Agentic Index

Ada vs Decagon (2026)

Decagon is the stronger pick for teams that want a modern AI native support agent wired deeply into their existing toolchain, while Ada suits enterprises that want a mature no code omnichannel platform with a longer track record. Decagon scores well on knowledge grounding, orchestration, and integrations in our matrix, whereas Ada leans on breadth and years of enterprise deployments. Both are contact sales and built for serious ticket volume, with Ada quoting from around 30,000 dollars a year.

At a glance Ada Decagon
Category Customer support agent Customer support agent
Entry price From ~$30k/yr (contact sales; ~$70k median) Contact sales
Free / trial n/p
Pricing confidence contact only contact only
Feature
A
Ada
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 Full / Explicit
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.

Full / Explicit Full / Explicit

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Partial Full / Explicit
Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Full / Explicit Partial

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.

Partial Partial

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Partial Partial
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.

Partial No / Not documented

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.

Full / Explicit 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
A
Ada

Entry price

Lowest public entry point

From ~$30k/yr (contact sales; ~$70k median) Contact sales

Pricing confidence

How public the numbers are

Contact only Contact only

Billing

Primary billing axis

conversations hybrid

Variable cost

Workload / overage exposure

Medium variable cost High variable cost

Free tier / trial

Try before you buy

No free tier
No free tier

Buying motion

Self-serve vs sales call

Sales call Sales call

Choose Ada if

  • You want a proven no code platform that has run omnichannel support at large enterprises for years across chat, voice, and messaging.
  • Your buying process expects conversation based pricing and you can commit to enterprise volume, roughly 30,000 dollars a year and up.
  • A long incumbent security and compliance posture, including SOC 2 Type II and PII masking, matters more to you than a newer agent architecture.

Choose Decagon if

  • You want an agent purpose built for support that plugs deeply into your helpdesk and internal systems from day one.
  • Deep knowledge grounding, orchestration, and integrations weigh more heavily than a long incumbent track record.
  • You are comfortable with contact sales pricing and want an agent built around current LLM reasoning.

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