Connect Datalust Seq to Your AI Agent

Turn event details and aggregate results into an incident brief.

15 tools API key

Try a Datalust Seq Task

Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.

oo Skill Datalust Seq

Prepare an incident log brief

Collect relevant events and group recurring errors for investigation.

/oo Datalust Seq: Search Seq for [filter] during [UTC time range]. Inspect key events and summarize recurring errors, affected components and the sequence of notable events. Include event IDs and timestamps for follow-up.

Explain a log query result

Turn a Seq query table into an understandable trend summary.

/oo Datalust Seq: Run Seq query [query] for [UTC time range]. Explain the returned columns and summarize the main patterns in the rows or series, including the query and time window in the report.

Start Working with Datalust Seq

  1. Install OOMOL

    Set up oo CLI and the oo Skill in your agent.

    Install OOMOL →
  2. Connect Datalust Seq

    Connect with a Seq API key and the public HTTPS URL of your Seq instance.

    Connect Datalust Seq →
  3. Give Your Agent a Task

    Use /oo with the pages to read, the changes to make, and where to save the result.

    Connection Guide →

Choose Your Agent

  • The key needs permission to read the events and run the queries you request.
  • Specify UTC time ranges to keep log searches and aggregate comparisons aligned.

Datalust Seq Tools

Read Seq events by filter and time range, inspect individual events and execute Seq queries. AI can organize error patterns, timestamps and query tables into a focused investigation report.

Event investigation

Search events and inspect individual log details.

Query analysis

Retrieve query columns, rows and series for aggregate analysis.

15 tools

Search Events

Search a page of Seq events using a filter, signal, time range, or cursor.

datalust.search_events

Get Event

Read one Seq event by its event identifier.

datalust.get_event

Execute Query

Execute a Seq SQL-style query and return its structured JSON result.

datalust.execute_query

Ingest Event

Ingest one structured log event into Seq using compact log event format.

datalust.ingest_event

Ingest Events

Ingest a JSON array of structured log events as one newline-delimited CLEF batch.

datalust.ingest_events

List Signals

List saved Seq signals visible to the API key.

datalust.list_signals

Get Signal

Read one saved Seq signal by its identifier.

datalust.get_signal

Create Signal

Create a Seq signal while preserving server-provided template defaults.

datalust.create_signal

Update Signal

Update selected fields on a Seq signal while preserving unspecified fields.

datalust.update_signal

Delete Signal

Delete a Seq signal by its identifier.

datalust.delete_signal

List Saved Queries

List saved Seq SQL queries visible to the API key.

datalust.list_saved_queries

Get Saved Query

Read one saved Seq SQL query by its identifier.

datalust.get_saved_query

Create Saved Query

Create a saved Seq SQL query while preserving server-provided template defaults.

datalust.create_saved_query

Update Saved Query

Update selected fields on a saved Seq SQL query while preserving unspecified fields.

datalust.update_saved_query

Delete Saved Query

Delete a saved Seq SQL query by its identifier.

datalust.delete_saved_query

Frequently Asked Questions

What helps focus an incident search?

Provide the UTC incident window and a filter such as the relevant component or error condition. A known event ID can anchor a closer inspection.

Can AI explain an existing Seq query?

Supply the query and time range. The report can explain its returned columns, compare groups and summarize patterns in rows or time series.

Does this set up continuous incident monitoring?

These tasks inspect events and execute queries when requested. They do not establish a continuous alert workflow.

Connect Datalust Seq

About Datalust Seq ↗