Bundles return the entire briefing. company + leadership + funding + tech stack + competitive map. What used to take a day takes 3 seconds.
Each of these internally runs 5-15 upstream operations and returns one cohesive payload. Flat-priced. you know the cost upfront.
For: VCs, partnership scouts, due-diligence agents.
Returns: Company profile + founders/owners (c_suite) + funding round history + employee headcount trajectory + tech stack.
20 cr · ~$0.40For: Competitive intelligence agents, strategy teams.
Returns: Competitor leadership + recent leadership movements + their tech stack + lookalike companies (your addressable market).
25 cr · ~$0.50For: Pre-meeting research agents, BD prep.
Returns: Company + decision maker + 2-person committee + recent funding + recent job-changes at the account + 3 similar companies.
25 cr · ~$0.50For: Network mapping, M&A intro research.
Returns: Source person + every past company they worked at + peers at those past companies (warm-intro candidates).
15 cr · ~$0.30// 1. Pull the live funding feed const { data } = await fetch(`${AE}/signals?kind=funding&limit=100`, { headers: H }).then(r => r.json()); // 2. Filter to your criteria. your LLM does this from natural language const matches = data.filter(d => d.companyIndustry?.toLowerCase().includes("financial") && ["GB", "DE", "FR", "NL"].includes(d.companyCountry) ); // 3. For each match, get the full founder research bundle const briefs = []; for (const co of matches.slice(0, 50)) { const bundle = await fetch(`${AE}/bundles/founder-research`, { method: "POST", headers: H, body: JSON.stringify({ company_domain: co.companyWebsite }), }).then(r => r.json()); briefs.push(bundle); } // 4. Hand to your LLM for ranking + outreach drafting // Total cost: 50 × 20 cr = 1000 cr = $20 at Starter rate
Build a complex filter ("Series B SaaS in Austin, head of engineering, with React in their stack"). Save it. Re-run it weekly with one API call.
Track 500 target accounts. We push a webhook when anyone joins, leaves, or gets promoted at any of them. Real-time research.
GET /v1/me/people. every person you've ever resolved, exportable as CSV. Build your own internal directory over time.