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You're in a Slack thread. Someone asks what the error rate did overnight. You know it's in Axiom. You open a tab, remember the dataset name, write the query, wait, copy the number back.
Connect Axiom and ask. Littlebird can query the dataset and bring the number back. The number you need out of your logs arrives inside the conversation you're already having, instead of a tab and a query you have to write.
Littlebird can query a dataset for an error count, so the number arrives in Chat while you're still in the Slack thread. You don't open Axiom, you don't remember the dataset name, you don't write the query.
Littlebird can check a monitor status, so you ask in plain language and skip opening the Axiom UI. The status you need is one question away.
Littlebird can export a dashboard, so the artifact you need to share doesn't require switching contexts. Ask and it's ready.
Littlebird can create or update dashboards, so the change you'd normally make in the Axiom UI happens from Chat instead.
Littlebird can create or update monitors, so the change you'd normally make in the Axiom UI happens from Chat instead.
Open Littlebird Settings. Find Axiom in the integrations list. Authorize the connection. Ask in Chat.
Littlebird also works on its own, without integrations -- paying attention to your active window and transcribing meetings without a bot on the call. You control what it does. Pause context collection, exclude apps, or delete your data at any time. Nothing is collected without your permission.
The app runs on your computer. The memory it builds is encrypted and stored in the AWS cloud.
What can Littlebird do with my Axiom datasets?
Query them and bring back metrics, error counts, or monitor status. You ask in Chat, Littlebird runs the query, and the result arrives without opening Axiom.
Do I need to write queries in Axiom's query language?
No. Ask in plain language in Chat. Ask what the error rate did overnight and Littlebird can look it up.
Connect Littlebird to