Analytics and monitoring decision
PolyHistorical
A technical user can reproduce a usable subset (archived snapshots + REST API + simple replay) but cannot cheaply match the product's continuous 300ms end-to-end capture, full historical archive, throughput SLAs, and polished AI/enterprise features that differentiate the paid offering.
Visit website↗$17/mo
$204/yr
Read off the official pricing page.
$100one-off120 h to build
$0/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 1 seat.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All PolyHistorical alternatives, with the arithmetic →
What a replacement has to do
- Ingest Polymarket order book snapshots and reference prices, persist time-series depth, expose a paginated REST API to fetch snapshots and market metadata, and implement a minimal strategy-replay/stepper for tick‑by‑tick simulation.
What it still won’t have
- Production-grade, continuously captured 300ms coverage for every active Polymarket market
- Complete historical archive and long-term retention guarantees
- Priority support, enterprise endpoints, and high throughput SLA
- Polished UI and built-in AI backtest agent features
What remains hard
- Proprietary data
The product captures the full Level-2 order book at 300ms intervals for every active market, including bid/ask depth, UP/DOWN token prices, and BTC/ETH/SOL reference prices from Binance and Chainlink.
- Proprietary data
Complete archive — markets stay available forever after resolution, with winners, final volumes, and settlement metadata preserved.
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 1 seat.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal Polymarket order-book historical API using Python (FastAPI), ClickHouse (or TimescaleDB), and a small worker (aiohttp) for ingestion. Core features in scope: ingest Polymarket order-book snapshots and Binance/Chainlink reference prices at 300ms when available (simulate or backfill if live feed missing), store compressed depth per timestamp, implement REST endpoints for market list, snapshot query with pagination and optional depth parameter, API key auth with per-key rate limits, and a deterministic strategy-replay endpoint that steps through stored snapshots and returns fills, PnL, and slippage. Out of scope: multi-tenant billing UI, enterprise dedicated infra, paid gateway integration, and AI strategy generation. Include error handling for dropped snapshots, retry/backoff for upstream feeds, automated ingestion tests, and unit tests for replay logic.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 5 cited sources+3
- Price verified on pricing page+3
- Hard moats found in the evidence-3
- Evidence score60
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 5
Every page the run actually retrieved.
- official productPolyHistorical - Polymarket Historical Data API
- official pricingPricing | PolyHistorical
- official docsFeatures | PolyHistorical
- open sourceopenobserve/openobserve
- open sourcehyperdxio/hyperdx
Integrity checks
What held up, and what did not.
