Automation that
finishes the job
A failed step ends a Zap. Spojit checkpoints every step, resumes exactly where it left off, and never fires the same action twice. For teams who have outgrown task-based automation.
Why teams pick Spojit over Zapier
Finishes what it starts
Every step is checkpointed. A crash resumes at the last completed step instead of starting over, so long, multi-day work survives.
Never fires twice
Exactly-once side effects across the write path. A retried charge, shipment or email happens once, even when the step is retried after a failure.
Every action authorized and audited
Agents never reach your tools directly. Every call is checked against your policy before it runs and recorded after, and anything high-risk pauses for a human.
Parallel branches with join
Run independent paths at the same time and merge them back in one run. Zapier deprecated parallel path execution in 2025, so its paths now run one after another, left to right, and never join.
Connect anything, connector or not
Connectors for the tools you already run, and any API behind them. Where no connector exists, Miraxa reads the vendor documentation and builds the integration for you, with the auth handled.
Billed by time, not by task
You pay for execution time, and AI credits only on the steps that actually use AI. A step in Direct Mode never touches a model, so it costs no credits at all, and a multi-step workflow does not multiply your bill the way per-task billing does.
Start on the cloud, move to a private VPC
Begin on the multi-tenant cloud in minutes. When you need complete isolation or a specific data-residency region, move to a dedicated single-tenant deployment in a private VPC, with an SLA. Zapier runs multi-tenant in the US only.
Spojit vs Zapier
Reflects publicly available information as of August 2026. Zapier is a trademark of its owner; its features and pricing may have changed since. Check their site for the latest.
Which one fits you
Both can automate your stack. Here is the honest call.
Choose Spojit if the work has to finish, must not fire twice, and you need to prove afterwards what the agent actually did.
- A half-finished run costs you money, orders or customer trust
- You cannot risk a retry double-charging or double-shipping
- You need to show an auditor what an agent did, action by action
- You need your own tenant or a specific data-residency region
- Per-task pricing gets expensive as your volume grows
Zapier still fits
- You mainly connect common apps that already have a connector
- Your automations are simple, mostly trigger-to-action steps
Every run, on the same guarantees
Outgrown task-based automation?
Start free and build an AI workflow that adapts, with no per-task meter on every step. No card needed.