Captured history, delivered for your workflow.
We continuously store the raw market events our pipeline captures. Tell us the datasets, markets, date range, and format you need; we verify coverage and prepare the export manually.
value_at(N) =
- balanceOf(addr, N)raw ERC-20, static across actions
- uiMultiplier_at(N)the term everyone else skips
- price_at(N)session-aware, venue-weighted
- Tokenized equities tracked
- 200+
- Corporate-action types
- 13
- Published invariants
- 9
Every historical response carries the multiplier it applied and the block that multiplier was valid at · as of 2026-08-27
Six datasets. One row per event.
Raw captured events, down to individual order-status events and book deltas. Coverage depends on the dataset and the date capture began.
Raw financial values retain exact decimals; wallet attribution and retained coverage vary by dataset. Field-level schemas →
Backtest on history, deploy on live, zero remapping.
The archive and the live gRPC streams are two views of one pipeline. Raw exports preserve the live fields and their decimal-string encoding, with archive metadata added for time and block height. That keeps historical loaders close to the live handlers you deploy.
Archive row · trades dataset
manual Parquet / CSV / JSONL export
Live message · StreamSwaps
stream.robinhoodrpc.io:443 · gRPC
Hover a field. It is the same field, byte for byte, on both sides. Raw export fields stay aligned with the stream field model.
Exact decimals for raw financial values.
Most data vendors hand you float64 and call it precision. Floats cannot represent most decimal prices. The error is tiny per row and systematic across a backtest, which is the worst possible combination for anyone measuring edge in basis points.
Raw prices, sizes, fees, and PnL values are stored as exact decimals rather than binary floats. Calculated or aggregated datasets are described separately when you request them. At ~100ms block times, and with a multiplier that changes under you, “close enough” is not a storage format.
The same arithmetic, two storage models
float64 results reproducible in any IEEE-754 runtime
One fill: notional = px × sz
67012.0 × 0.14523
- float64drift
- 9732.152759999999
- archiveexact
- 9732.15276
One million 0.001 fees, summed
Σ 0.001 × 1,000,000
- float64drift
- 999.9999999832651
- archiveexact
- 1000.000
This is the arithmetic a backtest runs millions of times. The archive stores decimals, so the error is never there to compound.
Request the data shape you need.
Historical access is handled manually today. We confirm captured coverage before agreeing the dataset, date range, format, and delivery method.
Manual export
Request captured raw data by dataset, markets, and date range. We verify coverage, prepare the files, and arrange delivery.
Available on request
Custom dataset
Request OHLCV, wallet PnL, funding, liquidation, or another agreed shape built for a specific research or analytics need.
Scoped and quoted per request
Recent stream replay
Scale customers can replay captured stream data from a recent block within the last 6 hours, then continue live.
Scale · up to 6 hours
Captured continuously. Growing daily.
We report what the pipeline has captured, not a chain-genesis guarantee. Confirmed coverage depends on dataset and date range.
0+
tokenized equities
0
corporate-action types
0
venues consolidated
0
published invariants
Every figure above is checkable against Robinhood’s own public endpoints, as of 2026-08-27. Need a specific range or data shape? Ask us to verify coverage before delivery.
Request the output your workflow needs.
These are examples, not prebuilt self-serve tables. We confirm captured coverage, calculations, schema, and delivery before accepting a custom build.
Historical data, answered.
Coverage, formats, schema parity, and how the archive relates to the live feeds.
A data and RPC provider for Robinhood Chain. We stream real-time market data over gRPC, serve Robinhood Chain/the equities REST API RPC, and prepare historical exports and custom datasets on request.
All of them: perpetuals, spot, and HIP-3 / pre-market, including new listings. Currently 462 markets and growing.
Raw prices, sizes, PnL, and fees preserve their exact decimal representation rather than being converted to binary floats. Calculated or aggregated fields are documented separately.
Yes. We continuously store captured raw events and prepare Parquet, CSV, or JSONL exports manually on request. We verify dataset and date-range coverage before committing to delivery.
Scale can start a stream from a recent block within the last 6 hours, catch up, and then continue live. Request older captured data as a manual export.
Coverage varies by dataset and by the date capture began. Send us the dataset, markets, and range you need; we verify retained coverage before scoping a manual export.
Parquet, CSV, and JSONL can be requested for manual delivery. The delivery location and file layout are agreed during scoping.
Raw exports preserve the live event fields and decimal-string encoding, with archive metadata such as time and block height added where available.
Yes, on request. OHLCV, wallet PnL, liquidation, and funding outputs are examples. We first verify captured source coverage, then agree the calculations, schema, format, and delivery scope.
Tell us what history you need.
Send the datasets, markets, date range, and preferred format. We will verify coverage and scope the delivery.