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Time Labels — Term Context Excerpts
x402
Time Labels — Term Context Excerpts is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-10).
Extracts surrounding context excerpts for a specified term found within HTML <time> elements on a web page or supplied HTML.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time labels — Term context excerpts: Term context excerpts 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 term context excerpts result.
Output
Returns one or more bounded text excerpts showing the surrounding context where the specified term appears within <time> HTML elements on the page, including the matched element's attribute data and nearby text passages.
Example use cases
Release schedule term lookup
“On https://releases.myproduct.com/history, find all the context excerpts around the word 'stable' that appear in <time> elements with the attribute 'data-kind' set to 'release'.”
News archive date label search
“I've got this HTML snippet from a news archive page — can you find every place the term 'election' appears in <time> elements and give me the surrounding text for each one? The attribute to focus on is 'datetime'.”
Event page keyword context
“Go to https://conference.example.org/agenda and pull out all the context excerpts around the term 'keynote' from the time labels on that page, filtering by the 'id' attribute with value 'main-schedule'.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-web-times-contexts?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract how a specific keyword or term is used in the context of HTML <time> elements on a static web page. It is ideal for analyzing temporal labels, event schedules, release histories, or any page where date/time tags carry meaningful text and you need to understand the surrounding narrative for a given term. Prefer it over generic text extractors when the target content is specifically time-element-scoped.
Side effects
- URL is inaccessible or returns a non-200 HTTP status, resulting in an error or empty result
- HTML contains no <time> elements matching the specified attribute/value pair
- The search term does not appear within any matching <time> element context
- JavaScript-rendered content is not captured since only static HTML parsing is performed
- HTML input exceeds the 100,000 character limit
- Term parameter is empty or missing, causing a 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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