Agentic Index
Gumloop vs StackAI (2026)
Both score 11.5 of 14 as visual no code agent platforms at similar prices, which makes this a genuine coin toss on features.
Gumloop builds AI powered pipelines and agents without code, from 37 dollars a month with a free tier of 5,000 credits. StackAI builds and deploys workflows and agents on enterprise data, free to 500 runs a month then enterprise custom per seat. Gumloop leans toward automation pipelines; StackAI leans toward enterprise data grounding, and the free tiers are generous enough on both sides to just try them.
Choose Gumloop if
- Automation pipelines chaining steps is closer to what you are building.
- Five thousand free credits is a more generous evaluation than 500 runs.
- Published pricing at 37 dollars avoids an enterprise conversation.
Choose StackAI if
- Grounding agents in enterprise data is the specific requirement.
- Enterprise per seat pricing fits how you will roll this out.
- Deployment onto internal data sources is the harder half for you.
| At a glance | Gumloop | StackAI |
|---|---|---|
| Category | Agent builder | Agent builder |
| Entry price | From $37/mo · free tier (5,000 credits) | Free (500 runs/mo) · Enterprise custom (per-seat) |
| Free / trial | Free | Free |
| Pricing confidence | public partial | contact only |
| Feature | G Gumloop |
S StackAI |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Partial | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit
App Policies (April 2026) and skill permission roles — Editor, Viewer, Use Only — (June 2026) confirm first-class human oversight and governance controls. |
Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit | Full / Explicit |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | G Gumloop |
S StackAI |
|---|---|---|
|
Entry price Lowest public entry point |
From $37/mo · free tier (5,000 credits) | Free (500 runs/mo) · Enterprise custom (per-seat) |
|
Pricing confidence How public the numbers are |
Public — partial | Contact only |
|
Billing Primary billing axis |
credits | runs |
|
Variable cost Workload / overage exposure |
High variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | Mixed |