oracle.the-undesirables.com

Grade a trading card from UPLOADED IMAGE BYTES — multipart or base64, no public URL required. Accepts JPEG, PNG and HEIC/HEIF so iPhone photos work directly. The image is never stored: it is decoded in a temp directory deleted immediately after grading, and EXIF (including GPS) is stripped on decode. Same 3-stage pipeline and price as GET /api/v1/grade. INPUT REQUIREMENT: a direct macro photo of the RAW card — slab/listing photos are not supported (blind study 2026-08-31: /api/v1/accuracy blind_slab_study).

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. INPUT REQUIREMENT: a direct, well-lit macro photo of the RAW card. Photos through slab plastic or marketplace listing photos are NOT a supported input — our own published blind study (2026-08-31, 300 slabbed cards, see /api/v1/accuracy blind_slab_study) showed the pipeline cannot discriminate grades through slab glare.

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.

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.

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.

Conformal 7-day player stat-line forecast: calibrated lo/mid/hi bands for a player's counting stats (hits, HRs, RBI, walks, strikeouts), Heat and Form letter grades, and the on-chain proof pointer for the underlying panel. Bands are pooled-conformal, validated daily out-of-sample against the 90% coverage target. Player headshot included. MLB live; other leagues activate with their seasons.

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.

Monitor one funded card-collateral loan for its whole term: re-marked daily against the calibrated board, HMAC-signed webhook on liquidation breach, margin call, regime shift, risk widening or lost coverage. Silent while healthy. Not financial advice.

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.

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.

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.

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.

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.

The Decision Endpoint (JSON-body variant): identical to GET /api/v1/verdict for agents that POST — comps + calibrated forecast + grade-ROI + market stance in one call.

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.

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.

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.

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.

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