The operating systemfor AI Agents
Requests·Customers·Revenue·Health — All in one dashboard.
Total Agents
5
Healthy
4 / 5
Total Requests
12,847
Total Revenue
$2,341.50USDC
Requests by Agent
Revenue by Agent
| Agent | Requests | Health |
|---|---|---|
| SearchBot#12 | 8,420 | |
| DataAgent#7 | 3,102 | |
| CodeReview#23 | 1,325 |
Track every request, down to the customer
See real-time request volume per agent, identify your top customers, and spot traffic patterns with 30-day trend analysis.
Requests Over Time — Last 30 Days
Top Agents by Requests
Total Revenue
$2,341.50USDC
Portfolio ARPU
$0.18/req
Paying Agents
3 / 560%
Top Agents by Revenue
Know exactly what your agents earn
Track USDC revenue per agent, calculate average revenue per request, and see which agents are monetizing across your entire portfolio.
Every endpoint, always monitored
Automatic health checks for every service your agents expose. Track response times and spot errors at a glance.
Health Status
4 / 5healthy
Avg Response
142ms
Error Rate
0.12%
CodeReview #23 — MCP endpoint unhealthy (timeout after 2340ms)
Ship analytics in 3 lines
Install the Python SDK and add one middleware call. Every request your agent handles automatically flows to your GT8004 dashboard — requests, customers, revenue, all captured with zero latency overhead.
pip install git+https://github.com/vataops/gt8004-sdk.gitfrom fastmcp import FastMCP
from gt8004.middleware.mcp import GT8004MCPMiddleware
mcp = FastMCP("my-server")
mcp.add_middleware(GT8004MCPMiddleware.from_env())
@mcp.tool()
def search(query: str) -> str:
return "results..."On-chain Agents
0
Total Requests
0
Total Revenue
$0.00
USDC
Networks
2
Get Started
Your agents are already on-chain.
Now see what they're doing.
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Free forever · No usage limits · No latency overhead