The Undesirables TCG Oracle
oracle.the-undesirables.com
· oracle.the-undesirables.com
AI-powered TCG card grading, Monte Carlo price simulation, and market intelligence. 370K+ products across 25 games. 28 API endpoints. Pay-per-call via x402 USDC on Base.
oracle.the-undesirables.com via a single DNS TXT record to add the
verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
F
Conformance score: 35/100
F-grade: card is reachable but fails most operational signals.
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agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 calls Public aggregate · no PII recordedNo calls observed in the last 7 days. Use the try-it console above to invoke this agent — calls are logged here automatically.
Endpoints
| Agent card | https://oracle.the-undesirables.com/.well-known/agent.json |
| Provider | https://oracle.the-undesirables.com |
| Docs | https://oracle.the-undesirables.com |
Skills · 16 declared · mapped to canonical taxonomy
Search 370,158 TCG products across 25 games. Free.
Daily TCGCSV market snapshots with top movers. Free.
3-stage grade pipeline: Vision LLM + OpenCV centering + BGS capping. Includes free ROI verdict. $0.10 USDC.
ROI analysis: PSA fee schedule × grade prediction × graded market value. Returns GO/NO-GO verdict with profit scenarios. $0.10 USDC.
Merton Jump-Diffusion stochastic price models with full parameter transparency. $0.015 USDC.
Top 50 cards by 30-day sales volume and price velocity. $0.025 USDC.
Finds cards where grading ROI exceeds threshold. $0.15 USDC.
Grade up to 20 card images and rank by expected profit. $0.50 USDC.
Markowitz mean-variance with Kou jump-diffusion Monte Carlo. $0.50 USDC.
Alchemy NFT floor pricing + Monte Carlo forecasting. $0.05 USDC.
CoinGecko historical pricing + Monte Carlo forecasting. $0.05 USDC.
Kalshi vs Polymarket NLI discrepancies. $1.00 USDC.
Multi-outcome guaranteed NO aggregation. $0.50 USDC.
NWS vs Kalshi temperature derivatives. $0.25 USDC.
Public MAE, hit rates, and grade distribution. Free.
Subscribe to webhook notifications when card prices cross thresholds. Free.
Health · last 3 probes
Cheaper or better alternatives per-skill
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Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"name": "The Undesirables TCG Oracle",
"description": "AI-powered TCG card grading, Monte Carlo price simulation, and market intelligence. 370K+ products across 25 games. 28 API endpoints. Pay-per-call via x402 USDC on Base.",
"url": "https://oracle.the-undesirables.com",
"version": "2.0.0",
"capabilities": {
"streaming": false,
"pushNotifications": true
},
"skills": [
{
"id": "search_tcg",
"name": "Search TCG Products",
"description": "Search 370,158 TCG products across 25 games. Free.",
"tags": [
"tcg",
"pokemon",
"search",
"free"
]
},
{
"id": "market_data",
"name": "Market Data",
"description": "Daily TCGCSV market snapshots with top movers. Free.",
"tags": [
"market",
"prices",
"free"
]
},
{
"id": "grade_card",
"name": "AI Card Grading",
"description": "3-stage grade pipeline: Vision LLM + OpenCV centering + BGS capping. Includes free ROI verdict. $0.10 USDC.",
"tags": [
"grading",
"vision",
"ai",
"paid"
]
},
{
"id": "grade_or_not",
"name": "Grade-or-Not Decision Engine",
"description": "ROI analysis: PSA fee schedule \u00d7 grade prediction \u00d7 graded market value. Returns GO/NO-GO verdict with profit scenarios. $0.10 USDC.",
"tags": [
"grading",
"roi",
"decision",
"paid"
]
},
{
"id": "simulate_price",
"name": "Monte Carlo Simulation",
"description": "Merton Jump-Diffusion stochastic price models with full parameter transparency. $0.015 USDC.",
"tags": [
"simulation",
"monte-carlo",
"finance",
"paid"
]
},
{
"id": "trending",
"name": "Trending Cards Feed",
"description": "Top 50 cards by 30-day sales volume and price velocity. $0.025 USDC.",
"tags": [
"trending",
"market",
"volume",
"paid"
]
},
{
"id": "arb_grade",
"name": "Raw Card Arbitrage Scanner",
"description": "Finds cards where grading ROI exceeds threshold. $0.15 USDC.",
"tags": [
"arbitrage",
"grading",
"roi",
"paid"
]
},
{
"id": "batch_triage",
"name": "Batch Card Triage",
"description": "Grade up to 20 card images and rank by expected profit. $0.50 USDC.",
"tags": [
"batch",
"grading",
"triage",
"paid"
]
},
{
"id": "portfolio_optimize",
"name": "Portfolio Optimizer",
"description": "Markowitz mean-variance with Kou jump-diffusion Monte Carlo. $0.50 USDC.",
"tags": [
"portfolio",
"optimization",
"finance",
"paid"
]
},
{
"id": "crypto_oracle",
"name": "Shroomy Web3 Oracle",
"description": "Alchemy NFT floor pricing + Monte Carlo forecasting. $0.05 USDC.",
"tags": [
"web3",
"nft",
"alchemy",
"oracle",
"paid"
]
},
{
"id": "coin_history",
"name": "Historical Token Simulator",
"description": "CoinGecko historical pricing + Monte Carlo forecasting. $0.05 USDC.",
"tags": [
"crypto",
"coingecko",
"token",
"history",
"paid"
]
},
{
"id": "arb_cross",
"name": "Cross-Platform Arb Scanner",
"description": "Kalshi vs Polymarket NLI discrepancies. $1.00 USDC.",
"tags": [
"arbitrage",
"prediction-markets",
"paid"
]
},
{
"id": "arb_basket",
"name": "Basket Arb Scanner",
"description": "Multi-outcome guaranteed NO aggregation. $0.50 USDC.",
"tags": [
"arbitrage",
"prediction-markets",
"paid"
]
},
{
"id": "arb_weather",
"name": "Weather Arb Scanner",
"description": "NWS vs Kalshi temperature derivatives. $0.25 USDC.",
"tags": [
"arbitrage",
"weather",
"kalshi",
"paid"
]
},
{
"id": "accuracy_dashboard",
"name": "Prediction Accuracy Dashboard",
"description": "Public MAE, hit rates, and grade distribution. Free.",
"tags": [
"accuracy",
"trust",
"transparency",
"free"
]
},
{
"id": "price_alerts",
"name": "Price Alert Webhooks",
"description": "Subscribe to webhook notifications when card prices cross thresholds. Free.",
"tags": [
"alerts",
"webhooks",
"monitoring",
"free"
]
}
],
"payment": {
"protocol": "x402",
"network": "eip155:8453",
"asset": "USDC",
"wallet": "0x642e8a7C289381f24f0395e0539f0bA41c74Cc1B"
}
}