Use Cases

Prediction-market intelligence for professional teams.

Different teams use prediction markets for different reasons — trading, monitoring, citing, or integrating them into products. Beatpoly helps each team answer the same core question: can this market price be trusted?

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📈 Funds & Prop Shops

Find signals that survive execution and settlement risk.

Prediction markets can expose real-time sentiment, probability shifts, and event-driven opportunities. But apparent edge often disappears after spreads, slippage, fees, thin depth, or resolution ambiguity.

Beatpoly helps trading and research teams evaluate whether a market is actually tradable before capital is deployed. We model the full cost of a trade — not just the displayed price — and flag when resolution rules create hidden risk.

  • Screen markets by reliability and liquidity quality before entry
  • Estimate execution cost before sizing a trade
  • Detect fake cross-venue arbitrage before it destroys capital
  • Monitor resolution-risk changes near settlement
  • Flag markets where price movement may be distorted by thin depth or concentration
Reliability Rating Execution Cost Estimate Depth & Spread Cross-Venue Equivalence Settlement Risk
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Execution cost model

Before you trade, Beatpoly estimates spread, slippage, and fee impact at your intended size. A trade that looks positive on the surface may be deeply negative after friction.

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Resolution risk before settlement

Markets can move sharply near settlement when resolution criteria are ambiguous. Beatpoly flags this risk before it becomes a position problem.

Cross-venue basis risk

Similar markets on Kalshi and Polymarket often resolve against different sources. Cross-venue price gaps are usually basis risk, not free arbitrage.

🔐 Compliance & Risk Teams

Monitor prediction markets as a new information-risk surface.

Event contracts create new compliance questions. Markets can move around political decisions, corporate events, government actions, litigation, military events, and economic data releases.

Beatpoly helps risk teams monitor abnormal movement, insider-risk categories, concentrated wallet activity, and markets that may create reputational or regulatory exposure. Every flag comes with an evidence trail for audit documentation.

  • Monitor sensitive event categories for abnormal movement
  • Detect unusual pre-announcement activity
  • Track markets exposed to material non-public information
  • Create watchlists for high-risk people, entities, or event types
  • Document why a market was flagged — for audit and regulatory purposes
Abnormal Flow Alerts Insider Risk Flags Concentration Signals Market Integrity Summary Audit Trail
Regulatory context: The CFTC has identified insider trading, market manipulation, and abusive practices as active concerns in regulated prediction markets (CFTC advisory, 2026). The CFTC also settled charges against Polymarket in January 2022 (Release No. 8478-22). Three congressional candidates were suspended by Kalshi for wagering on their own elections. A U.S. special forces soldier was charged with using classified information to win over $400,000 on Polymarket (AP, 2026).
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Pre-catalyst movement detection

Beatpoly monitors for price moves before known announcement windows. A market that moves before public news is a signal — and a compliance risk.

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Wallet concentration signals

Concentrated activity from a small set of new wallets before an event is a specific integrity risk pattern. Beatpoly surfaces these signals automatically.

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Audit trail documentation

Every Beatpoly flag includes the evidence behind it: what moved, when, by how much, and what the public catalyst was. This is usable for compliance documentation.

📰 Media & Research Desks

Know which prediction-market prices are reliable enough to cite.

Prediction-market odds can be useful public signals, but not every market deserves to be quoted. A price may be moved by low liquidity, unclear rules, a small number of traders, or a resolution source that does not match the story being reported.

Beatpoly helps journalists, analysts, and research teams add context before using market prices in public-facing work. We provide a structured citation-readiness assessment for any monitored market.

  • Check whether a market is liquid enough to cite without distortion risk
  • Identify resolution wording that changes the meaning of the price
  • Compare similar markets across venues before selecting one to report
  • Detect whale-driven or abnormal movement before citing a spike
  • Add reliability context to charts, reports, and live coverage
Citation Readiness Liquidity Summary Resolution Clarity Cross-Venue Comparison Plain-English Notes
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Liquidity quality check

A 74% market price from a thin, low-volume market is not the same as a 74% price from a deep, actively traded market. Beatpoly tells you which is which before you publish.

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Resolution wording clarity

The contract rules determine what the market is actually predicting. Beatpoly surfaces ambiguity and wording risk that changes the meaning of a quoted probability.

Whale-move filter

A price spike driven by one large position is not the same as broad market consensus. Beatpoly's concentration signals help reporters distinguish broad market movement from concentrated or potentially distorted activity.

🔗 Data Platforms & Market Operators

Enrich raw prediction-market feeds with reliability metadata.

Raw prices, volumes, and order books are only the first layer. Products built on prediction-market data need context: market quality, rule clarity, liquidity depth, and integrity signals.

Beatpoly adds structured reliability metadata that can be integrated into dashboards, APIs, internal risk systems, and customer-facing analytics. Our scores are designed for downstream use — not just for reading.

  • Add reliability scores and risk flags to existing market feeds
  • Flag markets with high settlement ambiguity before they cause product issues
  • Power watchlists, alerts, and monitoring features
  • Improve market search and ranking with reliability-weighted metadata
  • Support compliance and monitoring workflows for enterprise customers
Market Reliability Score Risk Flags Normalized Evidence Fields API-Ready Metadata Category Reliability Index
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Structured for integration

Beatpoly API responses are JSON-native, field-consistent, and designed to enrich existing data feeds without requiring major infrastructure changes.

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Category-level reliability index

Beyond individual markets, Beatpoly maintains category-level reliability baselines. Useful for product ranking, market discovery, and portfolio-level risk assessment.

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Monitoring for customer products

Build compliance, risk, and research tools for your customers on top of Beatpoly's intelligence layer — without maintaining your own scoring infrastructure.

One engine, different workflows

How different teams use the same platform.

TeamPrimary needKey Beatpoly outputsPrimary API endpoints
Funds & Prop ShopsExecution quality, tradability, cross-venue safetyExecution cost, liquidity score, cross-venue equivalence, resolution risk near settlement/reliability, /liquidity-quality, /cross-venue, /execution/simulate
Compliance & RiskAbnormal flow, insider-risk categories, audit trailIntegrity alerts, concentration flags, pre-catalyst movement, evidence documentation/alerts/abnormal-flow, /integrity, /markets/{id}/reliability
Media & ResearchCitation readiness, liquidity context, resolution clarityReliability rating, liquidity quality, wording flags, plain-English market notes/markets/{id}/reliability, /markets/{id}/resolution-risk
Data PlatformsEnrichment fields, risk flags, reliability metadataFull reliability profile, risk flags, normalized evidence, category index/markets (bulk), /markets/{id}/reliability, /alerts/abnormal-flow

Use prediction-market data with context.

Beatpoly helps professional teams separate reliable signals from distorted markets, ambiguous rules, and abnormal information flow.

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