brand_equity_voice_share_calculator

Calculates brand equity voice share for CMOs by analyzing mentions across 500K+ news articles and forums from Common Crawl and Wayback Machine. Inputs include brand name, competitors, and time range. Outputs voice share percentage, sentiment distribution, and top sources. Ideal for competitive be...

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp
Low RISK CLASS
Category Read
Parameters 52 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/brand-equity-voice-share-calculator.md

What brand_equity_voice_share_calculator does on Gapup Mcp

AI agents call brand_equity_voice_share_calculator to retrieve information from Gapup Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
async boolean If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
brand string Yes
time_range object Yes
competitors array
include_forums boolean

Parameters from the server's own tool schema.

Why brand_equity_voice_share_calculator is rated Low

This tool reads and aggregates publicly available data (news articles, forums) to compute share-of-voice metrics and sentiment analysis. It performs no writes, executions, deletions, or financial transactions — purely analytical/read-only output of percentages, sentiment distributions, and source lists.

From the tool's definition Calculates brand equity voice share by analyzing mentions across 500K+ news articles and forums from Common Crawl and Wayback Machine

Questions about brand_equity_voice_share_calculator

What does the brand_equity_voice_share_calculator tool do? +

Calculates brand equity voice share for CMOs by analyzing mentions across 500K+ news articles and forums from Common Crawl and Wayback Machine. Inputs include brand name, competitors, and time range. Outputs voice share percentage, sentiment distribution, and top sources. Ideal for competitive benchmarking and brand visibility tracking. Pass async:true to avoid timeout. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.

What parameters does brand_equity_voice_share_calculator accept? +

brand_equity_voice_share_calculator accepts 5 parameters: async, brand, time_range, competitors, include_forums. Required: brand, time_range. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on brand_equity_voice_share_calculator? +

Register the Gapup MCP server in PolicyLayer and add a rule for brand_equity_voice_share_calculator: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Gapup Mcp. Nothing to install.

What risk level is brand_equity_voice_share_calculator? +

brand_equity_voice_share_calculator is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit brand_equity_voice_share_calculator? +

Yes. Add a rate_limit block to the brand_equity_voice_share_calculator rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block brand_equity_voice_share_calculator completely? +

Set action: deny in the PolicyLayer policy for brand_equity_voice_share_calculator. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides brand_equity_voice_share_calculator? +

brand_equity_voice_share_calculator is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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