All projects matching “user”

Detect whether a User-Agent belongs to a known bot, crawler, AI agent or HTTP tool, and if so return its name and category (search, social, seo, ai, monitoring, tool, …).

Social Mentions & Sentiment: daily mention counts, distinct authors and mean VADER sentiment for a brand, product or topic over the last 1-7 days, plus the top 10 co-occurring terms. Sources: Bluesky and Hacker News, plus Reddit and X (latest, newest first) when available. One page per source: days beyond its reach come back truncated (coverage_from). Aggregate only, no text, no authors; a day und

Audits a website for AI agent and AI crawler readiness from caller-supplied inputs: robots.txt, HTML, headers, llms.txt, sitemap lastmod, /.well-known. Names the policy per AI token (GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-SearchBot, Claude-User, PerplexityBot, Perplexity-User, Google-Extended, Gemini-User, KagiBot, Kagi-User, Applebot-Extended, Bytespider, CCBot, Amazonbot, meta-ex

Search X/Twitter tweets with the full operator set — keyword, exact phrase, from-user, language, date range, media type, minimum likes/retweets, verified-only — or search user profiles by keyword. Billed per tweet returned against your resultsLimit cap. Built for tracking what people say about a topic, brand, or ticker in real time.

FOMO's best traders for the period (24h, 7d, 30d or all time), best first. Each entry is the trader's profile (handle, user id, Solana and EVM wallets, picture, follower and trade counts, top holdings) plus rank and pnl for the period (also in FOMO's field pnl24h, pnl7d, pnl30d or totalPnL). This is all FOMO publishes: 150 entries per period, 100 all-time, no paging. Ranks beyond that are per user

Fetch a site's robots.txt and evaluate crawl permissions: given a URL (plus optional extra paths) and a user-agent, return whether each path is allowed or disallowed, the rule that matched, the user-agent group, the crawl-delay and any declared sitemaps. Implements the Robots Exclusion Protocol (RFC 9309) with longest-match-wins, Allow-over-Disallow tie-breaking and * / $ wildcards.

Gas sponsorship for one ERC-4337 user operation on Base (EntryPoint v0.8). Price = max($0.03, 1.3× the op's gas cap); this is the floor — send your user operation to get the exact quote. Bodies this URL accepts: {sender, calls[, redelegate:true]} (plain wallet, EIP-7702) | {userOperation} unsigned (any EntryPoint v0.8 smart account, bring your own operation) | JSON-RPC ERC-7677. Then POST the sign

Add a new memory. This method is called every time the user informs anything about themselves, their preferences, or anything that has any relevant information which can be useful in the future conversation. This can also be called when the user asks you to remember something.

Generate realistic-looking test data: users, companies, Luhn-valid test cards and addresses. Deterministic by seed — the same seed always produces identical records, so your tests and fixtures are reproducible. All data is synthetic; card numbers pass Luhn but are not real accounts. Use this when an agent needs to seeded test users, companies and cards — reproducible.

Get the latest tweets that mention the authenticated user (the notifications timeline). Returns up to 20 tweets per page, most recent first, with pagination support. Query params: auth_token (string, required) - Twitter auth_token cookie; ct0 (string, required) - Twitter ct0 cookie; type (string, optional) - notifications timeline to read: All (default), Priority, or Mentions; next_token (string,

Search X/Twitter for any query and get the actual matching tweets — keyword, $CASHTAG, from:handle (a user timeline), @handle (mentions), or boolean OR. Each tweet returns author, full text (long-form note tweets included), timestamp, likes and retweets (reply/quote counts when available). Most-recent-first for real-time monitoring and alerting. Live X search backend, pay-per-call USDC, structured

Twitter/X user profile lookup by username — the full public profile as JSON: display name, bio, follower and following counts, verification status, avatar, location, join date and pinned post. For influencer vetting, audience research and account enrichment.

Use when the user asks about a specific Dutch home or address before renting, buying or moving: full English report with year built, floor area, energy label, crime vs national rate, noise, air quality (NO2, PM2.5), ground height, monuments, permits, schools, 18 amenity distances, neighbourhood income and home values. Input: postcode + house number. Sources: Kadaster, CBS, Politie, RIVM, RVO.

