> For the complete documentation index, see [llms.txt](https://docs.awenetwork.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.awenetwork.ai/awe-ecosystem/800402-initiative/agentbeat.md).

# AgentBeat

**AgentBeat** is an analytics platform for **ERC-8004 agents**. It tracks agent activity, verification, decentralization, and x402 payment flows to help the ecosystem understand which agents are active and economically useful.

### Metrics tracked

#### Per-agent

* Networks
* Verification type
* Decentralization stage
* Admin type
* 7D activity
* 7D x402 transactions

#### Ecosystem-wide

* Total x402 volume
* Active agents
* Average decentralization

### Why AgentBeat

AgentBeat helps distinguish real, usable agents from inactive deployments by focusing on observable activity and standardized metrics.

### Submit an agent

Builders can submit their ERC-8004 agents with project info, onchain details, metadata, and creator contact information.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.awenetwork.ai/awe-ecosystem/800402-initiative/agentbeat.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
