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Integration

Orchestrate data pipelines and manage job runs with Dagster connected to agents and the rest of your stack

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+.

19 operations0 triggersAuth: api-key

About Dagster

Dagster is a data orchestration platform designed for building, testing, and monitoring data pipelines.

What teams automate with Dagster

  • Orchestrate data pipelines: Define and run jobs composed of ops and assets with full dependency tracking
  • Monitor executions: Track run status, inspect logs, and debug failures step by step
  • Manage schedules and sensors: Automate pipeline triggers on a cron schedule or in response to external events
  • Reexecute selectively: Resume failed pipelines from the point of failure without rerunning successful steps

What can you do with the Dagster integration?

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.

Automate & integrate Dagster

Compose Dagster with the rest of your stack using visual workflows and agents.

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Read & query data

Pull live records, search entities, and keep downstream systems up to date.

  • Get Run
  • Get Run Logs
  • List Runs
  • List Jobs
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Manage lifecycle

Archive, delete, merge, and reconcile records with guardrails and approvals.

  • Delete Run
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Analyze & report

Aggregate metrics, export datasets, and feed BI or agent summaries.

  • Report Asset Materialization
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Automate on events

React to webhooks and polling triggers the moment something happens.

  • Launch Run
  • Reexecute Run
  • Terminate Run
  • Start Schedule
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Dagster analyze & report

Aggregate metrics, export datasets, and feed BI or agent summaries.

  • List Schedules
  • Start Schedule
  • Stop Schedule
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Dagster automate on events

React to webhooks and polling triggers the moment something happens.

  • Stop Schedule
  • List Sensors
  • Start Sensor

Build Dagster agents

Ship AI workflows that read, decide, and act on Dagster — with guardrails and human approvals where you need them.

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 Slack.

Explore templates

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 stale, and opens a Linear ticket for the dat...

Explore templates

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.

Explore templates

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.

Explore templates

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.

Explore templates

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.

Explore templates

Ready to solve your Dagster integration challenges?

Connect Dagster once, then reuse the same blocks across agents, workflows, and templates.

Challenges AptlyStar solves

Keep Dagster in sync with the rest of your stack

Teams lose hours copying data between Dagster and CRMs, inboxes, and spreadsheets. AptlyStar connects Dagster to 19+ operations so updates flow automatically.

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Scale Dagster automations without custom glue code

One-off scripts break when APIs change. Use visual workflows, retries, and typed blocks so Dagster automations stay maintainable as you grow.

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Give AI agents secure, scoped access to Dagster

Agents need live Dagster context without over-permissioned keys. Connect credentials once, apply guardrails, and let agents act through audited workflow runs.

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Featured Dagster templates

Ready-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 ...

Browse templates

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...

Browse templates

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.

Browse templates

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.

Browse templates

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.

Browse templates

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.

Browse templates

Dagster plugs into the whole AptlyStar platform

Visual workflow builder

Design multi-step automations with blocks, branches, loops, and human-in-the-loop checkpoints — no boilerplate code.

Learn more

AI agents that act

Give agents tools, memory, and guardrails so they can plan, call integrations, and finish tasks across your stack.

Learn more

Knowledge & observability

Ground agents in docs and tables, then trace every run with logs, evaluations, and deployment controls.

Learn more

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See Dagster working across your stack

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