56 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.
Full website audit in one call: accessibility (WCAG 2.1 A/AA via axe-core), on-page SEO, HTTP security headers and page speed / page weight, from a single browser load of one URL. Cheaper than four separate calls; if any...
A synthesized answer to a natural-language question, grounded in a live web search and returned with source citations (URL, snippet). Use it when an agent needs a direct, current answer plus the receipts to verify or fol...
Email deliverability & domain security check — validates SPF, DKIM (multi-selector), and DMARC, detects spoofing and misconfigurations, and returns an A–F email security grade with transparent deductions. Anti-spam / ant...
Importance-ranked crypto headlines with per-article source links and publish times, plus a sentiment-scored market brief. Regenerated hourly; meta carries the snapshot's age and a fresh/stale verdict.
Text-to-image generation on Venice models (Flux, SD3.5, GPT-Image, HunyuanImage, and more), paid per request in USDC on Base via x402, no API key. Charge is catalog unit × variants (1–4). A bare unpaid probe (no model) q...
Top-tier research in one call: the question plus 3 sub-questions (from Google's people-also-ask and related searches, or your own), up to 16 pages read in full with prompt-injection checks, the key quoted passages overal...
Prediction market wallet record: one wallet's prediction-market profit and loss, markets traded and won, and recent trades. Use when an agent needs to judge a prediction-market trader's record before following them. $0.0...
Web search that returns structured SERP results as JSON. Runs on a dedicated SearXNG instance aggregating multiple engines, so there is no per-engine API key, quota or HTML scraping to manage. Each result carries title,...
Web search that returns READY-TO-USE grounding text, not links: for one query you get the passages an independent search index extracted from the pages it ranked, flattened into chunks with their source URL and title and...
Convert text into a 768-dimension embedding vector (nomic-embed-text) for semantic search, RAG retrieval, clustering, deduplication or similarity scoring. POST JSON {"input": string}, up to 3000 characters; returns {embe...
Rerank documents against a query over x402 - the Cohere /rerank wire ({query, documents[], top_n} -> results with relevance_score), served by cohere/rerank-v3.5, $0.002 per call in USDC, no API key, no signup. Up to 50 d...
OpenAI-compatible text embeddings (text-embedding-3-small by default; 3-large and ada-002 supported), up to 64 inputs or 16k chars per call, returned in the standard OpenAI shape. Identical inputs repeated within 10 minu...
Web research in one call: search, read the top 8 pages in full (clean markdown, each with a prompt-injection check) and extract the 15 key passages that answer the question, with sources and domains. For agents that need...
Query collection d7a35b6c-a71a-4c4e-abdc-901c74cad8b3
Generate a text embedding vector using OpenAI text-embedding-3-large (3072 dimensions). Higher accuracy than the small model. Ideal for semantic search, RAG, and clustering. No API key needed; pay per call via x402. Text...
Read any public URL as clean Markdown for an LLM: articles, docs, product pages, news, PDFs (text by page), RSS feeds and JSON. Real tables, code with language, math as TeX, absolute links; author, publish date and other...
Web search + read top pages in one call (search and contents, like Exa search + contents, cheaper): Google-quality, authority-ranked results, then the top 1-5 pages as clean markdown (main content only) with title, URL,...
CUDA, driver and Ollama compatibility - GPU support, model memory fit and proof inference uses the GPU
Answer a question when you have no URL yet: searches Wikipedia (source 'web') or recent news articles (source 'news') and returns the top 1 to 5 result pages already read as clean Markdown, with title, URL and snippet. R...
Answer with sources: ask a question, get a short answer with numbered citations [1], [2] and the source list. Searches Wikipedia and our own news index (GDELT and Hacker News, last 7 days), reads the top 3 pages and answ...
What should your agent read next? Send text from your corpus; get the concepts most strongly linked to it that it does not yet cover, each with the linking terms and measured link strength. Text is not stored. Text with...
Embeddings, OpenAI compatible. A 1,024-dimension embedding vector for up to 4,000 characters of text in 100+ languages, from BAAI's BGE-M3. Use for semantic search, RAG retrieval, clustering and deduplication.
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...