Six Agent Types We Build
Each agent type is purpose-built for a specific operational need. Mix and match to create a comprehensive agent layer for your platform.
Continuously scans your odds surface against fair-value benchmarks, flagging anomalies and stale lines in real time. Operates 24/7 without human oversight.
Cross-references incoming odds data from multiple sources to detect discrepancies, pipeline errors, and data quality issues before they reach your clients.
Monitors liability concentrations, correlated event exposure, and sharp-money flow patterns. Generates risk alerts with severity scoring and recommended actions.
Analyzes market structure, movement patterns, and sentiment across the ecosystem. Provides your trading team with contextual intelligence for decision-making.
Assists human traders by surfacing the highest-priority opportunities and risks. Pre-filters market noise so your team focuses on what matters.
Monitors betting patterns for suspicious activity, regulatory compliance indicators, and integrity signals. Generates audit-ready reports for compliance teams.
How Agents Integrate with Your Platform
OddsFlow agents sit as an intelligent middleware layer between your platform and the broader agent ecosystem.
Your Platform
Sportsbook / Feed Provider
OddsFlow Agent Layer
Custom agents + Intelligence Engine
External Agents
End-user agents, partner agents
- Agents that monitor every market on your book in real time
- Automated risk flagging with human-in-the-loop escalation
- Trading assistants that surface the right signals to the right traders
- Agent-ready endpoints for customer-facing AI tools
- Data verification agents that catch pipeline issues before clients do
- Quality monitoring agents with automated reporting
- Agent-to-Agent endpoints so downstream consumers can query programmatically
- Compliance and integrity agents for regulated markets
From Scoping to Production in 8 Weeks
Requirements gathering, architecture review, agent capability mapping, success metrics definition.
Agent development, integration with your platform APIs, initial training on your data and market conditions.
End-to-end testing on live market data, performance validation, edge case handling, reputation network registration.
Production deployment, monitoring setup, team training, and handover documentation. Ongoing optimization included.