--- url: "https://predictiontoolkit.com/tools/pendulum-flow-orderbook-archive/" publisher: "PredictionToolkit" dateModified: "2026-11-02" --- [← Historical data]() ![Pendulum Flow Orderbook Archive logo]() Dataset # Pendulum Flow Orderbook Archive: reconstruct books from captured events Pendulum Flow Orderbook Archive distributes public Polymarket capture files for local research. Its own multi-recorder V3 dataset sits alongside older mirrored captures, with format notes, manifests and coverage information to guide processing. [**4.0**/ 5Editorial rating]() [Editorial assessment]() [Open the archive and coverage index]() archive.pendulumflow.com **Pricing:** Public downloads are free without an account or API key. Donations support capture, storage and delivery. [Screenshots]() [Explore alternatives]() [Historical data]() ## Screenshots and interface Product preview1 / 2 Archive introduction and capture-era explanation. ## What is Pendulum Flow Orderbook Archive? The archive is organized into hourly Parquet files, letting you choose a bounded interval and read selected columns or row groups with DuckDB or another Parquet engine. Rebuilding depth needs both full book snapshots and subsequent price\_change rows; trade prices alone are insufficient. Capture eras must remain visible in any derived dataset. V3 includes receive-time, witness and sequence information, while earlier collectors differ in schema and fidelity. An hour awaiting publication is different from a missing recording; audit gaps and hour boundaries rather than assuming continuous coverage. ### Who it is for - Researchers rebuilding historical order books. - Engineers building local Polymarket datasets. - Analysts requiring inspectable provenance and gaps. ## Dataset scope and fields - **Hourly Parquet** Read a chosen hour without downloading everything. - **Snapshots and deltas** Combine book snapshots and price\_change rows for resting quantities. - **Trades and lifecycle** Access trade prices, new markets, resolutions and tick-size changes where recorded. - **V3 capture provenance** Inspect receive timestamps, witness fields and sequence data. - **Checksums and manifests** Verify file hashes and review event counts before processing. - **Coverage audit** Review absent hours and era-specific collection limits. - **Remote columnar reads** Use DuckDB or another reader to select columns and row groups. ## Data preparation and analysis ### Reconstruct one book Choose an audited V3 interval, load a snapshot and apply token-level changes in receive order, handling the hour boundary. ### Study size sensitivity Rebuild both sides, walk price levels for a chosen size and compare with the same-time midpoint. ### Keep an inspectable extract Store source paths, checksums, capture era and filters with the derived dataset. ## Pricing and total cost Public downloads are free without an account or API key. Donations support capture, storage and delivery. ## Dataset access and delivery 1. Select a time range in the coverage index and read that era’s format. 2. Inspect the hourly manifest and checksum, then query one market and a few columns. 3. Sort by the era’s time/sequence semantics and record missing intervals. [Read the V3 format]() ## Useful links ### What to check - Capture versions have different schemas and fidelity. - V3 receive timestamps use microseconds; older mirrored data commonly uses milliseconds. - Collector sequences are not global exchange ordering across machines. - Publication delay differs from a missing recorded hour. - Hourly files can exceed 1 GB; use a columnar engine rather than a spreadsheet. A closer look ## Ratings & reviews Editorial rating **4.0**/ 5 0 user reviews PredictionToolkit editorial ### Our take on Pendulum Flow Orderbook Archive Public files, checksums and explicit audits make the archive inspectable. Combining capture eras still requires careful treatment of schema and timestamp semantics. **Assessment criteria:** Task usefulness, documented scope, setup clarity, and access and cost transparency. **Assessment date:** 2026-10-01 **Documentation reviewed:** 2026-10-01 Documentation-based assessment. [How we rate]() ### User reviews 0 The main score switches to user ratings after 5 published reviews. **Be the first to share your experience** A specific example helps the next person choose the right tool. ## Related tools [Browse category]() ![DepthFeed v3 API introduction and dataset scope]() ![DepthFeed logo]()[DepthFeed]() Data API**4.0**Editorial Retrieve recorded book ladders, sports mappings and aligned price bars for research and replay. - Access API · MCP Managed historical-depth API. ![TickFoundry dataset entry page with an illustrative book ladder]() ![TickFoundry logo]()[TickFoundry]() Dataset**4.0**Editorial UTC market-day downloads and browser book-and-trade replay for studying how recorded execution costs change with order size. - Access Web · API Packaged market-day datasets and browser replay. ![Public archive index showing PMXT V1 and V2 capture windows]() ![pmxt archive logo]()[pmxt archive]() Dataset**3.5**Editorial Download earlier Polymarket book captures from the public mirror and inspect the coverage of each era. Earlier PMXT capture eras. ## Frequently asked questions about Pendulum Flow Orderbook Archive ### Must I download every hour? Choose a bounded range and filter Parquet columns and row groups. ### Which events reconstruct resting depth? Book snapshots plus price\_change deltas. ### Is it one uniform capture? No. Older eras use other collectors; inspect the version and audit. ### Can I verify downloads? Prefixes publish checksums; V3 hours also have manifests. In this profile