# FootballPulse Clean Sheet Probability

> FootballPulse Clean Sheet Probability is a paid API for AI agents from footballpulse-six.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Returns clean-sheet probability estimates for football matches using goalkeeper stats, defensive metrics, home/away splits, BTTS likelihood, and under-2.5 goals analysis.

## Facts

- Endpoint: GET https://footballpulse-six.vercel.app/api/clean-sheet
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/footballpulse-clean-sheet-probability-489189fd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Uu_WlJUi5VobTVjfrQTp5

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 footballpulse-clean-sheet-probability-489189fd
```

Example prompt: What's the clean sheet probability for both teams in Arsenal vs Chelsea this Saturday — include BTTS likelihood, under-2.5 odds analysis, and their home/away defensive splits?

## When to prefer this

Use this endpoint when you need defensive-focused probability analysis for a specific football match, particularly for markets like clean sheet winner, BTTS No, or under-2.5 goals. Prefer this over the general match preview endpoint when the user is specifically interested in defensive metrics or goalkeeper performance rather than a full match overview.

## Known failure modes

- Match or fixture not found — returns error if match ID or team name is unrecognized
- Stale or unavailable data — stats may be missing for lower leagues or early-season fixtures
- Invalid query parameters — returns 400 if required match context is missing
- Rate limit or payment failure — 402 if USDC payment is not processed correctly

## How this service works

Clean-sheet probability — goalkeeper stats, defensive metrics, home/away split, BTTS and under-2.5 analysis. For football betting agents.

## Output

Returns structured data including clean sheet probability for each team, goalkeeper performance stats, defensive metrics, BTTS probability, under-2.5 goals probability, and home/away performance splits — all framed for use in football betting decisions.

## 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",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "lang": {
       "type": "string",
       "description": "en | es | fr | de | pt | ja | zh | ko | ar (default: en)"
      },
      "team": {
       "type": "string",
       "description": "required"
      },
      "league": {
       "type": "string",
       "description": "optional"
      },
      "home_away": {
       "type": "string",
       "description": "home | away | both (default: both)"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "errors": {
     "type": "object",
     "description": "Documented error responses, keyed by HTTP status code",
     "additionalProperties": {
      "type": "object",
      "required": [
       "description"
      ],
      "properties": {
       "example": {
        "type": "object"
       },
       "description": {
        "type": "string"
       }
      }
     }
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "team": "Arsenal",
  "goalkeeper": {
   "name": "David Raya",
   "saves_per_game": 2.8,
   "save_percentage": "74%"
  },
  "competition": "Premier League",
  "season_stats": {
   "played": 32,
   "clean_sheets": 14,
   "clean_sheet_rate": "43.8%",
   "goals_conceded_avg": 0.9
  },
  "market_analysis": {
   "btts_probability": "48%",
   "value_assessment": "Arsenal CS has value at prices over 2.20",
   "under_2_5_probability": "52%"
  },
  "clean_sheet_probability": "38%"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/footballpulse-clean-sheet-probability-489189fd/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from footballpulse-six.vercel.app](https://www.zero.xyz/host/footballpulse-six.vercel.app/llms.txt)