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Adapt vs Sierra

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Adapt has one; Sierra prices on request
Public API
Both have one
Best fit
Adapt: Engineering orgs that want one agent reachable from Slack, GitHub and Linear · Sierra: Consumer brands and financial-services companies with high-volume support across chat and voice
Platforms
Adapt: Web, Slack app · Sierra: Web
Trust score
About even — Adapt 91, Sierra 90

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactAdaptSierra
CategoryAgent Frameworks & OrchestrationAI Support Chatbots
Pricing modelFreemiumContact
Starts at$50/mo—
Public APIYesYes
Trust score91 / 10090 / 100
PlatformsWeb, API, Slack appWeb, API
CompanyAdapt, Inc.Sierra Technologies, Inc.
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Adapt

Adapt is the rare agent platform that charges for usage instead of seats, which suits teams where a handful of heavy users carry the load. The routing layer and microVM sandboxes are the substance; the integration model, plain TypeScript files in your repo, means you are not locked into a visual builder. The catch is that spend is unpredictable by design and the entry Pro commitment starts at $50 a month.

Pros

  • Router chooses between frontier and open-weight models per task rather than pinning one model
  • MicroVM sandboxes with persistent filesystems, scoped secrets and cron scheduling
  • Integrations are TypeScript files you own, scaffolded by one command
  • Usage-based credits with unlimited seats, so read-only users cost nothing
  • Self-host, VPC and on-prem options alongside the managed cloud

Cons

  • Credit spend scales with usage and the Pro band tops out at $5,000 a month
  • No per-seat option for teams that budget by headcount
  • Company founding year and team size are not published

Sierra

Sierra is the enterprise end of the support-agent market: the pitch is not a chatbot but an agent that can actually change an order or a policy inside your systems, priced on what it resolves. The customer list and the certification wall are real signals that large regulated companies have put it in front of their users. It is a procurement, not a purchase - no public price, no trial, and an integration project before anything goes live - so a company without a sizeable support operation has nothing to buy here.

Pros

  • Agents take actions in order, billing and account systems, not just answer questions
  • One agent runs across chat, SMS, WhatsApp, email, voice and ChatGPT
  • Outcome-based pricing aligns the bill with resolutions
  • Ghostwriter drafts agents from existing SOPs and transcripts, and the founders' track record is unusually strong

Cons

  • No public pricing, trial or self-serve path
  • Outcome pricing needs a contract definition of 'resolved' that favours neither side - read it closely
  • Integration with core systems is a project with real lead time
  • Vendor lock-in is high once customer memory and policies live in its context engine

Which one fits

Choose Adapt if you need

  • Engineering orgs that want one agent reachable from Slack, GitHub and Linear
  • Teams that need code execution with real filesystems and secrets
  • Companies with VPC or on-prem deployment requirements

Choose Sierra if you need

  • Consumer brands and financial-services companies with high-volume support across chat and voice
  • Support leaders who want to pay per resolved case instead of per agent seat
  • Regulated industries that need HIPAA, PCI and ISO 42001 attestations from the vendor

Adapt vs Sierra: the questions people ask

Is Adapt cheaper than Sierra?

Adapt starts at $50/mo; Sierra prices on request, so a quote is the only way to compare.

Does Adapt or Sierra have a free tier?

Adapt has a free tier; Sierra prices on request.

Which has a public API, Adapt or Sierra?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

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