page.intel.rallylive.ca · 887 listed services · provider site
How many <audio> elements does the page have? Fetches the URL and counts audio tags (plus, where relevant, how many have alt/src/href/type attributes), and the page's total element count for scale. Structural audits and...
All article meta tags of a page as a name → content map, with a count and a list of expected tags that are missing (for Open Graph/Twitter). One group per call for social-preview and SEO checks. $0.01 per page.
Extract the page's external links as markdown: fetches the URL, pulls every external links element and returns them as a Markdown list, with a count. Structured, one-element-type extraction for agents and pipelines; no b...
Detect the page's charset: fetches the URL and answers this one question from markup, headers and text, with the evidence. Cheap classification signal for crawlers and content pipelines. $0.01 per page.
Structured extraction preset for npm package page pages: fetches the URL and applies a layout-aware extractor (structured data first, then known markup patterns) to return clean fields instead of raw HTML. Layouts change...
Detect the page's language: fetches the URL and answers this one question from markup, headers and text, with the evidence. Cheap classification signal for crawlers and content pipelines. $0.01 per page.
Structured extraction preset for reddit thread pages: fetches the URL and applies a layout-aware extractor (structured data first, then known markup patterns) to return clean fields instead of raw HTML. Layouts change, s...
Extract acronyms mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything important....
Structured extraction preset for stackoverflow question pages: fetches the URL and applies a layout-aware extractor (structured data first, then known markup patterns) to return clean fields instead of raw HTML. Layouts...
Extract postcodes uk from a web page: fetches the URL and returns every postcodes uk found in the page text and markup (deduplicated, with counts and up to 300 items), so an agent gets the values without parsing HTML. $0...
Extract product versions mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything im...
Structured extraction preset for hacker news item pages: fetches the URL and applies a layout-aware extractor (structured data first, then known markup patterns) to return clean fields instead of raw HTML. Layouts change...
Extract zip codes us from a web page: fetches the URL and returns every zip codes us found in the page text and markup (deduplicated, with counts and up to 300 items), so an agent gets the values without parsing HTML. $0...
Extract percentages mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything importa...
Structured extraction preset for github repo stats pages: fetches the URL and applies a layout-aware extractor (structured data first, then known markup patterns) to return clean fields instead of raw HTML. Layouts chang...
Extract tracking ids from a web page: fetches the URL and returns every tracking ids found in the page text and markup (deduplicated, with counts and up to 300 items), so an agent gets the values without parsing HTML. $0...
Extract money mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything important. $0...
Structured extraction preset for github readme headings pages: fetches the URL and applies a layout-aware extractor (structured data first, then known markup patterns) to return clean fields instead of raw HTML. Layouts...
Extract github repos from a web page: fetches the URL and returns every github repos found in the page text and markup (deduplicated, with counts and up to 300 items), so an agent gets the values without parsing HTML. $0...
Extract dates mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything important. $0...
Structured extraction preset for wikipedia sections pages: fetches the URL and applies a layout-aware extractor (structured data first, then known markup patterns) to return clean fields instead of raw HTML. Layouts chan...
Extract youtube ids from a web page: fetches the URL and returns every youtube ids found in the page text and markup (deduplicated, with counts and up to 300 items), so an agent gets the values without parsing HTML. $0.0...
Extract places mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything important. $...
Structured extraction preset for wikipedia summary pages: fetches the URL and applies a layout-aware extractor (structured data first, then known markup patterns) to return clean fields instead of raw HTML. Layouts chang...
Extract ibans from a web page: fetches the URL and returns every ibans found in the page text and markup (deduplicated, with counts and up to 300 items), so an agent gets the values without parsing HTML. $0.01 per page.
Extract organizations mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything impor...
Structured extraction preset for wikipedia infobox pages: fetches the URL and applies a layout-aware extractor (structured data first, then known markup patterns) to return clean fields instead of raw HTML. Layouts chang...
Extract mac addresses from a web page: fetches the URL and returns every mac addresses found in the page text and markup (deduplicated, with counts and up to 300 items), so an agent gets the values without parsing HTML....
Extract people mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything important. $...
Split a web page's readable text into ~2048-token chunks with 100-token overlap, breaking on sentence boundaries, for embeddings and RAG. Returns the chunks in order with their approximate token counts, the page title an...
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