The Undesirables Oracle

Daily TCGCSV market data snapshot with top movers, price changes, and volume trends across all 13 supported TCG games.

Predict the future market value of any collectible trading card with a conformal-calibrated risk forecast (default): regime-aware split-conformal bands fit on real holdout residuals, returning calibrated forecast percentiles (5th–95th), honest VaR/CVaR, and Safe-Hold/Momentum letter grades. Monte Carlo models (GBM / Merton Jump-Diffusion with Poisson jumps) are available opt-in via model=. Covers Pokémon, Magic, Yu-Gi-Oh, sports cards, and any tokenized real-world asset.

Observed graded-slab census for a card: how many PSA/BGS/CGC/TAG slabs of each grade are circulating on the open market, with cert-number-verified depth, 30-day active counts and median asks. This is NOT a pop report — pop counts every slab ever graded (including vaulted); this census counts what is actually listed and pressing on price. Harvested daily from eBay conditionDescriptors (grader+grade are marketplace-required fields), committed on-chain daily under a census domain tag.

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.

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.

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.

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.

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.

Batch Card Triage: upload multiple card image URLs and get a profit-ranked grading triage. Each card is graded by AI, then scored by expected ROI from professional grading. Returns a ranked list sorted by highest expected profit first. Perfect for dealers and agents evaluating collections.

Historical token price forecaster: fetches OHLC (Open, High, Low, Close) data from CoinGecko and projects forward trajectories with percentile forecasts. Uses Merton Jump-Diffusion modeling for this crypto-native asset class.

NFT collection floor-price oracle: fetches real-time floors via Alchemy and returns risk-aware price forecasts — current floor, historical volatility, drift, and forecast percentiles. Forecasting uses Merton Jump-Diffusion modeling for this crypto-native asset class. Supports any ERC-721 or ERC-1155 contract on Ethereum mainnet.

Grade any physical Pokémon, Magic: The Gathering, Yu-Gi-Oh, or Digimon trading card using a 3-stage AI pipeline: (1) Qwen Vision LLM analyzes corners, edges, and surface defects, (2) OpenCV measures exact centering ratios programmatically, (3) BGS professional capping algorithm adjusts the final grade. Returns PSA/Beckett-calibrated subgrades and an overall condition score. Accepts card image URLs or base64.

Calibrated per-card lending terms: max LTV sized so a 99pc tail move over the term keeps collateral above liquidation, plus liquidation price and liquidity tier (census depth, trading continuity). Honest value basis; refuses unrateable collateral. Inputs trace to on-chain committed data. Not financial advice.

Optimize a trading card portfolio with Markowitz mean-variance analysis over conformal-calibrated risk forecasts (Monte Carlo GBM/Merton available opt-in). 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.

The Decision Endpoint: one paid call composing everything a collector or agent needs to act on a card — live comps (raw + observed PSA/BGS/CGC graded asks), the conformal-calibrated 30-day forecast (median, 5th–95th bands, honest VaR, Safe-Hold and Momentum grades), and a grade-ROI answer, plus a deterministic MARKET STANCE grade. Composed from the same internals the individual endpoints serve, so it can never disagree with them. Not financial advice — a calibrated market read.