For the complete documentation index, see llms.txt. This page is also available as Markdown.

2.2. Orbit MCP Tools

Enterprise-grade agentic chat service built on MCP, available in Insight's Agentic Chat.

The Orbit Enterprise Agentic Chat Tool MCP is an enterprise-grade agentic conversational service built upon the Model Context Protocol (MCP). It seamlessly integrates with internal AI assistants, research terminals, and automated workflows, delivering multi-turn contextual reasoning, enterprise data source invocation, tool-chain orchestration, and structured output.

Purpose-built for professional domains such as investment research, compliance, risk management, and advisory services, the service is currently deployed within the Agentic Chat module of the Insight platform.

We are continuously expanding our portfolio of professional tools. The current stable releases are shown below — please refer to the table for the latest changes.

Tool Name
Description
Credit
Notes

Company Search

Query company info via ISIN / Ticker / LEI / Name to obtain orbit_entity_id, required as a prerequisite for all other tools

1

Get Filings Data

Internal proprietary vector search across 308 document types (filings, announcements, ESG reports, etc.). Returns AI-generated summaries, evidence citations, and URL

1

Max 1-year date range per call; up to 10 years of historical data; typical response time 30–120s

Bot News Tracker

AI-powered daily news sentiment tracker — generates sentiment scores (0–100), classifies positive/negative events, identifies competitors, risk factors, and provides buy/hold/sell signals

1

Max 31-day range per call; up to 3 years of historical data

Get Eod Price

Retrieves end-of-day (EOD) stock price data with flexible time windows: 1D / 5D / 1M / 6M / YTD / 1Y / 5Y / MAX

0.5

Google News

Searches Google News for financial and business coverage with multi-keyword filtering, date range, and multi-language support

0.5

Note: Enterprise subscribers enjoy Agentic Chat at no cost. Additional charges apply based on task complexity, billed by tool usage × invocation count.

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