions-term?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to extract and filter figcaption elements from a static HTML page by a literal keyword, with optional HTML attribute-based filtering. Ideal for scraping image captions, gallery descriptions, or scientific figure labels from publicly accessible pages without JavaScript rendering. Prefer this over generic web scraping when the target is specifically figcaption elements and literal string matching (not fuzzy or semantic) is required.
Side effects
- URL is inaccessible, returns non-200 status, or requires JavaScript rendering — static parsing only
- HTML content exceeds 100,000 character limit
- Term is empty or exceeds 100 characters
- Attribute name does not match the pattern ^[a-zA-Z][a-zA-Z0-9:_-]{0,49}$
- No figure captions matching the term are found — returns empty result
- Page requires login or authentication — not supported
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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