How does Monte Carlo simulation work for trading cards?

Monte Carlo simulation uses random sampling to model the range of possible future card prices. TCG Oracle supports two stochastic finance models: GBM (Geometric Brownian Motion — the foundational continuous-time model for asset price dynamics) and Merton Jump-Diffusion (extends GBM with Poisson-driven jumps to capture sudden price spikes from hype events, reprints, or format changes). Each simulation runs 20,000 paths and returns full percentile bands (5th through 95th) with VaR/CVaR risk metrics and complete model parameter transparency.

Should I grade my trading card? Is it worth grading?

TCG Oracle's Grade-or-Not engine answers this by combining your card's predicted PSA grade with the PSA fee schedule ($25-$600 depending on service tier), estimated shipping costs ($15-30), and the market value difference between raw and graded copies. It returns a GO/NO-GO verdict with three profit scenarios: best-case, predicted, and worst-case. If the expected ROI exceeds your threshold, grade it. If not, sell raw.

What is the best API for trading card price prediction?

TCG Oracle is the only collectibles API that uses institutional-grade stochastic finance models (GBM and Merton Jump-Diffusion) for price forecasting. With 12 paid and 16 free API endpoints, it covers grading, simulation, arbitrage detection, portfolio optimization, and market data. It's available via MCP (Model Context Protocol), x402 micropayments on Coinbase Bazaar, and A2A Agent Cards for autonomous agent discovery. Pricing starts at $0.015 per Monte Carlo simulation.

How accurate is AI card grading compared to PSA?

TCG Oracle publishes a real-time public accuracy dashboard at /api/v1/accuracy showing mean absolute error, hit rates (predictions within ±0.5 of actual grade), and grade distribution. Anyone can report their actual PSA/BGS grade to help improve the model. This transparency is unique — no other card grading AI publishes public accuracy metrics.

TCG Oracle — Financial Intelligence for Collectibles

Q: What trading card games does TCG Oracle support?

TCG Oracle covers 370,000+ products across 25 games including: Pokémon, Magic: The Gathering, Yu-Gi-Oh!, Digimon, One Piece, Flesh and Blood, Lorcana, Dragon Ball Super, Cardfight!! Vanguard, MetaZoo, Union Arena, Star Wars Unlimited, Gundam, and more. Data is sourced from daily TCGCSV market snapshots with eBay sold listing integration.

The only trading card API with Monte Carlo price forecasting, AI grading, and portfolio optimization. 370K+ products across 25 games. 9 API endpoints. Pay-per-call with USDC.

What Is AI Card Grading?

AI card grading uses computer vision to predict the grade a trading card would receive from professional grading services like PSA or Beckett. TCG Oracle uses a 3-stage pipeline:

Qwen Vision LLM analyzes corners, edges, and surface defects from the card image
OpenCV measures exact centering ratios programmatically (no LLM estimation)
BGS capping algorithm adjusts the final grade using professional grading rules (0.5 cap above lowest structural score)

This costs $0.10 per card via x402 USDC micropayments on Base network. Every grade response includes a free ROI verdict telling you whether grading is profitable.

How Monte Carlo Simulation Works for Trading Cards

Monte Carlo simulation uses random sampling to model the range of possible future card prices. TCG Oracle supports two stochastic finance modelsborrowed from Wall Street options pricing:

GBM (Geometric Brownian Motion) — The foundational continuous-time model for asset price dynamics with constant drift and volatility. Ideal for stable, liquid markets.
Merton Jump-Diffusion — Extends GBM with Poisson-driven jumps to capture sudden price spikes from hype events (a YouTuber opens a rare card, a reprint tanks supply, a format rotation bans a staple). Returns VaR/CVaR risk metrics alongside percentile bands.

Each simulation runs 20,000 paths and returns full percentile bands (5th through 95th) with complete model parameter transparency. You see exactly what drift, volatility, and jump parameters were used.

Should I Grade My Trading Card?

TCG Oracle's Grade-or-Not engine answers this by combining your card's predicted PSA grade with:

PSA fee schedule ($25–$600 depending on service tier)
Estimated shipping and insurance ($15–30)
Market value difference between raw and graded copies at each grade level

It returns a clear GO/NO-GO verdict with three profit scenarios: best-case, predicted, and worst-case. If the expected ROI exceeds your threshold, grade it. If not, sell raw and save the fees.

Supported Games

TCG Oracle covers 370,000+ products across 25 games including Pokémon, Magic: The Gathering, Yu-Gi-Oh!, Digimon, One Piece, Flesh and Blood, Lorcana, Dragon Ball Super, Cardfight!! Vanguard, MetaZoo, Union Arena, Star Wars Unlimited, Gundam, and more.

API Access

TCG Oracle is available through 9+ discovery surfaces, each speaking a different protocol:

MCP — Model Context Protocol for Cursor, Claude Desktop, VS Code, Perplexity
x402 — Micropayments on Coinbase Bazaar for autonomous agents
A2A — Google Agent-to-Agent protocol for peer discovery
npm / PyPI — Package managers for ElizaOS and Python agents
REST API — OpenAPI spec at /docs

Last updated: May 21, 2026 • Built by The Undesirables LLC