How to connect ChatGPT, Claude, Copilot and Grok to RavenPack company sentiment
Add the Bigdata MCP server to ChatGPT, Claude, Microsoft Copilot, Grok or your own agent, then ask how news coverage of a company is moving: whether sentiment is turning, what is driving it and how unusual the attention is.
See what your agent gets back
Example answer from an AI agent connected to Bigdata.com. Every claim cites its source.
How is the news flow on Microsoft trending, and what is driving it?
RavenPackRavenPack's 90-day read on Microsoft is slightly negative but steady: a sentiment score of -0.16 against a baseline of -0.18, momentum of +0.02, with media attention 5.7% below its baseline across 63,084 documents 1. The negative weight comes from the 14 October coverage of Microsoft's takedown of Chinese-language phishing platforms, which the model scores as negative news even though it is a defensive action, and from the California tax refund case; the positive weight comes from BT deepening its security partnership with Microsoft, Barclays raising its price target to $600 from $512, and the run of record-high stock stories 1.
What's covered
Daily sentiment
Mean daily sentiment for a company, derived from news with rule-based and machine-learning methods.
Sentiment pressure
Abnormal sentiment intensity, which shows when coverage moves away from its normal tone.
Abnormal media attention
How unusual the volume of coverage is for that company.
Real-time tearsheet
A 90-day read of news sentiment with scores, media attention, a summary of what is driving it and the articles behind it.
Public and private companies
Any company with enough recent media coverage.
About Company sentiment
Connect it through the Bigdata MCP server and your agent can tell you whether coverage of a company is turning positive or negative, why, and how unusual the attention is, for public and private companies alike. Sentiment measures likely market impact, not the tone of the language.
About RavenPack
RavenPack, the company behind Bigdata.com, builds data and AI tools for financial institutions.
Sources from RavenPack
Each source has its own page: what it covers, how far back it goes and how to connect it to your agent.
Connect Company sentiment to your agent
Add the Bigdata MCP server
Add Bigdata.com as a connector in Claude, ChatGPT, Microsoft Copilot or your own agent.
https://mcp.bigdata.com/Ask with these tools
Your agent uses these MCP tools to search this source and cite what it finds.
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Connect through the Bigdata MCP server or API.
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Frequently asked questions
What is RavenPack company sentiment on Bigdata.com?
RavenPack's sentiment analytics for public and private companies: a daily trend signal for backtesting and monitoring, and a real-time tearsheet that explains what is driving coverage, available to AI agents through the Bigdata MCP server and API.
What does the score measure?
Likely market impact, not the tone of the language. It is derived from news with rule-based and machine-learning methods.
Which companies does it cover?
Public and private companies with recent media coverage. The tearsheet flags when a company has too few recent articles for a reliable read.
How do I connect ChatGPT, Claude, Copilot or Grok to RavenPack company sentiment?
Add the Bigdata MCP server to ChatGPT, Claude, Microsoft Copilot or Cursor and sign in. For Grok, add it as a remote MCP tool in the xAI API, using a Bigdata API key. Then ask about a company's sentiment in plain language. Answers cite the articles behind the score.
Is it included in my subscription?
Contact sales@bigdata.com to check which plans include it.
Which sources feed it?
News. The real-time tearsheet leaves out earnings call transcripts and SEC filings, even when they are a company's most relevant recent coverage.
Start building with Bigdata.com
Connect through the Bigdata MCP server or API. Every answer cites its source.
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