market2000.xyz
Portfolio Optimizer — Markowitz mean-variance optimization for a basket of assets. HOW TO CALL: POST /optimize_portfolio?tickers=AAPL,MSFT,NVDA,SPY&period=1y&objective=max_sharpe PARAMETERS: tickers — comma-separated list of 2–30 ticker symbols (required) period — historical window: '6mo' | '1y' (default) | '2y' | '3y' | '5y' objective — 'max_sharpe' (default) | 'min_volatility' | 'max_return' risk_free_rate — annual risk-free rate for Sharpe ratio (default: 0.04) RESPONSE FIELDS: allocation — {ticker: weight} dict, weights sum to 1.0 metrics — expected_annual_return, annual_volatility, sharpe_ratio benchmark_equal_weight — same metrics for a naive equal-weight portfolio correlation_matrix — pairwise return correlations Cached 6 hours per (tickers, period, objective). PRICING: $0.10 per call.
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Live 402 challenge
Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x7a9Fa18dd9402F8d8C55Afbd59ED707BAc0e9cAf",
"scheme": "exact",
"network": "base",
"mimeType": "application/json",
"resource": "https://market2000.xyz/optimize_portfolio",
"description": "Portfolio Optimizer — Markowitz mean-variance optimization for a basket of assets.\n\nHOW TO CALL:\n POST /optimize_portfolio?tickers=AAPL,MSFT,NVDA,SPY&period=1y&objective=max_sharpe\n\nPARAMETERS:\n tickers — comma-separated list of 2–30 ticker symbols (required)\n period — historical window: '6mo' | '1y' (default) | '2y' | '3y' | '5y'\n objective — 'max_sharpe' (default) | 'min_vol",
"maxAmountRequired": "50000",
"maxTimeoutSeconds": 300
},
{
"asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x7a9Fa18dd9402F8d8C55Afbd59ED707BAc0e9cAf",
"scheme": "exact",
"network": "eip155:42161",
"mimeType": "application/json",
"resource": "https://market2000.xyz/optimize_portfolio",
"description": "Portfolio Optimizer — Markowitz mean-variance optimization for a basket of assets.\n\nHOW TO CALL:\n POST /optimize_portfolio?tickers=AAPL,MSFT,NVDA,SPY&period=1y&objective=max_sharpe\n\nPARAMETERS:\n tickers — comma-separated list of 2–30 ticker symbols (required)\n period — historical window: '6mo' | '1y' (default) | '2y' | '3y' | '5y'\n objective — 'max_sharpe' (default) | 'min_vol",
"maxAmountRequired": "50000",
"maxTimeoutSeconds": 300
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "CjNFTjvBhbJJd2B5ePPMHRLx1ELZpa8dwQgGL727eKww"
},
"payTo": "n2eV6XN2j1dR9bB7ReQHGjZVbWSknp4LA9XttCRYUC8",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"mimeType": "application/json",
"resource": "https://market2000.xyz/optimize_portfolio",
"description": "Portfolio Optimizer — Markowitz mean-variance optimization for a basket of assets.\n\nHOW TO CALL:\n POST /optimize_portfolio?tickers=AAPL,MSFT,NVDA,SPY&period=1y&objective=max_sharpe\n\nPARAMETERS:\n tickers — comma-separated list of 2–30 ticker symbols (required)\n period — historical window: '6mo' | '1y' (default) | '2y' | '3y' | '5y'\n objective — 'max_sharpe' (default) | 'min_vol",
"maxAmountRequired": "50000",
"maxTimeoutSeconds": 300
}
],
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"period": "1y",
"tickers": "AAPL,MSFT,NVDA,SPY",
"objective": "max_sharpe"
}
},
"output": {
"type": "json",
"example": {
"cached": false,
"period": "1y",
"metrics": {
"sharpe_ratio": 1.402,
"annual_volatility": 0.194,
"expected_annual_return": 0.312
},
"objective": "max_sharpe",
"allocation": {
"SPY": 0.33,
"AAPL": 0.54,
"NVDA": 0.13
},
"fetched_at": "2026-06-07T10:00:00Z",
"tickers_used": [
"AAPL",
"MSFT",
"NVDA",
"SPY"
],
"risk_free_rate": 0.04,
"benchmark_equal_weight": {
"sharpe_ratio": 1.08,
"annual_volatility": 0.213,
"expected_annual_return": 0.271
}
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"queryParams"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string"
},
"queryParams": {
"type": "object",
"required": [
"tickers"
],
"properties": {
"period": {
"enum": [
"6mo",
"1y",
"2y",
"3y",
"5y"
],
"type": "string",
"description": "Historical data window used to estimate returns and covariance (default: 1y)"
},
"tickers": {
"type": "string",
"description": "Comma-separated list of 2–30 ticker symbols (e.g. 'AAPL,MSFT,NVDA,SPY')"
},
"objective": {
"enum": [
"max_sharpe",
"min_volatility",
"max_return"
],
"type": "string",
"description": "Optimization objective (default: max_sharpe)"
},
"risk_free_rate": {
"type": "number",
"description": "Annual risk-free rate for Sharpe calculation (default: 0.04 = 4%)"
}
}
}
}
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"required": [
"objective",
"period",
"tickers_used",
"allocation",
"metrics"
],
"properties": {
"cached": {
"type": "boolean"
},
"period": {
"type": "string"
},
"metrics": {
"type": "object",
"properties": {
"sharpe_ratio": {
"type": "number"
},
"annual_volatility": {
"type": "number"
},
"expected_annual_return": {
"type": "number"
}
}
},
"objective": {
"type": "string"
},
"allocation": {
"type": "object",
"description": "Ticker → optimal weight (0–1)"
},
"fetched_at": {
"type": "string"
},
"tickers_used": {
"type": "array",
"items": {
"type": "string"
}
},
"correlation_matrix": {
"type": "object"
},
"benchmark_equal_weight": {
"type": "object"
}
}
}
}
}
}
}
}
},
"x402Version": 1
}Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
Pay 0.05 USDC on Base to 0x7a9F…e9cAf. The signed payment is good for 5 minutes.
- Paid to
- 0x7a9F…e9cAf
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 50000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x7a9Fa18dd9402F8d8C55Afbd59ED707BAc0e9cAf",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
]Provenance
- Seen in the source catalog
- 2026-08-29 13:04Z
- Last indexed by Roundhouse
- 2026-09-24 01:15Z
- Last enriched (probe, favicon, geo)
- 2026-09-14 22:16Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 402
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
No per-endpoint history for this service yet, so this is payments indexed to its PROVIDER's wallet over 30 days. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service market2000.xyz and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=market2000.xyz' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://market2000.xyz/optimize_portfolio, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.