Greyhound Betting API Access
This API is not a data dump. It is a structured access layer to years of greyhound market knowledge, modelling experience, and production-grade abstractions.
Request AccessDesign Philosophy
- Exchange-first thinking
- Derived, normalised, and contextualised data
- No raw secrets, no weights, no thresholds
- Built for analysis, research, and controlled automation
Data Access Layers
100 accessible data and analysis points, grouped by depth and sophistication.
Tier 1: Foundational
Race & Market Data (Simple)
- Race identifiers & scheduling
- Track / venue metadata
- Distance & Classification
- Trap numbering & mapping
- Market availability status
- Opening / Pre-race snapshots
- Market liquidity indicators
- Favourite identification
Purpose: clean grounding for analysis.
Tier 2: Form Context
Performance Abstractions
- Last-N race participation
- Finish position distributions
- Consistency scoring (abstracted)
- Win / place frequency bands
- Performance volatility indicator
- Directional form trend
- Noise vs signal classification
- Recency weighting indicator
Purpose: contextual form, not raw history.
Tier 3: Structural Behaviour
Trap, Track & Distance
- Trap historical performance bands
- Trap volatility indicator
- Course-specific performance index
- Distance suitability abstraction
- Structural bias likelihood score
- Course predictability rating
- Environment stability metric
Purpose: structure stripped of superstition.
Tier 4: Comparative Context
Head-to-Head & Field Depth
- Relative strength ordering
- Pairwise dominance indicators
- Competitive balance score
- Favourite vulnerability index
- Underdog clustering indicator
- Internal market disagreement
- Relative uncertainty index
Purpose: comparative thinking, not single-runner.
Tier 5: Market Dynamics
Psychology & Money Flow
- Odds stability indicator
- Market confidence score
- Late-move sensitivity flag
- Price elasticity estimate
- Liquidity concentration index
- Market hesitation metric
- Volume-weighted confidence
Purpose: market psychology, quantified.
Tier 6: Temporal Analysis
Multi-Race Patterns
- Time-of-day behavioural patterns
- Session-level volatility context
- Race clustering effects
- Market memory decay metric
- Intraday stability measure
- Temporal noise amplification
Purpose: patterns across races.
Tier 7: Risk Perspectives
Exposure & Liability
- Risk asymmetry classification
- Liability sensitivity indicator
- Expected variance band
- Drawdown risk context
- Exposure concentration warning
- Tail-risk likelihood band
Purpose: capital protection awareness.
Tier 8 & 9: Advanced
Strategy & Meta Context
- Lay / Back suitability (abstracted)
- Dutch viability indicator
- Automation readiness score
- Execution tolerance band
- Market fragility score
- Data confidence rating
- Analytical maturity score
Purpose: decision support & system health.
What The API Does NOT Provide
To be explicit: This is infrastructure, not a shortcut.
✖ No raw probabilities
✖ No model weights
✖ No parameter thresholds
✖ No entry/exit rules
✖ No staking logic
✖ No "ready-made" bets
Who API Access Is For
- ✔ Developers building proprietary models
- ✔ Quantitative bettors doing serious research
- ✔ Syndicates needing structured data
- ✖ Tip seekers
- ✖ Signal copy-traders
- ✖ Anyone wanting guarantees