Spojit
Comparison

Spojit vs Lindy vs Gumloop

Three AI-native automation platforms compared, on agents, durability, pricing, and connecting any API. No winner declared; pick the one that matches how you work.

The short version

Who each one is for

Spojit

Teams that need durable, branching agent workflows that hold up at scale.

Lindy

Conversational AI assistants for email, meetings, and CRM.

Gumloop

Lightweight, AI-first automations for scraping and GTM tasks.

Side by side

The differences that matter

Feature
Spojit
Lindy
Gumloop
AI approach
Agents in durable, branching orchestration
Conversational AI assistants
AI-first node canvas and agents
Durable execution
Checkpointed; resumes after a crash
Durability via Temporal Cloud
Run logs and error shields
Parallel branches with join
Fan out and join in one run
Single path per run; async multi-agent
Loop mode over list items
Connect a tool with no integration
Miraxa builds the typed node
HTTP requests and webhooks
AI-generated custom nodes, or HTTP
AI operating layer
Builds, debugs, and optimizes workflows
Builds and runs; manual debugging
Builds on a canvas; manual debugging
App catalog
50+ connectors and 500+ tools, plus any API
~250 native, plus Pipedream
100+ nodes and integrations
Pricing model
Execution time, plus AI credits for AI steps
Per-seat from $49.99/mo
Credits; from $37/mo
Deployment
Dedicated tenant, VPC, region (Enterprise)
Cloud only; SOC 2, HIPAA
Cloud; VPC on Enterprise
Best for
Durable, multi-step agent workflows
AI assistants for email, meetings, CRM
Lightweight AI-first GTM automations

Reflects publicly available information as of June 2026. Lindy and Gumloop are trademarks of their respective owners; figures are approximate and may have changed. Check each vendor for the latest.

The AI-native option

Where Spojit fits

All three put AI at the center. Lindy leans into conversational assistants, and Gumloop into a fast, AI-first canvas. Spojit pairs tool-calling agents with durable execution: parallel branches that join, runs you can inspect, predictable pricing, and any API reachable through Miraxa even when no connector exists. If AI agents need to do real work reliably, that is the difference.