oracle.the-undesirables.com
13 resources listed under oracle.the-undesirables.com.
Source: https://api.cdp.coinbase.com/platform/v2/x402/discovery/resources · last updated 2026-09-18
Resources
NFT collection floor-price oracle: fetches real-time floors via Alchem
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.
Trending Cards Feed: returns the top trading cards by market activity
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.
Daily TCGCSV market data snapshot with top movers, price changes, and
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
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
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.
Grade-or-Not Decision Engine: answers 'will grading this trading card
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.
Batch Card Triage: upload multiple card image URLs and get a profit-ra
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, Clos
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.
Graded-slab lending terms: max LTV sized so a 99pc tail move over the
Graded-slab lending terms: max LTV sized so a 99pc tail move over the term keeps the slab above liquidation, plus liquidation price and liquidity tier (census depth). Live graded value basis (sales median or haircut ask); refuses unrateable collateral. Inputs trace to on-chain committed data. Not financial advice.
The Decision Endpoint: one paid call composing everything a collector
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.
Optimize a trading card portfolio with Markowitz mean-variance analysi
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.
Grade any physical Pokémon, Magic: The Gathering, Yu-Gi-Oh, or Digimon
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.
Conformal 7-day player stat-line forecast: calibrated lo/mid/hi bands
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.
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