Launch AI-first workflows for API workflows in minutes. Orchestrate webhooks, retries, and data transforms so services stay in sync without custom glue code.
Built for Product, Engineering, and Ops Teams
Kick off flows from webhooks, schedules, or event streams
AI steps transform payloads, generate mappings, and summarize logs
Handle auth, rate limits, and idempotency with built-in controls
430+ connectors for CRMs, billing, support, data, and dev tools
Sensitive details never appear in logs due to data masking.
Run in our secure cloud or self-host for complete control.
Ship Integrations Faster With Less Maintenance
API integrations fail when payloads drift, tokens expire, or limits change. Automation centralizes triggers, mappings, and retries so your team delivers reliable workflows and clear observability.
SOC 2 Type II cloud or self-hosted deployment
Disconnected apps slow teams down and create errors.
Activepieces fixes that by giving you 400+ integrations in one platform.
Accept inbound webhooks, poll APIs on a schedule, or process queue events. Route requests by headers, path params, or payload content to the right downstream actions.
Normalize JSON, CSV, and form-data with visual steps or optional JavaScript. Enrich requests with lookups to internal services or third-party APIs before forwarding.
Configure retries with backoff, circuit breakers, and dead-letter queues. Capture request-response pairs, metrics, and alerts so teams can diagnose issues quickly.
Frequently asked questions
What can we automate for API workflows?
You can ingest webhooks, transform and enrich payloads, call multiple services in sequence or parallel, and write results back to your systems. This removes brittle custom scripts and centralizes logic
How do we manage authentication and security?
Use managed secrets for keys and tokens, per-environment variables, and role-based access. Flows can refresh tokens automatically and sign requests to downstream services.
How do we handle rate limits and failures gracefully?
Configure retries with exponential backoff, queue overflow to DLQs, and branch on status codes. You can also throttle requests and enforce idempotency keys to avoid duplicates.
Can we extend transformations with code when needed?
Yes. Most steps are visual, and you can add JavaScript for custom transforms, hashing, or schema validation. Reusable pieces keep logic consistent across flows.
How do we monitor and debug runs?
Each run stores inputs, outputs, and logs. Set alerts for failures or latency spikes, export logs to your observability stack, and roll back versions instantly if something breaks.