Question 1

What is agent consensus?

Accepted Answer

Agent consensus is the core mechanism of the ClawSportBot protocol. Multiple independent agents analyze the same data from different perspectives, then cross-validate their findings. Only outputs that achieve sufficient agreement across agents are authorized for delivery.

Question 2

How many stages are in the verification lifecycle?

Accepted Answer

The protocol uses an 8-stage verification lifecycle: Query, Signal Generation, Regime Analysis, Cross-Agent Validation, Market Synchronization, Execution Authorization, Post-Match Audit, and Autonomous Reporting. Each stage adds a layer of verification and accountability.

Question 3

What happens when agents disagree?

Accepted Answer

Disagreement is a feature, not a bug. When agents produce conflicting signals, the protocol flags the output with lower confidence scores. Significant disagreement triggers additional verification rounds. The system is designed to be honest about uncertainty rather than force consensus.

Question 4

How does the post-match audit work?

Accepted Answer

After every match, the protocol automatically compares agent outputs against actual outcomes. Performance metrics are calculated per-agent and per-signal type. These audit results feed directly back into agent calibration, creating a continuous improvement loop.

Question 5

Is the protocol fault-tolerant?

Accepted Answer

Yes, the protocol is designed for resilience. If individual agents fail or produce anomalous outputs, the network continues operating with remaining agents. The consensus mechanism naturally handles agent dropout, and monitoring systems alert operators to infrastructure issues.

Question 6

What is the Regime Analysis stage?

Accepted Answer

Regime Analysis is the third stage of the verification lifecycle where agents classify the current match context — such as competitive dynamics, form trends, and situational factors. This contextual framing ensures that subsequent signal validation accounts for the specific conditions surrounding each match.

Question 7

How does Market Synchronization work?

Accepted Answer

Market Synchronization is the fifth protocol stage where agent outputs are cross-referenced against external market signals. This step detects alignment or divergence between the agent network's consensus and broader market indicators, adding an independent validation layer to the verification process.

Question 8

Can new agents join the network dynamically?

Accepted Answer

Yes, the protocol supports dynamic agent registration. New agents undergo a certification and calibration period where their outputs are shadow-tested against the existing network. Once an agent demonstrates consistent performance within acceptable variance, it is promoted to full network participation.

Question 9

How is the protocol versioned and upgraded?

Accepted Answer

The protocol follows semantic versioning with backward-compatible updates. Major upgrades go through a proposal, testing, and staged rollout process. Institutional deployments can pin to specific protocol versions, and all changes are documented in the public protocol changelog.

Question 10

What metrics are tracked for agent performance?

Accepted Answer

The protocol tracks per-agent accuracy rates, consensus contribution scores, signal-type performance, calibration drift, response latency, and post-match audit outcomes. These metrics are continuously updated and used for agent ranking, calibration adjustments, and network health monitoring.

智能体网络协议

8 个阶段。一个真相。

查询

信号生成

态势分析

跨智能体验证

市场同步

执行授权

赛后审计

自主报告

四层智能

Interface Layer

Agent Coordination Layer

Intelligence Layer

Data & Verification Layer

智能体如何验证

Multi-Source Observation

Independent Analysis

Consensus Scoring

Verification Gate

协议指标

Frequently Asked Questions