For most of their history, prediction markets have been a manual, click-driven experience. A user picks a side on an event, takes a position, and waits for resolution. That model scales fine for casual participants. Outpoll is a prediction market platform that provides API access and trading infrastructure for automated strategies. The platform provides public REST and WebSocket APIs with documentation covering automated trading workflows, including arbitrage strategies across multiple markets and external data sources.
This article examines how prediction market APIs support arbitrage workflows and automated trading strategies.
Arbitrage in prediction markets exists for the same structural reason it exists in any other market: prices for the same underlying probability can drift between venues, between related contracts, or between a prediction market and an external information source.
A few of the more common shapes:
None of these are unique inventions – they are the standard structural inefficiencies that exist in most relatively new markets, and they’re the same patterns quantitative traders have exploited in other asset classes for decades. One challenge for prediction markets has been whether platform infrastructure can support high-frequency and automated trading activity.

Outpoll publishes a full public REST API for orders, positions, balances, and market data, plus a WebSocket API for real-time order book, price, and account streams.
A few worth highlighting:
API access only matters if the underlying platform supports the strategies it enables. Outpoll’s market structure is fully collateralized at the contract level, with positions settled in USDC. Resolution rules and authoritative sources for each market are defined and published before the market opens, with platform-level oversight on quality. Trading fees are approximately 0.1% per trade – in line with industry norms, with no additional hidden charges in the order flow.
For arbitrage specifically, fee structure matters more than it does for directional trading. A 0.1% per-trade fee compounds across multiple legs of an arbitrage trade, and a strategy needs an edge meaningfully wider than the round-trip cost to be viable. Outpoll’s fee level keeps that math workable for tighter spreads than higher-fee venues would allow.
Arbitrage strategies often rely on speed of information access. Outpoll integrates a news section directly into the platform, aggregating relevant world news in one place. The intended path is straightforward: a development that’s relevant to a market becomes immediately visible to a trader watching the platform, with a position one click away. For arbitrage workflows that depend on detecting events before broader markets reprice, having the news layer sitting next to the trading layer reduces friction in the workflow.
Three things differentiate Outpoll for traders interested in running quantitative or arbitrage strategies:

A few practical notes worth flagging:
For most of the prediction market category’s history, the people who could have brought the deepest liquidity have stayed away – not because the markets weren’t interesting, but because the platform infrastructure wasn’t built for them. Some platforms, including Outpoll, are expanding infrastructure for automated trading workflows. For traders running quantitative strategies – whether arbitrage, market-making, or systematic directional models – the combination of a usable public API, transparent and collateralized market structure, in-line trading fees, and integrated news context is meaningful. These infrastructure developments may support broader participation from experienced market participants.
Outpoll is available globally at outpoll.com, with the native Android application available on Google Play, and full API documentation accessible through the platform’s help center.
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