Technical Specification

The Agent Network Protocol

An 8-stage verification lifecycle. Four architectural layers. Zero single points of failure. This is how autonomous sports intelligence works.

VERIFICATION LIFECYCLE

8 Stages. One Truth.

Every signal passes through the complete verification lifecycle. No shortcuts. No bypasses.

STAGE 1

Query

Natural language or structured input enters the agent network

STAGE 2

Signal Generation

Specialized agents extract signals from multi-source data streams

STAGE 3

Regime Analysis

Contextual agents classify market and match regime conditions

STAGE 4

Cross-Agent Validation

Multiple independent agents verify findings through consensus protocols

STAGE 5

Market Synchronization

Real-time odds and market data synchronized across all active agents

STAGE 6

Execution Authorization

Confidence thresholds met; authorized output is generated

STAGE 7

Post-Match Audit

Automated verification of predictions against actual outcomes

STAGE 8

Autonomous Reporting

Performance metrics and model updates propagated across the network

CYCLE COMPLETE — AUTONOMOUS LOOP ACTIVE
PROTOCOL ARCHITECTURE

Four Layers of Intelligence

From user interface to data verification, the protocol stack is designed for transparency at every level.

LAYER 1

Interface Layer

SportBot UI, API Gateway, WebSocket Streams

SportBotREST APIWebSocket
LAYER 2

Agent Coordination Layer

Task routing, consensus protocols, agent orchestration

OrchestratorConsensus EngineTask Router
LAYER 3

Intelligence Layer

Specialized agents for signals, regimes, and market analysis

Signal AgentsRegime AgentsMarket Agents
LAYER 4

Data & Verification Layer

Multi-source data ingestion, audit trails, verification logs

Data StreamsAudit EngineVerification Logs
Bidirectional data flow between all layers
VERIFICATION ENGINE

How Agents Verify

The verification engine is the core innovation. Multiple independent agents must agree before any output is authorized.

01

Multi-Source Observation

Independent agents ingest data from different sources. No single data provider can bias the network.

02

Independent Analysis

Each agent runs its own analysis pipeline. Models, methodologies, and weighting are agent-specific.

03

Consensus Scoring

Outputs are compared across agents. Confidence scores reflect agreement level, not single-model certainty.

04

Verification Gate

Only outputs meeting consensus thresholds are authorized. Below-threshold signals are flagged, not published.

01
02
03
04
TECHNICAL SPECIFICATIONS

Protocol Metrics

Real-time performance metrics from the live agent network.

12+
Active Agent Types
3-5
per signal
Validation Rounds
40+
Data Sources
≥ 0.72
Confidence Threshold
100%
Post-Match Audit Rate
< 2s
Average Latency

Ready to integrate?

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FAQ

Frequently Asked Questions