GET/api/v1/arb-cross Scan for cross-platform prediction market arbitrage opportunities between Polymarket and Kalshi using Gen3 Neuro-Symbolic NLI matching. Identifies price discrepancies where the same event is priced differently across platforms, creating risk-free edge. | 0% | — | $1 |
GET/api/v1/arb-basket Find guaranteed-profit basket arbitrage in prediction markets by aggregating all NO outcomes. When the total cost of buying every NO contract is less than the guaranteed payout, the yield is risk-free. | 0% | — | $0.5 |
GET/api/v1/batch-triage Batch Card Triage (GET variant): pass comma-separated card image URLs as the image_urls query param and get a profit-ranked grading triage. Each card is AI-graded then scored by expected ROI from professional grading, ranked highest-profit first. Identical to the POST endpoint — this GET form exists so the CDP Bazaar can index it. | 0% | — | $0.5 |
GET/api/v1/portfolio-optimize Optimize a trading card portfolio using Markowitz mean-variance analysis with Merton Jump-Diffusion Monte Carlo simulations. Provide a list of card names, budget, and risk tolerance (conservative/moderate/aggressive) to receive optimal position sizing, per-card allocation weights, Sharpe ratios, and rebalancing recommendations. | 0% | — | $0.5 |
GET/api/v1/arb-weather Detect mispriced weather derivatives on Kalshi by comparing live National Weather Service forecast data against current contract pricing. Finds statistical edges in temperature, precipitation, and wind speed markets. | 0% | — | $0.25 |
GET/api/v1/grade AI-powered vision engine for grading physical Trading Card Game (TCG) assets like Pokémon and Magic: The Gathering to predict PSA and Beckett grades. | 0% | — | $0.1 |
GET/api/v1/grade-or-not Grade-or-Not Decision Engine: answers 'will grading this trading card make me money?' by combining AI grade prediction with PSA fee schedules, shipping costs, and graded market values to calculate expected ROI. Returns a clear GO/NO-GO verdict with best-case, predicted, and worst-case profit scenarios. | 0% | — | $0.1 |
GET/api/v1/coin-history Historical Token Simulator: Fetches OHLC (Open, High, Low, Close) token data from CoinGecko and applies Monte Carlo Heston simulation to project future trajectories. | 0% | — | $0.05 |
GET/api/v1/crypto-oracle Shroomy Web3 Oracle: Fetches real-time NFT/Crypto floor prices via Alchemy and performs Monte Carlo stochastic simulations for institutional forecasting. | 0% | — | $0.05 |
GET/api/v1/market Daily TCGCSV market data snapshot with top movers, price changes, and volume trends across all 13 supported TCG games. | 0% | — | $0.025 |
GET/api/v1/trending Trending Cards Feed: returns the top trading cards by market activity (30-day sales volume, views, price velocity). Covers all 25 supported TCG games. Useful for autonomous buy/sell agents tracking market momentum and identifying emerging opportunities. | 0% | — | $0.025 |
GET/api/v1/simulate Predict the future market value of any collectible trading card using stochastic finance Monte Carlo simulations. Supports GBM and Merton Jump-Diffusion stochastic models with Poisson-driven jumps. Returns full forecast percentiles (5th through 95th), model parameters, VaR/CVaR risk metrics, and confidence intervals. Covers Pokémon, Magic, Yu-Gi-Oh, sports cards, and any tokenized real-world asset. | 0% | — | $0.015 |