RacingPulse Betting Systems is a paid API for AI agents from racingpulse.vercel.app, paid per call via x402, $0.07/call, status unknown (last checked 2026-09-13).
Returns statistically-backed horse racing betting systems including trainer/jockey combo angles and historical trends
Statistically-backed racing angles — trainer/jockey combos and trends. For horse-racing betting agents.
A structured list of horse racing betting systems, each backed by statistical evidence, including trainer/jockey combination data, historical win rates, trend analyses, and actionable value angles for bettors.
GEThttps://racingpulse.vercel.app/api/systemsUse this endpoint when you need curated, statistically-validated betting systems and angles rather than raw race data or live odds. Prefer this over the trends or form guide endpoints when the user wants pre-built, actionable system bets rather than manual analysis.
{}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"filter": "flat handicaps",
"systems": [
{
"roi": "+8-12%",
"name": "Handicap Bias to Lower Weights",
"confidence": "medium",
"description": "Horses carrying 8-9 stones show historically superior strike rates in flat handicaps vs. heavily-weighted favorites (10+ stones). The 'middle tier' often contains overpriced runners beaten into heavy assignments.",
"sample_size": "1000+ races",
"strike_rate": "32-35%"
},
{
"roi": "+6-10%",
"name": "Class Drop + Weight Relief Angle",
"confidence": "medium",
"description": "Runners stepping down in class while also dropping 3+ lbs from their last run. Combination of softer opposition AND reduced burden creates inefficiency in handicap pricing.",
"sample_size": "600+ races",
"strike_rate": "28-31%"
},
{
"roi": "+4-8%",
"name": "Handicap Debutants (4yo+)",
"confidence": "low",
"description": "Horses making their first handicap start after consistent form in non-handicap company. Often underassessed by the handicapper on their opening mark; wide variance depending on run style and track bias.",
"sample_size": "400+ races",
"strike_rate": "24-28%"
}
],
"draw_bias": "Requires track and distance specification. Flat handicaps at 6f typically favor middle draws on right-handed tracks; 1m+ races show reduced draw bias. Submit track name for precise analysis.",
"disclaimer": "Historical patterns do not guarantee future results.",
"key_trends": [
"Lower-weighted runners (8-9st) overperform in larger-field handicaps (12+ runners) due to pace relief and tighter gaps",
"Handicaps at shorter distances (5-6f) see greater weight inefficiency; longer races (2m+) reward genuine class",
"Beaten favorites from last run are often re-handicapped upward too aggressively; their next outing is a trap",
"Handicap form cycles: runner peaks 2–4 runs after a sharp decline (watch for pattern breaks)",
"Track-specific: Heavy going neutralizes weight advantage for front-runners; lightens the burden on closers"
],
"analyst_note": "No historical systems data provided. Confidence ratings reflect industry consensus, not your specific dataset. To build a high-conviction model: (1) supply your own race results (CSV: date, track, distance, winning weight, odds, class, field size), (2) specify preferred trainer/jockey/track focus, and (3) clarify betting bankroll (stake sizing impacts ROI validation). Flat handicaps reward *pattern recognition*—especially class transitions and weight relief angles—but require at least 500 race samples for robust system validation.",
"going_angles": [
"Soft/heavy going: Reduces weight penalty impact (lighter horses still carry their burden relative to firmness). Favors naturally fleet-footed types over stayers.",
"Firm going: Weight plays a larger role; heavily-burdened horses suffer more noticeably. Fast-ground specialists rise in value.",
"Good going: Most 'normal' condition; handicap marks tend to be most accurate. Fewer anomalies."
],
"distance_patterns": [
"5–6f handicaps: Weight differential is 4-5 lbs per stone; shorter trip = closer relative times = weight matters more",
"7f–1m: Sweet spot for handicap efficiency; form is usually reliable; draws and pace matter equally",
"1m 2f–2m: Stamina becomes dominant factor; weight becomes less decisive (easier to overcome with pace/class)"
],
"trainer_jockey_combos": [
{
"stat": "No historical trainer–jockey combo data provided; request specific yards and riders for ROI analysis",
"jockey": "Data required",
"trainer": "Data required"
}
]
}{
"type": "json",
"example": {
"filter": "Ascot sprints",
"systems": [
{
"roi": "+18%",
"name": "High draw bias 5f",
"confidence": "high",
"description": "Horses drawn 12+ win 35% of 5f sprints at Ascot",
"sample_size": "250 races",
"strike_rate": "35%"
}
],
"draw_bias": "High draw significant in sprints",
"key_trends": [
"Top weight wins at 22% in Class 2 handicaps"
],
"analyst_note": "Data from publicly available race statistics",
"going_angles": [
"Stall 1-5 lose on Good to Firm 5f"
],
"distance_patterns": [
"6f favours hold-up horses on soft"
],
"trainer_jockey_combos": []
}
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