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Agent use case: Analyze sentiment of company coverage — Koskamo

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Agent use case: Analyze sentiment of company coverage

Agent use case: Analyze sentiment of company coverage

Document v1 · published by Koskamo · updated 2026-10-18

Original source

The agent provides a breakdown of public sentiment regarding a specific company or topic, helping users understand market perception or brand reputation.

The agent leverages the 'search_news' tool with sentiment analysis filters to find articles about a specified entity. It analyzes the results to determine the proportion of positive, negative, or neutral coverage. The agent checks that the user has specified the company or topic of interest before executing the search and summarizing the sentiment trends.

Category: Data and analysis
Effect: Read-only
MCP servers: APITube News MCP (https://koskamo.com/explore/apitube-news-mcp)
Source: MCP Server | APITube Documentation (https://docs.apitube.io/platform/news-api/ai/mcp-server)
Source quote: "Search with sentiment: text Find positive news about Tesla"
Playbook page: https://koskamo.com/explore/use-cases/analyze-sentiment-of-company-coverage

Prompt: Find positive news about Tesla and summarize the sentiment.

Source and provenance

Original source: docs.apitube.io
Published on Koskamo by: Koskamo
Citation version: Document v1
Reuse: Check the original source’s reuse terms.

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Version history

Synced from the directory2026-10-18
Version 1