Which is cheaper, Ada or Decagon?

Vendr data puts Ada's median enterprise contract at about $72,000 per year and Decagon's at about $386,000 per year, so Ada is roughly five times cheaper at the median. Both are sales-led with no public price list, no self-serve signup and no free trial.

Does Decagon have a public API?

No. Decagon does not publish a developer API — every integration goes through Decagon's enterprise onboarding. Ada publishes a V2 REST API at developers.ada.cx, plus SDKs and an MCP server that lets Claude, ChatGPT, Gemini and other MCP-compatible clients drive the agent end to end.

How are Ada and Decagon configured?

Ada uses structured Playbooks the support team authors for multi-step SOPs like refunds and account changes, pulling from connected official knowledge sources only. Decagon uses Agent Operating Procedures, plain-English workflows that Decagon's system converts into the agent logic, with Duet AI Partner auto-drafting or refining procedures from real conversations.

Do Ada and Decagon both handle voice?

Yes. Ada routes voice through its Conversation Hub alongside chat, email, SMS, Messenger, WhatsApp, Instagram and in-app. Decagon runs voice as a dedicated product called Decagon Voice, configured through the same plain-English AOPs as Decagon Chat and Decagon Email.

Which has more enterprise customers, Ada or Decagon?

Ada reports more than 350 enterprise customers; Decagon names over 100. Both attach published case studies — Ada cites IPSY with 943% ROI, Loop Earplugs with 80% CSAT, Cebu Pacific with a 50% CSAT lift and Life360 with a 400-FTE workload managed by their AI agent. Decagon's named set includes Chime with a 70% resolution rate, Duolingo with 80% deflection, Hertz, Rippling, Notion, Block, Deutsche Telekom, 1-800-Flowers and Hunter Douglas.

How long does implementation take for Ada or Decagon?

Ada's typical engagement runs 8 to 16 weeks with Ada's professional services team. Decagon reviews report 4 to 12 weeks, with most teams noting that even low-code features usually need dedicated engineering support for the AOP setup.

Head to head

Ada vs Decagon

Ada and Decagon both run enterprise AI customer service agents across chat, voice, email and SMS, with multi-channel coverage and published case studies on each side. The choice is rarely about features — both cover the same channels and ship named-brand testimonials. It comes down to spend, stack integration and configuration style. Ada is the 2016 veteran with a public API, an MCP server and a $72,000-per-year median contract; Decagon is the 2023 challenger priced roughly five times higher and configured through plain-English AOPs.

Ada and Decagon both run enterprise AI customer service agents across chat, voice and email, and a buyer shortlist often lands on one of them. The two products come from opposite ends of the market and the choice is rarely about features — both cover chat, voice, email, SMS and messaging channels with named brand case studies attached. The decision usually comes down to how much you want to spend, how technical your support operations team is, and whether the rest of your stack needs to talk to the agent programmatically.

Ada is the longer-running of the two: Toronto-founded in 2016 with $200M+ in funding and 350+ enterprise customers, more than six billion interactions handled, and a median contract around $72,000 per year (Vendr data across 114 tracked purchases). What stands out is its public developer surface — a V2 REST API, SDKs and an MCP server that lets Claude, ChatGPT, Gemini and other MCP-compatible clients drive the agent end to end. That is unusual in the category. Configuration runs through structured Playbooks the team authors for multi-step SOPs like refunds and account changes, and the agent pulls only from connected official knowledge sources — past tickets, PDFs, internal wikis, Google Docs, Confluence and Notion are not natively ingested.

Decagon is the newer entrant, founded in San Francisco in 2023 and now valued at $4.5 billion after a $250M Series D in January 2026. It has more than 100 named enterprise customers including Chime, Duolingo, Hertz, Rippling, Notion, Block, Deutsche Telekom and 1-800-Flowers. Vendr data cited via fin.ai puts the median annual contract around $386,000 — roughly five times Ada's median. Decagon does not publish a public developer API. Configuration runs through Agent Operating Procedures, plain-English workflows that Decagon's system converts into the logic the agent follows, with Duet AI Partner auto-drafting or refining procedures from real conversations.

Both are heavily reviewed on G2 (Ada 4.6, Decagon 4.9), but Ada carries a public Trustpilot end-user score of 1.8 out of 5 — a real warning that polished admin tooling does not always translate to the customer experience. Decagon's higher per-resolution billing has drawn G2 complaints about how a resolution is counted. Implementation typically runs 8 to 16 weeks for Ada with the company's professional services team, and 4 to 12 weeks for Decagon even though the platform markets itself as low-code. Both ship with simulations and tracing for monitoring changes before they hit real traffic.

