First, match the provider to the call job

Compare Decagon Voice and LiveKit Agents for AI phone agents, then match channels, workflows, and deployment models to your call flow.

Both profiles checked 2026-09-04.

Use the table below to compare each provider’s documented scope.

Before you decide

Decagon Voice vs LiveKit Agents: buying questions

How should I compare Decagon Voice and LiveKit Agents pricing?

Decagon Voice: Not publicly documented LiveKit Agents: Tiered monthly Cloud plans with included session/calling allowances and inference credits; Enterprise adds custom volume pricing. Ask both vendors to quote the same expected workload, required channels, and implementation scope. Include required subscriptions and usage charges before comparing the total; the listed starting prices alone may cover different work.

Can Decagon Voice and LiveKit Agents use my existing data?

The recorded knowledge and data sources for Decagon Voice include Not publicly documented. For LiveKit Agents, they include Not publicly documented. Ask each provider to demonstrate access for the exact systems you use, with permissions, freshness, and failure behavior. A source missing from this directory is not proof that a provider cannot support it.

What should I test in a Decagon Voice vs LiveKit Agents pilot?

Use the same representative calls, approved instructions, and escalation rules in both pilots. How does it handle interruption and uncertainty? Which actions can it complete, and which require approval? What context reaches a human during transfer? Record conversation quality, completed tasks, human handoffs, and total cost in the buyer worksheet. Check these specific cautions before launch: Decagon Voice: Public detail on voice stack, telephony, regions, languages, and rates is limited; validate in a scoped pilot. LiveKit Agents: Calculator values are examples, not universal quotes. Team owns logic, data policy, reliability, and contact-center operations.

Record your requirements and pilot results in the buyer worksheet →

Swipe or scroll the table to see every column.

Features, pricing, and fit
CriterionDecagon VoiceLiveKit Agents
Provider typeEnterprise customer-service agent platformRealtime voice agent framework and infrastructure
Best fitSupport teams that need phone automation connected to CRM, helpdesk, knowledge-base, or CPaaS systems.Engineering teams that want to choose pipeline architecture and pair agent infrastructure with their own application logic.
Key capabilitiesvoice support; multi-channel automation; workflows; enterprise integrations; analyticsopen-source framework; WebRTC; SIP; provider plugins; deployment tooling
Team sizesmid-market; enterprisestartup; mid-market; enterprise; developer
Call surfacesvoice; chat; emailWebRTC; SIP; phone / PSTN; mobile; web
Voice stackNot publicly documentedConfigurable pipeline with native realtime model support
TelephonyNot publicly documentedSIP trunking; carrier integration
Call controlsNot publicly documentedNot publicly documented
LanguagesNot publicly documentedNot publicly documented
IntegrationsNot publicly documentedNot publicly documented
Knowledge and dataNot publicly documentedNot publicly documented
Pricing modelNot publicly documentedTiered monthly Cloud plans with included session/calling allowances and inference credits; Enterprise adds custom volume pricing.
Pricing signalNot publicly documented.Calculator examples include roughly $0.01 session, $0.01 telephony, $0.0014 LLM, $0.0058 STT, $0.03 TTS, and $0.01 observability; inputs vary.
Free plan or trialNot publicly documentedNot publicly documented
What stands outDecagon combines voice turn-taking and profile controls with concise human handoff summaries, MCP/API connectivity, and cross-channel CRM/helpdesk/knowledge sync.LiveKit documents three pipeline modes—STT-LLM-TTS, speech-to-speech realtime, and half-cascade—alongside Cloud deployment, observability, inference credits, and telephony.
ConsiderationsPublic detail on voice stack, telephony, regions, languages, and rates is limited; validate in a scoped pilot.Calculator values are examples, not universal quotes. Team owns logic, data policy, reliability, and contact-center operations.

Decagon Voice: fit and scope

Support teams that need phone automation connected to CRM, helpdesk, knowledge-base, or CPaaS systems.

Decagon combines voice turn-taking and profile controls with concise human handoff summaries, MCP/API connectivity, and cross-channel CRM/helpdesk/knowledge sync.

LiveKit Agents: fit and scope

Engineering teams that want to choose pipeline architecture and pair agent infrastructure with their own application logic.

LiveKit documents three pipeline modes—STT-LLM-TTS, speech-to-speech realtime, and half-cascade—alongside Cloud deployment, observability, inference credits, and telephony.

Verify current pricing, limits, security, and required integrations directly with each provider before purchasing.

Evaluate language support in real calls

Test recognition, speech quality, interruptions, language switching, tool use, and human transfer with your own calls in the required language. Availability can vary by model, plan, and phone route.

DocsBot documents multilingual voice workflows and Japanese support. Verify the exact voice, phone path, and transfer behavior in your pilot. Review DocsBot language information ↗

Other providers’ language claims reflect cited vendor material; confirm Japanese and other required languages directly with each provider.

Listing does not imply endorsement or a performance guarantee. This directory is published by DocsBot. Editorial policy

Your business. Your shortlist.

Decagon Voice and LiveKit Agents: which fits your call flow?

Start with your website. Answer a few focused questions, then get a personalized PDF with fit, trade-offs, alternatives and a pilot plan for your call flow.

Privacy policy ↗

AI voice agent directory

Your personalized recommendation

Provider research → short interview → your PDF.