Agentic Index

Decagon vs Sierra (2026)

Decagon and Sierra are the two most talked about AI native enterprise support agents, and both score strongly in our matrix, so the choice is about pricing model and tooling philosophy. Sierra leans on outcome based pricing with standout testing, observability, and model flexibility, while Decagon emphasizes deep support toolchain integration with strong knowledge grounding, orchestration, and memory. Both are contact sales and priced for large support organizations.

At a glance Decagon Sierra
Category Customer support agent Customer support agent
Entry price Contact sales Outcome-based (per resolution) · contact sales
Free / trial n/p
Pricing confidence contact only contact only
Feature
S
Sierra
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.

Full / Explicit Full / Explicit
Control & trust

Human Oversight & Guardrails

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

Partial 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.

Partial Full / Explicit

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 Partial
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.

No / Not documented 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 Full / Explicit
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
S
Sierra

Entry price

Lowest public entry point

Contact sales Outcome-based (per resolution) · contact sales

Pricing confidence

How public the numbers are

Contact only Contact only

Billing

Primary billing axis

hybrid outcome-based (per resolution/outcome)

Variable cost

Workload / overage exposure

High 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 Decagon if

  • You want an agent built specifically for support with deep integration, strong knowledge grounding, and durable memory across conversations.
  • You prefer a focused support agent over a broader conversational platform.
  • Tight integration into your helpdesk and internal systems is the deciding factor.

Choose Sierra if

  • You want outcome based pricing that bills on resolution, plus strong testing and observability around the agent.
  • Model flexibility and a polished agent platform weigh heavily.
  • You have the volume and budget for an enterprise engagement, often six figures at scale.

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