The private market, as a data plane for AI agents. One coverage universe — every US stock and ETF plus 2,300+ private companies and 350+ VC/PE firms — behind three doors an agent can actually walk through: a one-click MCP connector, a self-serve REST API, and a paid endpoint that needs no account at all. No seat license. No sales call. Every fact dated, sourced, and graded in public.
Connect your AI in one click REST API docs llms.txt180+ tools over OAuth — signals, fundamentals, options flow, private-market valuations, investor graphs, IPO research. No API key to provision; works with Claude, ChatGPT, Cursor, and any MCP client.
https://quantlogix.ai/api/mcp
Versioned /api/v1/* with self-serve ql_ keys, a zero-dependency JS SDK, and the ql CLI. Provision a key from your profile — no contract, no procurement cycle.
curl -H "Authorization: Bearer ql_..." \ https://quantlogix.ai/api/v1/ask -d q=...
One grounded answer for $0.50, settled in-band over the open Machine Payments Protocol. The payment is the authentication — nothing to sign up for. Agents can also refill their owner’s AI credits the same way.
POST /api/v1/agent-pay/answer?q=... → HTTP 402 → pay → answer + receipt
Data platforms assert; this one shows its work. Every valuation carries its date and source. Paid answers ship a SHA-256-stamped answer_record. Directional stances are graded against the tape at T+30 and published — hits and misses with equal billing. The private-market price series is graded forward-only against the next priced round, against the only baseline that matters: would you have done better just quoting the last round?
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every one hash-stamped
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against real prices at T+30
QL Ledger — every call SHA-256 chained · Private Price — the graded valuation series · Signal Truth — verified receipts
The private-market deep-enrichment pass sweeps the roster — valuations, leadership, secondary prints — with per-field provenance.
The private-market daily pipeline turns filings, rounds, and tenders into dated, sourced events. Public-market signals recompute on market data continuously.
Every mark carries its as-of date and anchor, so staleness is visible instead of hidden — the honest alternative to quietly serving last year’s round.
Seat-licensed incumbents like PitchBook are excellent databases sold to humans. This plane is built for the agent as the first-class consumer — and the comparison below concedes the row they win.
| Seat-licensed incumbents | QL Agent Data Plane | |
|---|---|---|
| Access model | Annual per-seat contracts, sales-mediated; list pricing publicly reported in the tens of thousands per seat per year | Self-serve — free tier, Pro subscription, or $0.50 per answer with no account at all |
| AI / MCP access | MCP connector gated on holding a licensed seat | One-click OAuth for any MCP client — no seat, no sales call |
| API | Enterprise agreements; no self-serve key | Self-serve REST + SDK + CLI, provisioned from your profile |
| Accuracy record | Not published | Forward-graded in public — hits and misses with equal billing, hash-chained |
| Payments an agent can make | None — a human signs the contract | HTTP-402 over the open Machine Payments Protocol; the agent pays in-band |
| Breadth | Millions of companies — if you need the long tail, they win | 2,300+ private companies + every US stock and ETF — the names agents actually ask about, re-enriched every 6 hours |
Incumbent characteristics are based on publicly available information as of August 2026 and may change — verify with the vendor. QuantLogix deliberately does not compete on long-tail breadth.
Market intelligence, not investment advice. MCP and REST access are metered on the account’s plan; pay-per-answer settles via Stripe under the Machine Payments Protocol. The accuracy record and its grading methodology are public — start at the QL Ledger.