coherence-signal
A brand's claim (website coherence) vs its reality (recent news), and the divergence.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
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": {
"coherence-signal": {
"url": "https://api.netentropyscore.com/mcp"
}
}
}Remote endpoints
https://api.netentropyscore.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (2)
🟢get_brand_coherence(url, brand)
Get the NES claim-vs-reality coherence signal for one brand: its website coherence score (the claim), recent public reality (matched news events), and the divergence between them. High divergence means the brand presents as coherent while its reality is turning negative. Directional opinion from public signal; not a fraud or financial check. Returns 'no read on file' for brands never scanned.
Input Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "Brand website URL or domain, e.g. https://acme.com"
},
"brand": {
"type": "string",
"description": "Brand name, used if no URL is given."
}
}
}Output Schema
{
"type": "object",
"properties": {
"brand": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"url": {
"type": "string"
},
"canonical": {
"type": "string"
}
}
},
"claim": {
"type": "object",
"description": "What the brand says about itself via its website.",
"properties": {
"brand_consistency_score": {
"type": "integer",
"description": "0-100 website brand consistency, higher = more consistent"
},
"scale": {
"type": "string"
},
"confidence": {
"type": "integer"
},
"tier": {
"type": "string"
},
"summary": {
"type": "string"
}
}
},
"reality": {
"type": "object",
"properties": {
"index": {
"type": "integer",
"description": "signed; negative = reality trending bad"
},
"window_days": {
"type": "integer"
},
"recent_events": {
"type": "array",
"items": {
"type": "object",
"properties": {
"type": {
"type": "string"
},
"severity": {
"type": "string"
},
"at": {
"type": "string"
},
"notes": {
"type": "string"
}
}
}
}
}
},
"divergence": {
"type": "object",
"properties": {
"score": {
"type": "number"
},
"direction": {
"type": "string"
},
"interpretation": {
"type": "string"
}
}
}
}
}⚪compare_brands(urls)
Compare the NES coherence signal for several brands side by side (claim, reality, divergence for each). Presents the data; it does NOT recommend one brand over another. The caller decides.
Input Schema
{
"type": "object",
"properties": {
"urls": {
"type": "array",
"items": {
"type": "string"
},
"description": "Brand URLs or domains to compare (up to 8)."
}
},
"required": [
"urls"
]
}Output Schema
{
"type": "object",
"properties": {
"brands": {
"type": "array",
"items": {
"type": "object",
"properties": {
"brand": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"url": {
"type": "string"
},
"canonical": {
"type": "string"
}
}
},
"claim": {
"type": "object",
"description": "What the brand says about itself via its website.",
"properties": {
"brand_consistency_score": {
"type": "integer",
"description": "0-100 website brand consistency, higher = more consistent"
},
"scale": {
"type": "string"
},
"confidence": {
"type": "integer"
},
"tier": {
"type": "string"
},
"summary": {
"type": "string"
}
}
},
"reality": {
"type": "object",
"properties": {
"index": {
"type": "integer",
"description": "signed; negative = reality trending bad"
},
"window_days": {
"type": "integer"
},
"recent_events": {
"type": "array",
"items": {
"type": "object",
"properties": {
"type": {
"type": "string"
},
"severity": {
"type": "string"
},
"at": {
"type": "string"
},
"notes": {
"type": "string"
}
}
}
}
}
},
"divergence": {
"type": "object",
"properties": {
"score": {
"type": "number"
},
"direction": {
"type": "string"
},
"interpretation": {
"type": "string"
}
}
}
}
}
}
}
}Community
Evidence