Pricing

Pay for what you actually use.
Honest tiers. No upsell traps.

We're in Phase 0 — the prices below are indicative and design-partners pay less. The product earns its price by saving you the weeks you'd otherwise spend stitching five APIs together.

Researcher

For solo quants & academics

$99/mo
  • Daily Parquet dumps (1 venue)
  • 1y rolling history
  • Resolution data + outcomes
  • Public API, 10 rpm
  • Email support
Request access

Pro

For mid-size funds & market makers

$1,999/mo
  • Everything in Quant
  • Tick-level orderbook replay
  • WebSocket live feed
  • REST API, 300 rpm
  • SLA + uptime monitoring
  • Custom backfills on request
  • Direct line to founder
Talk to us
Enterprise

Multi-fund, market-maker, or institutional

Volume licensing, dedicated infrastructure, custom SLAs, on-prem deployment if needed. We've kept the schema clean precisely because institutional consumers don't tolerate bespoke per-vendor parsing.

Schedule a call
Phase-0 design partner

Help us shape the product. Pay less. Get heard.

Phase-0 design-partner spots: pay $500/mo (instead of $499 + $1,999 list) for 6 months in exchange for monthly feedback calls. We optimize the schema and the tooling around your specific workflow.

What we want from you: 30 minutes/month, ad-hoc Slack questions, and the right to cite (if you wish) that your fund/lab uses the dataset.

What you get: early-access pricing locked through 2027, schema input, custom backfills on the venues you actually trade.

FAQ

Honest answers.

Is the data redistributable?

Internal use within your firm: yes. Redistributing or reselling the raw dataset: no. Derived signals and research output: yes. We'll send the full license terms with access; ask before you build anything that surfaces our data to third parties.

What's the venue ToS situation?

Kalshi and Manifold expose public APIs; we operate within their rate limits. Polymarket on-chain data is public by definition (we read Polygon directly). Where a ToS is ambiguous we err conservative — see the About page.

How fresh is the data?

Live workers update the canonical schema continuously (Kalshi WebSocket, Manifold and Polymarket short-poll). Daily Parquet drops cover T-1. Pro tier gets a WebSocket feed close to live. The recon log entry tells you the lag at every poll.

Can I see a sample first?

Yes — five real markets, three Parquet files (~24 KB total), readable by pandas, polars, and duckdb. Email us with one line about your use case and we'll send the link plus a sketch of what production access would look like.