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Public Quant Tooling Suite · 0 Tokens Consumed · Institutional Grade

Quantitative Prediction Market Tooling Suite

Two mission-critical public utilities built for prediction market arbitrage desks: forensically audit settlement oracles across Polymarket and Kalshi to prevent dual-leg divergence wipeouts, and model exact nonlinear variance taker fee curves down to the basis point.

Tools Available
2 Production
Supported Venues
6 Exchanges
API Token Cost
0 Tokens ($0.00)
Math Engine
Closed-Form

Dedicated Subpage Tools

Select a specialized quantitative utility

Each utility runs independently in its dedicated subpage with full state isolation, pre-configured presets, URL deep linking, and zero client clutter.

/tools/resolution-analyzerORACLE & SETTLEMENT AUDIT

Resolution & Settlement Oracle Comparator

Forensically analyze settlement oracle mechanisms, expiration cutoff timestamps, and contingency dispute clauses across Polymarket, Kalshi, and Limitless. Identify double-loss traps where both legs settle to $0.00 before deploying capital.

Core Audit Capabilities
  • UMA vs CFTC/BLS Verification: Detects asymmetries between decentralized dispute voting and federal statistical releases.
  • Timezone & Cutoff Alignment: Flags UTC vs EST cutoffs that expose delta during election night or Fed rate decisions.
  • Contingency Clauses: Audits protocols for federal government shutdowns, emergency recounts, and delayed reporting.
  • 4 Preset Case Studies: Fed Funds Nov 2026, CPI Inflation YoY, Senate Majority, and Bitcoin $100k EOY.
Zero Tokens · Open Access
Launch Oracle Comparator
/tools/arbitrage-breakevenNONLINEAR FEE SOLVER

Arbitrage Breakeven & Quadratic Fee Solver

Compute Kalshi's nonlinear variance taker curve 0.07 × C × P × (1 - P) and solve for exact maximum counterpart NO prices to guarantee 0%, +1.5%, or +3.0% net ROI when holding a primary Polymarket leg.

Core Solver Capabilities
  • Exact Regulatory Curve: Models the exact CFTC-approved parabolic fee formulation with $0.0001 precision.
  • Multi-Tier Alpha Targets: Inverts taker fee curves to output maximum counterpart pricing for 0.0%, +1.5%, and +3.0% net ROI.
  • Gross vs Net Spread Deconstruction: Separates raw spread from taker fee drag and capital hold costs in real time.
  • Probability Sensitivity Matrix: Tabulates counterpart pricing across 10¢ to 90¢ YES probabilities with contract volume scaling.
Exact Closed-Form Math
Launch Breakeven Solver
Tooling Architecture & Execution Modes

Free Browser Utilities vs. Automated Institutional Infrastructure

Our free web tools execute deterministic single-contract calculations in your local browser sandbox. For automated, multi-venue execution across live order book depth, NaxosData provides continuous real-time monitoring.

DimensionPublic Browser Tools (/tools/*)Quant Pro Infrastructure ($30/mo)
Target Use CaseAd-hoc manual trade validation & case studiesContinuous 24/7 algorithmic cross-venue arbitrage
Oracle Analysis EngineDeterministic keyword heuristic comparisonOpenAI Structured Outputs continuous automated clearinghouse
Market Coverage4 presets + custom user text entryAll 350+ live pairs audited in real time
Fee Curve ModelingClosed-form single trade formula10-level full L2 ladder slippage simulation ($50k+ notional)
Streaming & ExecutionLocal browser sandbox onlySub-millisecond WebSocket L2 tick streaming & REST API
Historical Tick Export0 rows/day (ephemeral)1,000,000 historical L2 tick rows / day (Parquet, CSV, JSONL)
Developer Cross-Connect

Automate these tools in Python

Call our oracle analyzer and quadratic fee solver directly inside your quantitative trading pipelines.

View Full SDK Docs
from naxosdata import NaxosClient

client = NaxosClient(api_key="nx_live_...")

# 1. Audit settlement fungibility for live pair
audit = client.oracle.compare(pair_id="FED-RATE-NOV26")
if audit.risk_level == "HIGH_RISK":
    print(f"Warning: Settlement bifurcation detected ({audit.summary})")

# 2. Solve exact counterpart pricing with Kalshi quadratic fee
solver = client.fees.kalshi_breakeven(
    poly_yes_price=0.58,
    target_net_roi=0.015,  # 1.5% target alpha net of taker fees
    contracts=2500
)
print(f"Max Kalshi NO price: ${solver.max_counterpart_price:.4f} (Net ROI: {solver.net_roi:.2%})")

Institutional Automation

Deploy automated multi-venue arbitrage with real-time L2 depth

Stop manually checking web pages. Stream live synchronized multi-venue order books via WebSocket and Parquet archive bridges with sub-millisecond execution.