BenchRank
#5 in Agent PlatformsUpdated 2026-08

StackAI

by StackAI · No-code platform for building governed enterprise AI agents

BenchRank score

61.4 — BenchRank score out of 100

Screenshots of StackAI

Homepage · StackAI

Homepage of StackAI

Overview

StackAI is a no-code platform for building and running AI agents inside enterprise systems. Workflows chain inputs, document loaders, LLM steps and actions such as sending a summary email, with human review at chosen decision points. It connects to over 100 enterprise systems and runs multi-tenant, in a customer VPC, or on-premise.

Best for
Enterprise IT and architecture teams in regulated industries building governed AI agent workflows
Pricing
Free plan at $0/month with 500 runs, 2 projects and 1 seat; the Enterprise plan is a custom quote with no figure published.
Runs on
WebSelf-hosted

Strengths and trade-offs

Strengths

  • Over 100 enterprise integrations for reading and writing systems
  • Deploys multi-tenant, in a VPC, or on-premise
  • SOC 2 Type II, HIPAA, GDPR and ISO 27001 certified
  • No-code builder and not locked to a single LLM provider

Trade-offs

  • Only two plans; Enterprise is quote-only with no published price
  • Free plan caps at 500 runs, 2 projects and 1 seat
  • SSO, access control, VPC and on-prem sit behind the Enterprise plan
  • Free-plan support is community Discord only

How StackAI markets itself

A structured read of the promise, proof and page design on StackAI’s captured homepage.

Homepage capture

“From process to AI agent, in minutes”

  • Angle: Speed / time-to-value
  • Hero: Product screenshot

Pricing

Published plans and prices from StackAI’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Pricing transparency

    Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

This doesn’t look right — report a problem with StackAI’s score

Where this comes from

The StackAI pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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