AI customer service agent β resolves tickets across chat, email, voice with measurable deflection rates.
Decagon vs Torqwhich AI support agent should you pick in 2026?
Conversational support agents that resolve tickets like your best reps.
Decagon vs Torq β specs
| Spec | Decagon | Torq |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 67 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription Β· Free tier | Subscription |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Tool use, Memory, RAG, Multi-agent |
| Integrations | 3 apps | 5 apps |
| Verified | Verified | β |
| Released | Apr 2025 | Jan 2025 |
Agent Rank breakdown
- Autonomy
- 9
- Capabilities
- 6
- Integrations
- 4
- Pricing
- 9
- Polish
- 6
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- Autonomy
- 9
- Capabilities
- 8
- Integrations
- 6
- Pricing
- 4
- Polish
- 7
- Verifiability
- 6
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
- +Chat-first agent with consistently 65β75% tier-1 deflection in production
- +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
- +Mid-market priced β easier conversation than Sierra
- βVoice support exists but is not the strength
- βSales-led β no self-serve sign-up
- βPer-resolution pricing can sting if tickets spike unexpectedly
- +$1.2B valuation Series D Jan 2026; Forbes "de facto leader" in agentic SOC
- +Hyperautomation roots + agent layer = best of both worlds
- +100+ security tool integrations; widest of any agentic SOC platform
- βEnterprise focus β SMB SOCs find pricing prohibitive
- βSteeper learning curve than newer agent-native competitors
- βBest ROI requires existing SIEM/EDR/SOAR stack to orchestrate
Pricing
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
- +Agentic workflows
- +100+ integrations
- +Standard SLA
- +Unlimited agents
- +Custom playbooks
- +Strategic CS
- +Air-gapped deployment
- +EU/US data residency
- +Dedicated engineering
Which one should you pick?
Pick Decagon if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Decagon βAffiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Decagon or Torq in 2026?+
Pick Decagon if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Torq if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Decagon for primary work and Torq for the workflows where its specific strengths matter.
What's the price difference between Decagon and Torq?+
Decagon starts at Subscription Β· Free tier; Torq starts at Subscription. Decagon is the cheaper entry option. For team deployments the TCO can differ β use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Decagon or Torq?+
Both Decagon and Torq are Autonomous agents β neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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Adjacent agents in the same category with overlapping capabilities β worth a side-by-side glance before you commit.
- RAGTool useMemoryVoiceDemo Β· hover to play
Multilingual customer-support AI agents with local deployment teams in 30 countries.
Tool useMemoryVoiceRAGResolution-based AI agent built into Intercom β pays for what it actually deflects.
RAGTool useMemoryDemo Β· hover to play