The public-market data all runs through Bloomberg. The private-market data all runs through email. Every funding-round newsletter is a manual scraping job the reader does with their eyes. One honest caveat: multi-source means duplicate announcements (the same round arrives from TechCrunch, Axios, and Term Sheet), so dedupe on company + round downstream before you sum anything.
Mock. Renders whatever your schema pulls out of the subscribed newsletters.
One inbox on Inbin, 4 newsletter or alert subscriptions pointed at it. Every email that lands gets parsed against your schema.
One PUT to /v1/schemas. Inbin extracts these fields from every future email. Hallucination guard drops anything the model invented.
{
"extract": {
"rounds": {
"type": "array",
"items": {
"company": { "type": "string", "required": true },
"round": { "type": "string", "enum": ["Pre-Seed", "Seed", "Angel", "Bridge",
"Series A", "Series B", "Series C", "Series D", "Series E",
"Growth", "Debt", "Grant"] },
"amount_usd": { "type": "number" },
"lead_investor": { "type": "string", "nullable": true },
"other_investors": { "type": "array", "items": { "type": "string" } },
"sector": { "type": "string", "enum": ["AI", "Devtools", "Fintech", "Healthcare",
"Biotech", "Climate", "Consumer", "Enterprise SaaS", "Crypto",
"Defense", "Other"] },
"announced_at": { "type": "string", "nullable": true }
}
}
}
}vs. PitchBook: $2,500+ / user / mo.
Every product listed above exists because the underlying data was hard to get. Newsletters give you that data for free. Inbin structures it.
1,000 events / month, no card required. Private beta.