Parseable FAQs

Question 1

What is the primary purpose of Parseable's AI agent integration?

Accepted Answer

It enables AI agents and tools to interact with Parseable data streams (logs, metrics, traces) using natural language and structured tool calls, automating data analysis and insights.

Question 2

Is it possible to extend the functionality of Parseable for AI agents?

Accepted Answer

Yes, the system features modular MCP tool registration, allowing for easy extension and addition of new custom tools to enhance agent capabilities.

Question 3

What specific data operations can AI agents perform in Parseable?

Accepted Answer

Agents can list available data streams, execute SQL queries against them, and retrieve schema, statistics, and detailed information for any stream.

Question 4

What types of data streams can AI agents access in Parseable?

Accepted Answer

AI agents can access and manage all Parseable data streams, including logs, metrics, and traces, allowing for comprehensive monitoring and analysis.

Question 5

How does Parseable support integration with various AI agents and tools?

Accepted Answer

Parseable uses a modular MCP (Message Context Protocol) server, supporting both HTTP and stdio modes, making it flexible for integration with diverse AI platforms like GitHub Copilot.

Parseable

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About

Key Features

Use Cases

About

Key Features

Use Cases