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Trading Card Portfolio Optimizer (Markowitz Mean-Variance)
x402
Trading Card Portfolio Optimizer (Markowitz Mean-Variance) is a paid API for AI agents from oracle.the-undesirables.com, paid per call via x402, $0.5/call, status unknown (last checked 2026-10-27).
Optimizes a trading card portfolio using Markowitz mean-variance analysis over conformal-calibrated risk forecasts, returning optimal position sizing, allocation weights, Sharpe ratios, and rebalancing recommendations.
Price / call$0.5
Success—
StatusUnknown
How this service works
TCG card grading, conformal risk forecasting, and market intelligence. Powered by x402 micropayments — USDC on Base, USDC on Solana, or USDG on Robinhood Chain; the 402 offers all three and the agent picks a leg. Free tools require no payment. Paid tools return HTTP 402 — sign a payment and retry with the payment proof header.
Output
Returns optimal position sizing (dollar amounts per card), per-card allocation weights as percentages, expected Sharpe ratios, and rebalancing recommendations based on Markowitz mean-variance analysis and conformal-calibrated risk forecasts for the specified trading card portfolio.
Example use cases
Rebalance Magic card holdings quarterly
“I've got about $2,000 in Magic: The Gathering cards right now split between Dual Lands, Power Nine, and Modern staples. Can you run an optimization to see if I should rebalance given my conservative risk tolerance? I'd like to know the new allocation weights and whether any of my current positions are over or underweight.”
Optimize aggressive portfolio for Yu-Gi-Oh
“I'm looking to deploy $5,000 into competitive Yu-Gi-Oh cards and I'm comfortable taking on significant risk for higher returns. Can you give me the optimal position sizing across these 8 cards I've picked out, along with the expected Sharpe ratio and allocation percentages?”
Budget allocation across rare Digimon cards
“I want to spread my $1,200 budget across four rare Digimon cards but I'm pretty risk-averse since these are collectibles. Can you tell me how much to put into each one, what Sharpe ratio I can expect, and if there are any rebalancing moves I should consider in the next few months?”
Technical details
Endpoint
GEThttps://oracle.the-undesirables.com/api/v1/portfolio-optimize?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need quantitative, risk-adjusted portfolio construction specifically for trading cards (Pokémon, Magic: The Gathering, Yu-Gi-Oh, Digimon, etc.) using rigorous mean-variance optimization rather than ad hoc allocation. Prefer it over generic financial portfolio tools when the asset class is collectible trading cards with TCG market data. Best when you need Sharpe ratios and rebalancing guidance alongside allocation weights.
Side effects
- Missing required 'cards' query parameter returns an error
- Unrecognized card names may result in empty or partial analysis
- Invalid risk_tolerance value (not conservative/moderate/aggressive) causes a validation error
- Days parameter outside 1-365 range is rejected
- Budget of zero or negative value may produce degenerate results
- Payment failure or insufficient USDC balance blocks the request with a 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| days | integer | Forecast horizon in days |
| cardsrequired | string | Comma-separated card names (e.g. 'Charizard ex,Pikachu VMAX,Black Lotus') |
| budget | number | Total portfolio budget in USD |
| risk_tolerance | string | Risk profile: conservative, moderate, aggressive |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"allocations": [
{
"weight": 0.45,
"card_name": "Charizard ex",
"allocation_usd": 450
}
],
"portfolio_expected_return_pct": 12.5
},
"tool": "portfolio_optimizer",
"status": "ok"
}
}Tags
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