SociaVault API proxy — twitter-user-tweets-all. Query/body matches https://docs.sociavault.com/api-reference/openapi.json. GET/POST per route; x402 per call. $0.014 USDC per request.

For AI agents building agent swarms, synthetic users, NPCs, or trading bots. Input: archetype + prompt (e.g. 'risk-taking crypto founder'). Output: OCEAN Big Five + Dark Triad + trading psychology vector with emotional drift and memory anchors. M2M: use when you need consistent agent personality, backtest personas, or generate 1000s of synthetic traders. Pay-per-call USDC Base, no API key.

An agent preparing a native HTML form reset needs missing required choice groups after radio ownership/name grouping and select placeholder/reset selection are combined, without user values or submitting anything.

Use this when a user or autonomous agent wants one current 4H crypto market decision selected from BTC, ETH, XRP and ONDO. Returns the Trading Zones Selector choice with direction, confidence, entry, liquidity-zone stop loss and take profit, R:R and nine indicators. Free, independently countable selector evidence is available before purchase. Price: $0.03 USDC via x402 on Base Mainnet; no API key

On-page SEO audit of one URL: title and meta description length, canonical, robots meta and X-Robots-Tag, robots.txt allow for user-agent *, sitemap.xml with URL count, lang, hreflang, h1-h3 outline, word count, images without alt, internal/external links, Open Graph, Twitter card, JSON-LD schema.org types, favicon, viewport, mixed content; each check pass/warn/fail with a fix and a 0-100 score.

Security advisories: Known exploited vulnerabilities (CISA KEV) enriched with daily FIRST EPSS exploit probability. Use when a user asks whether a CVE is actively exploited, which vulnerabilities in a vendor or product to patch first, whether it is used in ransomware campaigns, or needs CISA KEV due dates, required actions and FIRST EPSS exploit probability in one call.

AI chat completion. Body: {"messages":[{"role":"user","content":"Hello"}]}. Returns AI reply.

Check a URL before fetching it: is it alive, final URL after redirects, HTTP status, content type, HTML title, and whether robots.txt allows your user-agent. Link checker and fetch preflight for agents.

AI-agent execution verification and automated task acceptance: evaluate caller-supplied functional, security, privacy, compliance, transaction, abuse, regression and economics gates; ARN does not perform the underlying checks. Re-run for each release or evidence change; sustained CI users can switch to the 30-day Release Guard pass.

MCP security checks and feedback for users and developers. Choose paid access without reports, or ongoing free access within limits: POST /v1/client-token; 1 check/24h + 1 for a previous-use report. Check URL/DNS, metadata/schema/auth, OSV/CVE risk and catalog drift before connecting. Verified owners can read consented weekly reports. ALLOW/BLOCK/UNKNOWN uses caller-confirmed versions. No tool exe

Fetches live offers from a public bridge aggregator and reports for every option what arrives, what it costs in fees and gas, and how long it usually takes. The security model is given equal weight to the price: bridges are the most expensive failures this industry has, so trust_assumptions spells out who a user has to trust for that route to hold. No recommendation is forced - three best values b

WOD Coach: a personalised training programme by an AI coach for $0.35 USDC on Base. Handles injuries with enforced movement substitutions, custom equipment lists, single sessions or 3–8 week progressive blocks (Baseline → Volume → Intensity → Deload). JSON body: equipment, user_context, duration. Returns Markdown, or JSON with ?format=json.

MCP Server Scan by Agentropolis: scan a live remote MCP server URL (or pasted tools/list) before your agent connects. Reads initialize + tools/list only, never calls a tool. Flags poisoned or hidden tool instructions (IMPORTANT tags, conceal-from-user, secret or side-channel asks, invisible Unicode, tool shadowing, payment injection). Fingerprints every tool (sha256) and diffs vs your last scan to

Fetches a Twitter user’s public profile information using their screen name.

Get your NFT balance premium on base chain for user premium

Get user's latest tweets

Grab this tool when a user wants a comprehensive news briefing with analysis. Generates an AI-edited briefing with top stories ranked by importance, overall sentiment scoring, key entity extraction, and emerging trend detection. Essential for staying informed efficiently.