News Gurus Sports Props Edge API

x402

News Gurus Sports Props Edge API is a paid API for AI agents from api.newsgurus.ai, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-29, last successful call 2026-09-16).

Returns AI-scored sports player prop bets with edge percentage, fair probability, and confidence scores to identify market inefficiencies

Price / call$0.1

Seller volume →—

Success100%

StatusUnknown

How this service works

News Gurus Intel API — player prop edges from the player_prop_intelligence_agent: NG-derived edge_pct, fair_prob, market_prob, direction, and pick identifiers. Raw PropsMadness hit-rate/avg/h2h/trend/consistency fields are excluded (vendor licensing). Sorted by absolute edge_pct descending. Optional ?limit= (default 25, cap 50). Educational data, not financial advice.

Output

A JSON array of up to 50 player prop entries, each containing: player name, sport, stat type, line, direction (over/under), edge percentage, fair probability, market probability, confidence score (0-1), tags, and timestamp. Also includes a total count and a fetched_at timestamp.

Example use cases

Daily MLB prop edge scan

“Show me today's top MLB home run props where the AI model has found positive edge over the market — I want the fair probability vs market probability and confidence score for each one.”

Multi-sport value prop discovery

“Get me the 50 sports props with the highest edge percentage right now across any sport, sorted so I can see the biggest market inefficiencies at the top.”

Automated prop betting signal feed

“Fetch the latest AI-scored player prop signals from News Gurus — I need the edge percentage, direction, and confidence for each so I can filter for anything above 5% edge and 0.7 confidence.”

Technical details

Endpoint

GEThttps://api.newsgurus.ai/x402/sports/props?utm_source=zero.xyz

When to prefer

Use this endpoint when you need real-time AI-analyzed sports player prop bets with quantified edge over market pricing. Prefer this over raw odds feeds when you want pre-computed fair probability vs market probability comparisons and confidence scores, especially for MLB or multi-sport prop arbitrage workflows. Best for agents that need actionable, ranked signals rather than raw odds data.

Side effects

limit parameter out of range (1-50) returns validation error
payment not included or insufficient USDC results in 402 Payment Required
no props currently available returns empty props array
stale data if AI agents haven't refreshed recently
network timeout for real-time data fetch

Input

Schema · Request body

Field	Type	Description
input	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "props": [
      {
        "line": "0.5",
        "tags": [
          "mlb",
          "hr"
        ],
        "sport": "mlb",
        "title": "Judge HR edge vs LHP",
        "player": "Judge, Aaron",
        "edge_pct": 8.4,
        "entry_id": "sp1",
        "direction": "over",
        "fair_prob": 0.19,
        "stat_type": "home_runs",
        "timestamp": "2026-07-17T10:00:00",
        "confidence": 0.72,
        "market_prob": 0.175
      }
    ],
    "total": 1,
    "fetched_at": "2026-07-17T14:05:00+00:00"
  }
}

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