Web & Data

Calculates grid coordinates for local search ranking positions.

Retrieves detailed information about applications available on the Google Play Store.

Provides current top news headlines from real-time news sources.

Retrieves real-time product deals and pricing information from Google Shopping.

Searches real-time local events and returns matching results with location-based mapping data.

Delivers real-time local news headlines from multiple sources.

Returns real-time product listings from a major retailer organized by category.

Retrieves trust and safety information for websites.

Pick k of your items with or without replacement, optionally weighted by integer weights (raffles, lotteries, sortition, A/B splits). One verified randomness draw, cumulative-weight search over a rejection-sampled uniform value, up to 10000 items. The exact rule and the raw draw ride along so you can recompute the winners.

Fetch a public web page and return clean readable text with its title and metadata - the form a model can actually use, with navigation, scripts and styling removed. Follows up to 3 redirects, caps the download at 2000000 bytes and gives up after 15000ms. Reaches the PUBLIC internet only: the hostname is resolved and every redirect hop re-checked against private, loopback, link-local and CGNAT ranges, so this cannot read internal services or cloud metadata. Returns raw HTML too on request.

Give a URL and a question; get an answer grounded in that page, WITH the passages the answer was drawn from. We fetch the page, chunk it, embed the chunks and your question, retrieve the closest 4 passages and answer from those only. Nothing is stored — it is a one-shot pipeline, not an index. The retrieved passages come back with the answer so you can check it rather than trust it, and when nothing on the page is relevant the product says so instead of letting the model improvise. Reaches the public internet only, with the same SSRF protections as the fetch product.

Ask a yes/no question about the future and get three things: an independent model probability, the live price of the matching prediction market when one exists, and — the point of the product — the whole record anchored into the Animica data-availability layer with a commitment anyone can verify FREE and permanently at GET /x402/forecast/{commitment}. Anyone can claim afterwards that they called it; this proves what was believed beforehand. Both numbers are always returned side by side: the model is NOT claimed to beat the market, and our own accuracy against every resolved market is published free at GET /x402/forecast/calibration, including when we lose. If the record cannot be anchored the call fails rather than selling an unanchored prediction.

One call that searches the web and returns the readable text of the top pages — the whole "look this up" loop an agent otherwise writes by hand as a search plus N fetches plus N HTML cleanups. Pages are fetched concurrently under a deadline, stripped of navigation and scripts, and returned with their titles and source URLs. Every page you asked for is accounted for: the ones that could not be read come back in pages_failed WITH the reason (403, timeout, paywall, no extractable text), because a thin web and a broken fetcher look identical otherwise. No model is called and nothing is summarised — you get the evidence, not an answer to trust. If the search finds nothing, or every page fails, you are NOT charged.

Uniform integers in [min, max] derived from ONE verified randomness draw by rejection sampling (never modulo bias) — up to 1000 per request. The response carries the raw draw, the node's source/health/attestation and the exact rule, so you can recompute every integer offline.

Fisher-Yates permutation of your list (or of 1..N), up to 10000 items, derived from ONE verified randomness draw. Returns the permutation of 0-based indices plus the shuffled items, with the exact swap-and-byte-consumption rule so you can recompute it offline.

Search the live web and get back ranked results with titles, URLs and snippets — no account, no API key, one payment per query. Built for agents that need to look something up mid-task: results are deduplicated by URL across every engine that answered, and the engines that produced them are named in the response so you can judge the coverage you actually received rather than assuming it was complete. If no engine answers, the request fails and you are NOT charged — an empty result set is never sold as an answer.

Emit the actual files that fix a site's AI legibility, ready to deploy: a real /llms.txt, a /robots.txt that stops excluding AI crawlers (with a unified diff against the current one), and a JSON-LD block for the page . Nothing is invented: every link in the llms.txt is discovered on the site and then FETCHED to confirm it answers 200, with failures dropped and counted, and every JSON-LD field is copied from something the page actually declares — anything that cannot be grounded is omitted rather than guessed. A small model writes only the prose, from the titles and descriptions we extracted; any URL it returns that is not in the verified set is discarded. Pairs with /x402/geo/audit: audit tells you what is wrong, this hands you the files. Re-run the audit afterwards to confirm the score moved.

Full-text search over what machine-payable services actually publish — their descriptions, input schemas, parameter names, prices and settlement networks — across ~18,000 x402 endpoints. Built from their own payment challenges, which a general crawler discards as a dead page: ask for a parameter name, a schema field or a network and you match services whose one-line blurb never mentions it. Filter by price ceiling, by whether the service publishes a call spec, and by payment protocol. Every response states how many documents were searched and how stale the oldest is, because an index that will not tell you its size is asking to be trusted about the one thing you cannot check. Ranked by BM25 — no model, so the same query ranks the same way twice. If the index is empty or nothing matches, you are NOT charged.

Give it up to 10 URLs and get back the readable text of each — titles, clean body text, navigation and scripts removed — in a single call and a single payment. The half of every retrieval pipeline an agent already has links for: search results, a sitemap, an RSS feed, a user's reading list. Pages are fetched concurrently under a deadline. Every URL you send is accounted for: the ones that could not be read come back in failed[] WITH the reason (403, timeout, paywall, no extractable text, private address), because a bad input and a broken fetcher need opposite responses from you. If not one URL could be read, you are NOT charged.

Audit whether a website can actually be read, quoted and cited by AI agents, and get a prioritised fix list. Probes the homepage as each real AI crawler (GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-User, PerplexityBot, CCBot, meta-externalagent, Amazonbot) to catch the 429s, 403s and soft-404s that make a live site invisible; parses robots.txt per agent including the robots-only training tokens Google-Extended and Applebot-Extended; and checks llms.txt, structured data, machine-readable endpoints (OpenAPI, MCP, x402, well-known), sitemap, canonical and title/meta, plus how much of the page survives with JavaScript off. Fully deterministic — no model is called, so the same site scores the same twice. It does NOT ask ChatGPT or Perplexity whether they have heard of your brand; it measures the inputs that decide whether they can.

Validates DMARC email authentication records for specified domains.

Hardened headless-browser fetch with full JavaScript/SPA rendering and a realistic browser profile, returning fully rendered Markdown. Best for JavaScript-heavy/SPA pages and light bot checks; not guaranteed against advanced anti-bot walls (e.g. Cloudflare/Akamai).

Amazon product data on demand with key details including ASIN, title, brand, price, currency, rating, review count, availability, thumbnail, and product URL. Get results for $0.03 per record (minimum 1, up to 1,000). Enter your search keywords, optionally choose an Amazon marketplace (com, in, co.uk, de, ca, com.au, ae), and the number of products you need. Discover live Amazon product listings in seconds. Powered by Techforce Global — explore more at https://techforceglobal.com

Returns an outdoor-fit rating, weather tradeoffs, and transportation exposure notes for a destination or coordinates, with confidence caveats. Use to decide whether to shift timing or route before a trip.