Product type
Alphascope: Ready-to-use prediction-market research application.
Tatum Prediction Markets API: API product with normalized Polymarket and Kalshi endpoints.
Primary workflow
Alphascope: Browse, compare, interpret, and investigate markets in the UI.
Tatum Prediction Markets API: Fetch JSON and build a custom bot, dashboard, application, or data pipeline.
Coverage model
Alphascope: Opinionated research features and supported market pages.
Tatum Prediction Markets API: A common endpoint family with some platform-specific features, such as Polymarket-only wallet positions.
Usage cost model
Alphascope: Product pricing rather than per-endpoint engineering credits.
Tatum Prediction Markets API: API-key plans and request credits; individual endpoints can consume different amounts.
What Tatum's Prediction Markets API does
Tatum documents a v4 prediction data API that presents Polymarket and Kalshi through a shared endpoint structure. Current examples cover events, markets, search, prices, spreads, order books, trades, and selected wallet or holder analytics.
One schema can simplify discovery and display logic, but the source platforms still differ. Polymarket has wallet-address and outcome-token concepts that do not map cleanly to Kalshi. Tatum marks some endpoints, including top-holder positions, as Polymarket-only.
Unified does not mean identical
A developer must preserve platform provenance, native IDs, timestamps, price semantics, fees, and resolution rules. A normalized response can hide differences if the application treats every market as interchangeable.
The same is true for cross-platform search: two results can share a topic yet differ by deadline, threshold, settlement agency, or outcome set. Contract equivalence needs explicit validation before arbitrage or routing.
When Alphascope is the better fit
Use Alphascope when the desired output is a decision-support experience rather than an API response. The product combines odds with AI forecasts, market-linked news, topic pages, and cross-platform research paths without requiring the user to host a database or interface.
- Choose Tatum for embedded data and custom application control.
- Choose Alphascope for a finished human research workflow.
- Budget for request credits, caching, retries, and source changes when building.
- Test endpoint freshness and platform-specific coverage with real target markets.
Tatum prediction markets API vs Alphascope FAQ
What is the Tatum Prediction Markets API?
It is a unified API product for accessing normalized Polymarket and Kalshi events, markets, prices, order books, search, and selected analytics through one API key.
Does every Tatum endpoint support both platforms?
No. Some concepts are platform-specific. For example, Tatum documents its market-holder positions endpoint as Polymarket-only. Check support on each endpoint.
How is Tatum different from Alphascope?
Tatum returns data for developers to build with. Alphascope is a finished interface for researching odds, forecasts, news, and related markets.
Can Alphascope provide a Tatum API key?
No. Tatum accounts, API keys, credits, and usage are managed directly through Tatum.
Before you use this Tatum prediction markets API vs Alphascope guide
A good prediction market guide should help you make a more precise decision, not just explain the headline. Before trading, convert the market price into an implied probability, read the resolution criteria, and compare the contract with nearby markets. If your thesis depends on a news catalyst, check whether that catalyst directly affects settlement or only changes short-term sentiment.
The same checklist applies across Bitcoin, elections, sports, and other event contracts. A trade can look attractive because the payout is large, but payout alone does not create edge. Edge comes from a better probability estimate than the current price, plus enough liquidity to enter without giving away the advantage through spread and slippage.
Checklist for applying the guide to a live market
First, confirm that the market title and resolution source match the event you intend to trade. Second, compare the live price with your own estimate and write down the difference in percentage points. Third, check liquidity and maximum loss before sizing the position. Fourth, review related markets to see whether the same information has already been priced elsewhere. Fifth, decide what evidence would make you exit or update the thesis.
Alphascope supports that workflow through the odds board, AI predictions, and news impact pages. Use this guide as the educational layer, then use the live pages to check whether the current market still matches the setup described here.
How to know whether the setup is still current
A guide can explain the structure of a market, but the live price decides whether the setup is still actionable. Check when the market last moved, whether new information has arrived since the guide was written, and whether the strongest catalyst has already been priced in. If the market has moved far in the direction of the thesis, the remaining return may be too small for the risk.
If the market has not moved despite relevant news, review the resolution criteria before assuming traders missed the story. The market may be ignoring the news because it does not affect settlement. The best use of any guide is to understand the mechanics, then verify the current contract and price before making a decision.
