78 services carry this tag in their source record. Tags come from the provider, not from us — a tag is a claim about what the service does, not proof that it does it well.
Fact-check one claim against live web sources (or URLs you supply). Returns a verdict (supported, refuted, mixed, insufficient), a confidence score and supporting or contradicting quotes that are checked verbatim against...
Drop-in Exa-compatible search: the same request (query, numResults, category, includeDomains, excludeDomains, startPublishedDate, contents.text, contents.highlights) and response format (results with id, title, url, publ...
Argentina official gazette (Boletin Oficial) keyword search returning literal excerpts of matching notices with dates and source URLs; an optional date limits the search to that day's notices. Use this when an agent need...
Search and contents in one call (Exa search + contents, Firecrawl search with markdown, cheaper): authority-ranked Google-quality results, then the top 1-5 pages read as clean markdown (main content only) with title, aut...
Use when an agent needs to search and read in one call. Input: q, optional max (1-10, default 5), time_range (day, week, month, year). Output: JSON results (title, URL, date) and, for the top 3, the page converted to Mar...
Generate sentence embeddings (all-MiniLM-L6-v2, 384-dim, mean-pooled + L2-normalized) for up to 96 texts per call. Drop-in compatible with any all-MiniLM-L6-v2 index. Pairs with /chunk for a complete RAG pipeline.
Compress long documents and RAG inputs into token-budgeted, deduplicated context packs with source-linked provenance. Returns original and compiled token counts, so the saving is verifiable. Net-positive above N = fee /...
PDF to text: give a PDF URL, get the text of every page with the title, author and page count. For RAG, research and summarizing reports, filings and papers.
Drop-in Tavily-compatible search: the same request (query, search_depth basic / advanced, topic general / news, max_results, include_answer, include_raw_content, include_domains, exclude_domains, time_range, days) and re...
Generate a text embedding vector using OpenAI text-embedding-3-small (1536 dimensions). Ideal for semantic search, RAG, and clustering. No API key needed; pay per call via x402. Text capped at 32k chars.
Webpage text extraction: extract clean text from any webpage. Extract the clean readable text from a public webpage with title, headings, links and SHA-256; add format=markdown for Markdown or render=true to render JavaS...
OpenAI-compatible embeddings, pay per request: one input string in, a 1,024-dimension BGE-M3 vector out (multilingual, for search and RAG). No account or API key; failed calls are not charged.
Web research. One call to research a question on the web: a Brave web search, then the text of the top 1-5 result pages, read in parallel and clipped to your length, with titles and URLs. A page that cannot be read is li...
Web search results. Search the web and get the top results as JSON: title, URL, a short snippet and the page age, from the Brave Search API. 1-20 results per call. Results are for the caller's immediate use only: no stor...
Given the URL of a public PDF, returns its text as markdown with tables as markdown tables, page by page (up to 30 pages per call, choose pages with e.g. 1-10), plus page count, title, word and table counts and pages tha...
Web-content reader: fetch any http(s) URL and return clean readable text, title/description/canonical, and outbound links as JSON — the data an agent ingests on each step of a crawl or RAG loop. Input: url.
Read multiple web pages for AI agents: give up to 5 URLs, get the full clean text of each page, rendered in a real browser so JavaScript sites work, with title and final URL, in one call and one payment. For RAG, researc...
Split long text into overlapping chunks for RAG and embeddings, by characters, words or estimated tokens, keeping sentences or paragraphs whole, with each chunk's position and size.
Check a UUID: send a string and get whether it is a valid UUID plus its version and variant. $0.001 USDC per call on Base.
Classify sentiment (positive/negative) with DistilBERT. POST text; returns label and confidence score. Fixed low per-request price.
Text embeddings for semantic search and RAG: one vector per call, 1024 dimensions.
Real-time news search for AI agents. Returns recent news articles (title, link, snippet, published date) as JSON from a multi-engine news metasearch. Pay-per-query in USDC via x402 — no signup, no API key. Use for curren...
Use when an agent needs a sourced answer to a question from the live web in one call. Input: q (question), optional time_range (day, week, month, year). Output: JSON answer (English, inline [n] citations), citations [{ur...
OpenAI-compatible text embeddings over x402 (768-dim, up to 32 inputs per call) — Genesis402 / UnyKorn Operator Network