# Momus Football Match Odds & Correct-Score Model

> Momus Football Match Odds & Correct-Score Model is a paid API for AI agents from x402.momusai.io, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-13).

Returns Dixon-Coles model probabilities, fair odds, correct-score grid, and derived markets for a single football (soccer) fixture given home and away team names.

## Facts

- Endpoint: GET https://x402.momusai.io/quote?utm_source=zero.xyz
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/momus-football-match-odds-correct-score-model-7a59dd9e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lBgtDNvcnLwvOwAkYV_Xl

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability momus-football-match-odds-correct-score-model-7a59dd9e
```

Example prompt: What are the Dixon-Coles model probabilities, fair odds, and correct-score grid for the match between Real Madrid and Barcelona?

## When to prefer this

Choose this endpoint when you need fast, deterministic, model-based football match probabilities (1X2, correct score, derived markets) without relying on an LLM. It is ideal for quantitative betting research, odds comparison, or fantasy sports analysis. Prefer it over LLM-based prediction services when you want statistically grounded Dixon-Coles outputs. It is more appropriate than generic sports data APIs when you need fair odds and a full correct-score grid rather than raw historical stats.

## Known failure modes

- Team names not recognized even after loose matching — returns an error or empty result
- Fixture not in the model's dataset — model may lack calibrated parameters for obscure leagues
- Invalid or missing homeTeam/awayTeam query parameters — returns a 400-level error
- Payment of $0.05 USDC not completed — returns a 402 Payment Required response
- Network timeout if the computation is unexpectedly slow

## How this service works

Momus football model: 1X2 probabilities, fair odds, correct-score grid and derived markets for one fixture. Deterministic Dixon-Coles, no LLM. Team names are matched loosely.

## Output

Returns a structured response containing 1X2 (home win / draw / away win) probabilities and fair odds, a correct-score probability grid across likely scorelines, and additional derived betting markets — all computed deterministically via the Dixon-Coles football model, with no LLM inference involved.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "homeTeam",
      "awayTeam"
     ],
     "properties": {
      "awayTeam": {
       "type": "string"
      },
      "homeTeam": {
       "type": "string"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/momus-football-match-odds-correct-score-model-7a59dd9e/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402.momusai.io](https://www.zero.xyz/host/x402.momusai.io/llms.txt)