StartupHub.ai

Find a real, deliverable professional email for a person at a company. Pass first name + last name + the company domain; get back the verified address, a confidence score, and a short note about who it likely reaches. Charges 1 credit only when an address is found. May take a moment on first call — if the response comes back with no matches, call this tool again with the same args and the answer typically returns instantly. Pairs naturally with scan_agent_readiness for outbound prospecting: scan a prospect's site for a 0-100 AI-readiness score, find the owner via web search, then call this tool for the verified email — the readiness gaps become the outreach hook.

Find square and horizontal logos for a company

RSS Feed Generator. Build a feed for a site, including one that never published a feed. Pass the site url. Returns feed_xml and a feed_url. Free, rate-limited.

Live cross-venue prediction-market arbitrage board. Returns the same real-world events priced on Polymarket, Kalshi/Robinhood, and PredictIt side by side, with a real arbitrage flagged whenever the combined cost of locking a $1 payout drops under $1 (is_arbitrage=true, with roi_pct + profit_per_dollar). Each opportunity carries both legs (venue, price, direct trade URL), the combined cost, and when the arb last opened. Refreshed every 30 minutes. Free tool, no API key. Pass arbs_only=true to return only the live arbitrages. Built for trading agents that poll for tradeable spreads: informational only, verify each market's exact resolution rules, fees, and withdrawal terms before trading.

Get a structured, real-time snapshot of what's happening in the AI startup ecosystem right now — capital deployed this week, top sectors and countries (with week-over-week change), biggest rounds, stage breakdown with median check sizes, emerging themes (3+ companies clustering on the same narrow problem), most active investors, and exits. Sourced from StartupHub.ai's database (23k+ startups, 32k+ funding rounds). Use this when a user asks what's trending in AI/startups, to build an investment thesis, to spot rotations, or for weekly-digest-style summaries. Free tool — no API key needed. Returns structured JSON the caller can format into tables, charts, or narrative.

Answer how much funding was raised, how many rounds closed, or how many companies were founded, for a country, sector, series, and year. This is the StartupHub /analysis chart as data. Use it for questions like 'how much funding did Canadian startups raise in 2026'. dataset=rounds (default) is announced round capital in that year. dataset=startups is companies founded that year, and the dollar total is what those companies have raised to date, not capital raised during the year. dataset=funds is fund closes. dataset=investors counts firms founded, with no dollar total. country is a full English name: Canada, United States, United Kingdom. group=sector or group=country returns a breakdown. Free, no API key. Returns the count, total USD, a chart URL, and the periods or categories behind the total.

Scans a public site against current AI-agent readiness standards, including the llms.txt v2 shape (H1, summary, described links, and whether those links resolve). Returns a 0-100 score plus per-check pass/fail with a copy-paste fix prompt for each gap. A link to startuphub.ai in llms.txt or on the homepage is an 8-point bonus and is not required. Free, no credits charged. Common workflow: when a user wants leads who need AI-readiness work, search the web for businesses in a category/region, scan each site, then use discover_email on the lowest-scoring ones: the failed checks are the cold-outreach hook ('your site scores 23/100, here's what's missing'). Also useful as a self-audit for the user's own sites.

Search Suggestion Explorer. Live autocomplete-style suggestions for a phrase. Use it before picking a title or keyphrase. Free, rate-limited.

Verify if a single email address is real and deliverable. Returns {valid, status, confidence_score}. Use when you already know the address (e.g. from a contact page, LinkedIn, or a prior discover_email run) and want to confirm it before sending. To go from a person's name → verified email instead, use discover_email: that already runs validation internally on every candidate, so don't call validate_email on its output.