Ask your AI about any brand's claim-vs-reality coherence. NES (Net Entropy Score) gives a website brand-consistency score (the claim), recent public news (the reality), and the divergence between them. Tools: get_brand_coherence and compare_brands. Directional read from public signal, not a fraud or financial check. Free.
Scored across 2 tools
Each tool has a clearly distinct purpose: one compares multiple brands side by side, while the other retrieves detailed coherence data for a single brand. No overlap or ambiguity.
Both tools follow a consistent verb_noun pattern (compare_brands, get_brand_coherence), using snake_case throughout. The naming is predictable and clear.
With only 2 tools, the server feels minimal for the domain of brand coherence signals. Additional tools for scanning new brands or listing available brands would enhance coverage, but the current count is borderline acceptable.
The server lacks essential operations: there is no way to scan or add a new brand to the database, nor list which brands are already scanned. Users are limited to querying existing data, leaving clear gaps that hinder full workflow completion.
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.
Inputs: urls (required). Returns: brands
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.
Inputs: url, brand. Returns: brand, claim, reality, divergence
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