NoiseFloor — market attention and evidence checks
Offline market diagnostics, news repetition, data coverage and statistical checks for AI agents.
Should I use this
Quality & Safety
A
Findings (3)
- LOWTool 'did_it_change' description lacks action verbin did_it_change
- LOWTool 'dyson_reference' description lacks action verbin dyson_reference
- LOWTool 'which_metrics_matter' description lacks action verbin which_metrics_matter
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
~2,631Tokens (tool definitions)
~2.3 KBTypical response size
Significant attention impact (2.06% of 128k context)
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"noisefloor": {
"command": "uvx",
"args": [
"noisefloor"
]
}
}
}Runnable packages
pypinoisefloor
0.4.3stdioRemote endpoints
https://api.seiche.info/noisefloor/mcpstreamable-httpWhat it can do
Tool inventory
No publishable tool enumeration has been recorded.
Community
Evidence
Recent observations
failed observationversion not recorded—
verifiedversion not recorded10 tools