--- url: "https://predictiontoolkit.com/tools/airavat/" publisher: "PredictionToolkit" dateModified: "2026-11-03" --- [← Wallet tracking]() ![Airavat logo]() Analytics # Airavat: Trader Filters, Alerts and Paper Pods Airavat is a private-alpha Polymarket research workspace linking trader analytics to reusable filters and pods. Pods either deliver matching events or simulate trades; paper activity does not use real trading capital. [**3.0**/ 5Editorial rating]() [Editorial assessment]() [Open Airavat]() airavat.xyz **Available on:** Web **Pricing:** Pricing not confirmed [Screenshots]() [Explore alternatives]() **Availability: restricted** [Wallet tracking]() [Paper trading]() +4 more [Alerts]() [Risk management]() [Resolution]() [Leaderboards]() ## Screenshots and interface Product preview1 / 3 Public introduction and access route. ## What is Airavat? Trader Score is a 0–100 composite of performance, risk, consistency, edge and experience. The default view trails 180 days. Category and time slices recompute metrics, and a score requires 20 closed positions in the slice; missing scores are not zero performance. Saved filters have their own evaluation settings. Official guides differ: Traders describes Apply thresholds to category, while Sliced Metrics recommends a curated whitelist. Inspect the account control rather than assuming a saved filter inherits the table slice. P&L excludes fees, fills count individually, and current open positions differ in scope from period-specific closed counts. ### Who it is for - Testing wallet-selection rules. - Simulating allocation with explicit exposure limits. - Comparing traders in the same category and period. ## Metrics and coverage - **Trader Score** A 0–100 composite across performance, risk, consistency, edge and experience. - **Sliced analytics** Compare P&L, dollar-weighted win rate, Sharpe, Sortino and drawdown by category and time. - **Reusable filters** Define criteria, whitelists and blacklists. - **Alert pods** Send matches to email or Activity. - **Paper copy pods** Simulate sizing, scale-ups, proportional exits and position limits. - **Manual paper pods** Trade simulated positions without a filter. - **Resolution research** Explore analysis modes, disputes and rule changes. - **Sample eligibility** Default 180-day window; Trader Score requires 20 closed positions in a slice. - **Metric scope** P&L is gross of trading fees; frequency counts fills, so a split fill can add several events. ## Analysis workflows ### Build a paper strategy Choose a slice and shortlist traders. Save criteria, check the filter's own window and attach a paper pod with capital and exposure limits. ### Validate selection Attach an alert pod first to inspect matches, then simulate with a paper pod on the same filter. ### Compare consistently Use the same category and period, check closed-position samples and separate realised P&L from unrealised holdings. Inspect threshold scope before saving. ## Pricing and total cost Access is private alpha. Plans limit active pods; the public access flow does not show a complete price table. ## Data inputs and access 1. Request access and open Traders. 2. Choose category/time and criteria. 3. Save a filter and confirm its evaluation window. 4. Create an Alert, Paper Copy Trade or Paper Discretionary pod. 5. Set simulated capital, sizing, exposure and exits, then inspect results. [Read Airavat documentation]() [Read trader metrics and table scopes]() [Read slice eligibility and refresh cadence]() ## Useful links ### What to check - The attached filter and an alert's delivery method cannot be changed after creation. - Email is capped at 6 per hour or 144 per rolling day; additional matches are skipped until the window advances. - Saved-filter settings can differ from table slices; official guides disagree on preserving a narrow slice. - Paper trading does not execute live copies. - Paper pods use simulated funds and are not live copying accounts. A closer look ## Ratings & reviews Editorial rating **3.0**/ 5 0 user reviews PredictionToolkit editorial ### Our take on Airavat Trader filters and simulated pods form a useful research workflow. Private-alpha access, alert caps and incomplete public pricing complicate use as a regular dependency. **Assessment criteria:** Task usefulness, documented scope, setup clarity, and access and cost transparency. **Assessment date:** 2026-10-01 **Documentation reviewed:** 2026-10-01 Documentation-based assessment. [How we rate]() ### User reviews 0 The main score switches to user ratings after 5 published reviews. **Be the first to share your experience** A specific example helps the next person choose the right tool. ## Related tools [Browse category]() ![Marketlens SDK example and research modules]() ![Marketlens logo]()[Marketlens]() Data API**4.0**Editorial Export Polymarket history and replay Python strategies with stated latency, queue and fill assumptions. - Access API Compare historical book replay for Python strategies. ![Polycopy trader discovery with filters and copying metrics]() ![Polycopy logo]()[Polycopy]() Trading bot**4.0**Editorial Explore trader activity, rehearse a copying strategy with paper bots, or automate live orders with your own budget. - Trading mode Paper · Manual · Live automation - Access Web Compare paper copying in a simpler consumer workflow. ![Sirtio trader-score leaderboard preview]() ![Sirtio logo]()[Sirtio]() Analytics**3.5**Editorial A public ranking that adjusts realized returns for consistency and sample size, with provisional scores for smaller records. - Access Web Compare a different trader-ranking methodology. ## Frequently asked questions about Airavat ### Do paper pods need my trading funds? No. They use simulated capital. ### How do filters and pods differ? A filter selects events; a pod alerts or simulates an action. ### Can I trade manually in paper mode? Yes. Paper Discretionary pods do not need a filter. ### Why can an active trader have no score? A slice needs 20 closed positions for Trader Score; recent fills do not establish enough observations. ### Are metrics as fresh as Last activity? No. Last activity updates faster. The slicing guide describes roughly daily refreshes for active traders and a separate batch catch-up process. In this profile