---
url: "https://predictiontoolkit.com/tools/telonex/"
publisher: "PredictionToolkit"
dateModified: "2026-11-03"
---

[← Historical data](<https://predictiontoolkit.com/polymarket-historical-data/>) 

![Telonex logo](<https://predictiontoolkit.com/assets/logo-telonex-f487d90339f9.webp>)

Dataset

# Telonex: historical trades, order books and on-chain fills

Telonex delivers historical prediction-market data through daily Parquet files, REST and a Python SDK, including trades, quotes, book events, snapshots and on-chain fills.

[**3.5**/ 5Editorial rating](<https://predictiontoolkit.com/tools/telonex/#reviews>) [Editorial assessment](<https://predictiontoolkit.com/tools/telonex/#reviews>) 

[Explore Telonex datasets and access](<https://telonex.io/>) telonex.io

**Available on:** API

**Pricing:** Plans distinguish personal-use historical downloads from commercial licensing.

[Screenshots](<https://predictiontoolkit.com/tools/telonex/#screenshots>) [Explore alternatives](<https://predictiontoolkit.com/tools/telonex/#alternatives>) 

**Availability: public**

[Historical data](<https://predictiontoolkit.com/polymarket-historical-data/>) [Data APIs](<https://predictiontoolkit.com/polymarket-api/>) +2 more

[Wallet tracking](<https://predictiontoolkit.com/polymarket-wallet-trackers/>) [SDKs & libraries](<https://predictiontoolkit.com/polymarket-sdks/>) 

## Screenshots and interface

Product preview1 / 2

The provider’s presentation of historical data inputs.

## What is Telonex?

For microstructure research, choose the relevant venue and channel rather than assuming one uniform history. Telonex lists Polymarket, Polymarket Perps, Predict.fun and Binance Spot, with separate start dates for each venue and data channel. Long on-chain coverage does not imply equally long order-book recording. Date-partitioned Parquet files can be loaded into DuckDB, Polars or pandas for your own analysis.

Snapshots initialize a market state, subsequent events reconstruct book changes, and reference ticks retain source and receive-time context. On-chain fills support wallet research but are a different record from captured order-book events. These are daily historical downloads, not a live execution feed or a supplied strategy backtest engine. Model LP rewards, fees and available depth separately, and confirm historical revision handling: point-in-time accuracy options are specifically listed for Enterprise.

### Who it is for

-   Quants reconstructing historical market microstructure.
-   Researchers studying wallet flows and execution records.
-   Developers building historical datasets with DuckDB, Polars or pandas.

## Features and coverage

-   **Tick-level trades**
    
    Inspect individual executed trades with timestamps.
    
-   **Order-book events**
    
    Reconstruct book changes rather than relying only on interval samples.
    
-   **Top-of-book quotes**
    
    Analyze how spreads change over time.
    
-   **Daily snapshots**
    
    Initialize a replay from a saved market state.
    
-   **On-chain fills**
    
    Study wallet-level activity on the supported chains.
    
-   **Crypto reference ticks**
    
    Compare source-price and receive timestamps when aligning reference data.
    
-   **Normalized Parquet**
    
    Load date-partitioned files into standard analytical tools.
    
-   **Public metadata**
    
    Browse market titles, outcomes, identifiers, status and tag datasets without an account.
    
-   **REST and Python SDK**
    
    Automate discovery and download of historical files.
    

## Workflows with Telonex

### Construct a replay

Select the venue, market, data channel and date range for the replay. Load a snapshot as the starting book, then process the following events chronologically so the reconstruction reflects book changes rather than a collection of disconnected quotes.

### Study a wallet

Combine on-chain fills and market metadata, keeping them distinct from recorded book events.

### Compare crypto markets

Before comparing crypto reference prices with prediction quotes, align both the reference source’s timestamps and the times the data was received. Interpret the aligned series under the relevant contract’s resolution rules rather than treating all price observations as interchangeable.

## Pricing and total cost

Plans distinguish personal-use historical downloads from commercial licensing.

### Free trial

$0

-   5 file downloads total
-   API key
-   Public metadata without an account

### Single Exchange

$99/month

-   Unlimited downloads for Polymarket or Predict.fun
-   Personal-use licence

### Pro

$199/month

-   All listed exchanges
-   Full Onchain Fills channel
-   Personal-use licence

### Enterprise

Custom

-   Commercial licence
-   Custom delivery
-   Point-in-time accuracy options
-   Unlimited API keys

## Getting started

**Before you start:** Historical download delivery is different from live execution data.

1.  Inspect the dataset catalog and sample files.
2.  Check the start date of every required channel.
3.  Create an account and API key for downloads.
4.  Download a small date partition.
5.  Validate event order, units and identifiers.
6.  Confirm the licence scope before using the data in a product.

Daily historical files are not a live execution feed.

## Useful links

### What to check

-   Historical download delivery is different from live execution data.
-   History begins on different dates for different venues and channels.
-   Point-in-time accuracy is specifically listed in Enterprise; confirm historical revision handling for the selected plan.
-   LP rewards, fees and executable depth require separate modeling in a backtest.
-   Personal-use plans do not replace the published Enterprise commercial licence.

A closer look

## Ratings & reviews

Editorial rating

**3.5**/ 5

0 user reviews

PredictionToolkit editorial

### Our take on Telonex

Daily files, event-level books and distinct channels support reproducible historical research. Venue and channel start dates and personal/commercial licences must fit both the analysis and intended reuse.

Based on documented features, setup and access terms. [How we rate](<https://predictiontoolkit.com/methodology/>) 

### User reviews 0

The main score switches to user ratings after 5 published reviews.

**Be the first to share your experience**

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## Frequently asked questions about Telonex

### Which file format is provided?

Parquet, organized into date partitions.

### Can I access metadata for free?

Market and tag datasets are listed as public without an account.

### Is 3 years of history available for every channel?

No. Coverage is channel-specific, and long on-chain history does not establish the same order-book history.

### Which plan covers firm or commercial use?

The published Enterprise licence provides commercial use; the paid Single Exchange and Pro plans are described as personal-use.

In this profile
