What to Ask Leina to Do with Axiom
Copy a prompt, add your details, and send it to Leina in your connected team chat.
Run an APL query for a chosen window and organize evidence related to your incident question.
Run this Axiom APL query for [start time] to [end time]: [APL query]. Explain the results for [investigation question] and identify missing context.
List datasets and compare their metadata with your expected logging inventory.
List Axiom datasets and read [dataset IDs or names]. Compare their metadata with this expected logging inventory: [inventory].
Get Started with Axiom
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Connect Your Account
Connect with an Axiom API token.
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Try a Task
Tell Leina what you need in your team chat. Include the source, destination, and expected result.
Set Up Leina in Your Chat → -
Check the Result
Review the result and any changes in the connected app.
Supported Axiom Capabilities
Axiom datasets store queryable event data. APL results and dataset metadata provide a basis for incident analysis while keeping the requested time window explicit.
- Execute APL Queries
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Run a query with time windows, variables, and pagination options.
- Run Apl Query
- Read Dataset Information
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List datasets and retrieve one dataset by ID or name.
- List Datasets
- Get Dataset
View All 5 Actions
- List Datasets
- Get Dataset
- Create Dataset
- Delete Dataset
- Run Apl Query
Frequently Asked Questions
What should I provide for log analysis?
Provide a valid APL query, time window, and investigation question. If you need query drafting, include dataset and field information.
Can AI distinguish findings from assumptions?
Ask it to cite query values and mark conclusions that need additional data or context.
Does this establish ongoing incident monitoring?
No. Queries run when requested. Continuous monitoring and alert rules are not part of these tasks.
Your AI employee for Axiom
Tell Leina what you need in your team chat. Include the source, destination, and expected result.