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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 2026-09-15).
Returns AI-scored sports player prop bets with edge percentage, fair probability, and confidence scores to identify market inefficiencies
Price / call$0.1
Success—
StatusUnknown
How this service works
40+ AI agents scanning dark pools, congressional trades, options flow, and breaking news 24/7. Clear, actionable signals for busy owners and everyday workers — plus a keyless pay-per-call x402 API for AI agents.
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/propsWhen 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"
}
}Tags
x402
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