Overview
For traders looking to exploit price discrepancies across prediction markets, the Polymarket–Kalshi Arb Finder vs ArbBets comparison is a practical starting point. Both tools target the cross-market arbitrage space and include Kalshi — the CFTC-regulated US prediction market exchange — as a core supported platform. Each takes a different approach to surfacing and acting on mispricings between event contracts, and understanding those differences can help traders and developers choose the right fit for their workflow.
The Polymarket–Kalshi Arb Finder is an Apify actor — a cloud-based scraping and automation script — built specifically to scan for price gaps between Polymarket and Kalshi. ArbBets, hosted on the Polymark.et platform, is a broader arbitrage tool designed for prediction markets that also includes Kalshi coverage. Both are actively maintained, making them legitimate options for anyone serious about systematic arbitrage across prediction market platforms.
Polymarket–Kalshi Arb Finder vs ArbBets: Key Differences
| Feature | Polymarket–Kalshi Arb Finder | ArbBets |
|---|---|---|
| Primary Function | Scans for arbitrage opportunities between Polymarket and Kalshi specifically | Identifies arbitrage opportunities across multiple prediction markets including Kalshi |
| Target User | Developers and technical traders comfortable with the Apify platform | Prediction market traders seeking a ready-to-use web-based tool |
| Platform / Interface | Apify actor (cloud-based, configurable via Apify console or API) | Web application hosted on Polymark.et |
| Automation Level | High — can be scheduled and run programmatically via Apify's infrastructure | Not available |
| Pricing | Not available (subject to Apify's usage-based pricing model) | Not available |
| Key Strength | Focused, automated scanning between two specific markets with scheduling capabilities | Broader market coverage with a more accessible, web-based interface |
| Best For | Systematic traders automating a Polymarket–Kalshi arb strategy | Traders wanting a centralized dashboard for prediction market arbitrage |
When to Choose Polymarket–Kalshi Arb Finder
The Polymarket–Kalshi Arb Finder is the stronger pick for technically oriented traders who want to build automation around a specific two-platform strategy. Because it runs as an Apify actor, it can be integrated into larger data pipelines, scheduled at regular intervals, or triggered programmatically — making it well-suited for systematic approaches rather than manual monitoring.
- You want to automate recurring scans between Polymarket and Kalshi without manual intervention.
- You are comfortable working within the Apify ecosystem or want to extend the actor with custom logic.
- Your arbitrage strategy is specifically focused on price discrepancies between these two platforms and does not require broader market coverage.
When to Choose ArbBets
ArbBets is the more practical choice for traders who prefer a web-based interface and want coverage across multiple prediction markets from a single tool. It lowers the technical barrier to entry compared to configuring and running an Apify actor, making it accessible to a wider range of users who want actionable arbitrage signals without building infrastructure.
- You want a single dashboard that surfaces arbitrage opportunities across several prediction markets, with Kalshi included.
- You prefer a web application over configuring and managing a cloud-based scripting environment.
- You are evaluating multiple cross-market opportunities and do not want to limit your scanning to just two platforms.
Verdict
Both tools serve legitimate and distinct use cases in the Kalshi arbitrage space. The Polymarket–Kalshi Arb Finder is the better choice for developers and systematic traders who want programmable, schedulable scanning focused narrowly on the Polymarket–Kalshi pair. ArbBets has an edge for traders who want a broader, more accessible solution across multiple prediction markets without the overhead of managing an Apify environment. Since pricing details are not publicly confirmed for either tool, prospective users should evaluate both against their technical comfort level and the scope of markets they intend to monitor before committing.