How Ada and Decagon compare

Feature	Ada Visit Ada ↗	Decagon Visit Decagon ↗
Description	A Toronto-founded AI customer service agent platform from 2016. Sales-led, custom-quoted, with a Reasoning Engine, MCP server and a public V2 REST API that newer rivals in the category do not all publish.	Enterprise AI customer service agents for chat, voice and email. $4.5B valuation, custom contracts, no public price.
Pricing	Custom, contact sales	Custom
API	YesPublic V2 REST API at developers.ada.cx (knowledge, end users, conversations, webhooks, integrations, persona, variables, custom instructions, tools, audit log, data export). An MCP server exposes the same surface to Claude, ChatGPT, Gemini, Google ADK and other MCP clients.	No
Pricing model	usage-based	usage-based
Free tier	No	No
Model / LLM	Proprietary (Reasoning Engine over multiple LLMs including OpenAI GPT-4)	Proprietary (managed, multi-model)
Interface	Web	Web
Public API	Yes	No
Open source	No	No
Deployment	Cloud	Cloud
Limitations	No public pricing at all. Every engagement is sales-led with no self-serve signup, no published price list and no free trial. Vendr puts the median contract at $72,000 per year across 114 tracked purchases, and independent estimates run from around $100,000 per year for mid-size deployments to north of $300,000 per year for large ones, plus separate implementation fees. (2 sources) A wide gap between admin-side and end-user satisfaction. G2 (reviewed by support admins who configure Ada) sits at 4.6 out of 5 from roughly 170 reviews, while Trustpilot (reflecting end users' actual chat experience) sits at 1.8 out of 5 from 20 reviews on the Ada.support profile, with 80% of those reviewers giving one star and recurring complaints about the bot losing context and difficulty reaching a human. (2 sources) Implementation typically runs 8 to 16 weeks with Ada's own professional services team, and the agent is constrained to whatever content lives in connected official knowledge sources. Ada does not natively ingest past support tickets, PDFs, internal wikis, Google Docs, Confluence or Notion. (1 source)	No public pricing. Vendr median contract is about $386,000 per year (cited via fin.ai), and eesel.ai estimates $74,000 to $600,000+ depending on volume. G2 reviewers report the resolution-based billing causes disputes over what counts as a resolution. (3 sources) Meaningful deployments need dedicated engineering support to configure AOPs and integrations. Reviewers describe implementation spanning 4 to 12 weeks even for features marketed as low-code. (1 source) No self-serve signup, no published price list, and no public developer API. Buying requires a sales conversation with the Decagon team. (1 source)

Who each one is for

Ada

Enterprises that want a long-running, well-capitalized AI support agent vendor with a public V2 REST API and an MCP server, rather than a sales-only integration surface.

From Custom, contact sales

Decagon

Large enterprises in retail, travel, fintech, health and telecom that want a heavily-funded, actively-improving AI agent to handle high-volume customer conversations across chat, voice and email, and that can run a multi-week, engineering-supported implementation.

From Custom

Verdict: Ada or Decagon?

Choose Ada if you want a public API and MCP server, a $72,000/year median contract, and an established customer base — and if you are willing to live with structured Playbooks and to weigh the Trustpilot end-user warning. Choose Decagon if you want a newer, better-funded product with plain-English AOP configuration, deep named-customer case studies and the budget for a roughly five-times-higher median contract.

Visit Ada ↗Visit Decagon ↗

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Frequently asked questions

Which is cheaper, Ada or Decagon?: Vendr data puts Ada's median enterprise contract at about $72,000 per year and Decagon's at about $386,000 per year, so Ada is roughly five times cheaper at the median. Both are sales-led with no public price list, no self-serve signup and no free trial.
Does Decagon have a public API?: No. Decagon does not publish a developer API — every integration goes through Decagon's enterprise onboarding. Ada publishes a V2 REST API at developers.ada.cx, plus SDKs and an MCP server that lets Claude, ChatGPT, Gemini and other MCP-compatible clients drive the agent end to end.
How are Ada and Decagon configured?: Ada uses structured Playbooks the support team authors for multi-step SOPs like refunds and account changes, pulling from connected official knowledge sources only. Decagon uses Agent Operating Procedures, plain-English workflows that Decagon's system converts into the agent logic, with Duet AI Partner auto-drafting or refining procedures from real conversations.
Do Ada and Decagon both handle voice?: Yes. Ada routes voice through its Conversation Hub alongside chat, email, SMS, Messenger, WhatsApp, Instagram and in-app. Decagon runs voice as a dedicated product called Decagon Voice, configured through the same plain-English AOPs as Decagon Chat and Decagon Email.
Which has more enterprise customers, Ada or Decagon?: Ada reports more than 350 enterprise customers; Decagon names over 100. Both attach published case studies — Ada cites IPSY with 943% ROI, Loop Earplugs with 80% CSAT, Cebu Pacific with a 50% CSAT lift and Life360 with a 400-FTE workload managed by their AI agent. Decagon's named set includes Chime with a 70% resolution rate, Duolingo with 80% deflection, Hertz, Rippling, Notion, Block, Deutsche Telekom, 1-800-Flowers and Hunter Douglas.
How long does implementation take for Ada or Decagon?: Ada's typical engagement runs 8 to 16 weeks with Ada's professional services team. Decagon reviews report 4 to 12 weeks, with most teams noting that even low-code features usually need dedicated engineering support for the AOP setup.

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