TelemetryDeck FAQs

Question 1

What types of analytics can I perform using TQL through this integration?

Accepted Answer

You can execute a wide range of TQL queries including timeseries, topN, groupBy, funnel, retention, scan, and experiment analytics, directly driven by AI models.

Question 2

Can I work with my saved insights from TelemetryDeck?

Accepted Answer

Yes, the `get_insight_query` tool allows you to retrieve the TQL query object for any saved insight by its ID. This is useful for inspecting, re-running, or building upon existing insights.

Question 3

How is access to my TelemetryDeck data secured?

Accepted Answer

Secure authentication is required for every tool call, utilizing your TelemetryDeck bearer token and a specific app ID, ensuring only authorized access to your data.

Question 4

What are the main benefits of integrating TelemetryDeck with AI?

Accepted Answer

It empowers AI models to programmatically access and interpret complex app telemetry data, facilitating automated analysis, insights generation, and data-driven decision-making without manual intervention.

Question 5

What is TelemetryDeck for AI models?

Accepted Answer

TelemetryDeck is an integration that enables AI models (like Claude) to directly query and analyze your application's telemetry data using the powerful TelemetryDeck Query Language (TQL).

TelemetryDeck

主要功能

使用案例

TelemetryDeck

主要功能

使用案例