Sports Matchup What-If Simulator

Preview request

The preview path is rate-limited and does not charge. It executes the live source and returns the paid response shape while withholding decision-ready values. Production requests use the same parameters and return a standard x402 challenge when no payment signature is present.

curl --request POST \
  "https://ai-data-marketplace-1042299154756.us-central1.run.app/api/v1/sports_matchup_simulator?preview=true" \
  --header "content-type: application/json" \
  --data '{"team_a":"Blue Comets","team_b":"Red Rockets","rating_a":70,"rating_b":60,"seed":"game-1"}'

Input contract

Example deliverable

This is the documented response shape, not a promise that live values will match the example. The paid request returns current or declared-source results using the same contract.

{
  "success": true,
  "product": "sports_matchup_simulator",
  "source": "User-supplied ratings and a hypothetical strength-share model",
  "seed": "example",
  "mode": "hypothetical_simulation",
  "inputs": {
    "team_a": "Blue Comets",
    "team_b": "Red Rockets",
    "rating_a": 70,
    "rating_b": 60
  },
  "model": "P(A wins) = rating_a / (rating_a + rating_b); a binary outcome with no draw.",
  "modeled_chances": [
    {
      "team": "Blue Comets",
      "percent": 53.85
    },
    {
      "team": "Red Rockets",
      "percent": 46.15
    }
  ],
  "one_simulated_winner": "Blue Comets",
  "caveat": "For entertainment and what-if comparisons. Ratings are supplied by the caller, not measured here. No live stats, injuries, schedules, odds or sport-specific calibration. These percentages are not validated forecasts or betting advice."
}

Why this offer exists

Hypothetical probabilities and one simulated winner from ratings you supply.

Buyer searches: sports matchup simulator, team rating comparison, what-if sports game, fun sports prediction.

Why pay: A reproducible structured game-night comparison, explicitly not a live forecast.

Launch price: 0.005 USDC per complete paid result. The live contract proof verifies source, freshness, inputs, and response shape before a wallet is asked to pay.

Purchase decision

Buy when: the active task needs this product's structured result, its declared source and freshness are sufficient, and 0.005 USDC is within the buyer's authorized per-request limit.

Skip when: a cached result is sufficient, the source or fields do not satisfy the task, or the buyer has not authorized payment. Do not bypass wallet, budget, or user-approval policy.

Guaranteed response metadata

Every successful product response identifies how the result was produced. Product-specific output fields are documented in the paid OpenAPI contract. The preview proves the live source and field types without returning the paid values.

{
  "marketplace_metadata": {
    "data_mode": "computed_service",
    "billable": true,
    "availability": "operational",
    "source": "User-supplied ratings and a hypothetical strength-share model"
  }
}

Agent payment flow

Fast path: install the public MCP package, configure a dedicated low-balance Base buyer wallet and a maximum per-request spend, then call this tool with auto_pay: true. The client handles the challenge, local signature, settlement, and retry in one tool call.

npx -y dopaminedesk-ai-data-marketplace-mcp

X402_AUTO_PAY=true
X402_EVM_PRIVATE_KEY=<dedicated buyer wallet key>
X402_MAX_PAYMENT_USDC=0.25

tool input: { "auto_pay": true }

Manual path: request the product, read the base64 PAYMENT-REQUIRED challenge, sign with any compatible x402 v2 client, and retry with PAYMENT-SIGNATURE. A successful response includes PAYMENT-RESPONSE.