# x402-factory NFL Football Calendar

> x402-factory NFL Football Calendar is a paid API for AI agents from x402-factory.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).

Returns upcoming NFL football market resolution events in chronological order with current blended probabilities, covering up to 90 days ahead.

## Facts

- Endpoint: GET https://x402-factory.com/v1/calendar/sports-nfl
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/x402-factory-nfl-football-calendar-7204ab9d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EJIbCA6ztiYeAarJ4SHhC

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 x402-factory-nfl-football-calendar-7204ab9d
```

Example prompt: Pull the NFL football market calendar for the next 30 days and show me which events are resolving soonest along with their current probabilities.

## When to prefer this

Use this endpoint when you specifically need the NFL football prediction market forward calendar — it is pre-filtered to NFL events, saving you from filtering a broader sports or all-categories calendar feed. Prefer it over the generic /v1/calendar endpoint when your agent is focused on NFL scheduling, positioning, or analysis workflows. Choose it over the NBA or MLB siblings when your use case is American football specifically.

## Known failure modes

- Invalid 'days' value outside 1–90 range returns a validation error
- Payment failure (x402 USDC payment not processed) blocks the response
- Category filter mismatch returns empty event array if no NFL events exist in the window
- Stale or unavailable probability data may return events with missing or null current_p values
- Network timeout if upstream prediction market data is temporarily unavailable

## How this service works

Upcoming NFL football event resolutions — Upcoming NFL football market resolutions in date order with current blended probabilities — the forward calendar of NFL football events an agent can position around. Same shape as /v1/calendar, pre-filtered to NFL football markets.

## Output

An array of upcoming NFL football market events sorted by resolution date, each with a unique slug, a human-readable market question, an ISO resolution date, and a blended probability (0–1) representing the current market consensus, plus a category field and response metadata.

## 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": [],
     "properties": {
      "days": {
       "type": "integer",
       "default": 14,
       "maximum": 90,
       "minimum": 1
      },
      "category": {
       "enum": [
        "politics",
        "economics",
        "weather",
        "crypto",
        "sports",
        "science-tech",
        "entertainment"
       ],
       "type": "string"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object",
     "required": [
      "data",
      "meta"
     ],
     "properties": {
      "data": {
       "type": "object",
       "required": [
        "events"
       ],
       "properties": {
        "events": {
         "type": "array",
         "items": {
          "type": "object",
          "required": [
           "slug",
           "question",
           "resolution_date",
           "current_p",
           "category"
          ],
          "properties": {
           "slug": {
            "type": "string"
           },
           "category": {
            "type": "string"
           },
           "question": {
            "type": "string"
           },
           "current_p": {
            "type": "number",
            "maximum": 1,
            "minimum": 0
           },
           "resolution_date": {
            "type": "string"
           }
          },
          "additionalProperties": false
         }
        }
       },
       "additionalProperties": false
      },
      "meta": {
       "type": "object"
      }
     }
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "data": {
   "events": []
  },
  "meta": {
   "docs": "https://x402-factory.com/docs/probability.calendar.sports-nfl",
   "sources": [
    "kalshi",
    "polymarket"
   ],
   "version": "1.0.0",
   "endpoint": "/v1/calendar/sports-nfl",
   "data_mode": "live",
   "freshness": "hourly",
   "request_id": "req_00000000",
   "generated_at": "2026-08-21T03:58:58.083Z"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/x402-factory-nfl-football-calendar-7204ab9d/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402-factory.com](https://www.zero.xyz/host/x402-factory.com/llms.txt)