Read & query data
Pull live records, search entities, and keep downstream systems up to date.
- Get Run
- Get Run Logs
- List Runs
- List Jobs
Integration
Connect to a Dagster instance to launch job runs, monitor run status, list available jobs across repositories, terminate or delete runs, reexecute failed runs, fetch run logs, and manage schedules and sensors. API token only required for Dagster+.
Dagster is a data orchestration platform designed for building, testing, and monitoring data pipelines.
What can you do with the Dagster integration? Dagster is a data orchestration platform designed for building, testing, and monitoring data pipelines. It provides a unified model for defining data assets, scheduling jobs, and observing pipeline execution — whether running locally or deployed to Dagster+. With Dagster, you can: AptlyStar exposes 19 operations so teams can automate end-to-end processes without maintaining brittle scripts.
Compose Dagster with the rest of your stack using visual workflows and agents.
Pull live records, search entities, and keep downstream systems up to date.
Archive, delete, merge, and reconcile records with guardrails and approvals.
Aggregate metrics, export datasets, and feed BI or agent summaries.
React to webhooks and polling triggers the moment something happens.
Aggregate metrics, export datasets, and feed BI or agent summaries.
React to webhooks and polling triggers the moment something happens.
Ship AI workflows that read, decide, and act on Dagster — with guardrails and human approvals where you need them.
Create a scheduled daily workflow that pulls Dagster run statuses for the previous day, identifies failed and skipped runs, and posts a digest with links to the worst offenders in Slack.
Explore templatesBuild a scheduled workflow that polls Dagster assets, checks each critical asset’s latest materialization timestamp against a freshness threshold, alerts when an asset becomes stale, and opens a Linear ticket for the dat...
Explore templatesCreate a workflow that triggers a Dagster job with run parameters when an upstream condition is satisfied, polls until completion, and writes the run outcome to a control table.
Explore templatesBuild a scheduled weekly workflow that pulls Dagster run durations, calculates compute cost per pipeline, and writes a weekly cost dashboard to a finance review file.
Explore templatesCreate a workflow that exports Dagster asset lineage into a graph database for cross-pipeline impact analysis when an upstream source schema changes.
Explore templatesBuild a scheduled workflow that lists Dagster sensors, checks their tick history, and alerts Slack when a sensor stops emitting ticks unexpectedly.
Explore templatesConnect Dagster once, then reuse the same blocks across agents, workflows, and templates.
Teams lose hours copying data between Dagster and CRMs, inboxes, and spreadsheets. AptlyStar connects Dagster to 19+ operations so updates flow automatically.
Learn moreOne-off scripts break when APIs change. Use visual workflows, retries, and typed blocks so Dagster automations stay maintainable as you grow.
Learn moreAgents need live Dagster context without over-permissioned keys. Connect credentials once, apply guardrails, and let agents act through audited workflow runs.
Learn moreReady-to-use workflow templates that include Dagster, just like in the app.
Dagster pipeline status digest
Create a scheduled daily workflow that pulls Dagster run statuses for the previous day, identifies failed and skipped runs, and posts a digest with links to the worst offenders in ...
Dagster asset freshness watcher
Build a scheduled workflow that polls Dagster assets, checks each critical asset’s latest materialization timestamp against a freshness threshold, alerts when an asset becomes stal...
Dagster job kickoff orchestrator
Create a workflow that triggers a Dagster job with run parameters when an upstream condition is satisfied, polls until completion, and writes the run outcome to a control table.
Dagster cost dashboard
Build a scheduled weekly workflow that pulls Dagster run durations, calculates compute cost per pipeline, and writes a weekly cost dashboard to a finance review file.
Dagster lineage map
Create a workflow that exports Dagster asset lineage into a graph database for cross-pipeline impact analysis when an upstream source schema changes.
Dagster sensor health watcher
Build a scheduled workflow that lists Dagster sensors, checks their tick history, and alerts Slack when a sensor stops emitting ticks unexpectedly.
Design multi-step automations with blocks, branches, loops, and human-in-the-loop checkpoints — no boilerplate code.
Learn moreGive agents tools, memory, and guardrails so they can plan, call integrations, and finish tasks across your stack.
Learn moreGround agents in docs and tables, then trace every run with logs, evaluations, and deployment controls.
Learn moreDowndetector
Monitor outages and service status with Downdetector
CloudWatch
Query and monitor AWS CloudWatch logs, metrics, and alarms
Rootly
Manage incidents, alerts, and on-call with Rootly
Sentry
Manage Sentry issues, projects, events, and releases
UptimeRobot
Monitor uptime, manage incidents, maintenance windows, and status pages
Data Enrichment
Enrich data with a Data enrichment
Databricks
Run SQL queries and manage jobs on Databricks
Datadog
Monitor infrastructure, applications, and logs with Datadog
Connect Dagster to agents and workflows in minutes — no credit card required.