KI-Kundenservice-Agent — löst Tickets über Chat, E-Mail und Sprache mit messbaren Ticket-Deflection-Raten.
RAGTool-NutzungMemorySprache
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Decagon vs Torqwhich AI support agent should you pick in 2026?
Conversational support agents that resolve tickets like your best reps.
Tool useMemoryRAG
Decagon vs Torq — specs
| Spec | Decagon | Torq |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 67 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription · 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 | — |
| Released | Apr 2025 | Jan 2025 |
Agent Rank breakdown
Decagon
Agent Rank
73/ 100
- Autonomie
- 9
- Fähigkeiten
- 6
- Integrationen
- 4
- Preise
- 9
- Reife
- 6
- Verifizierbarkeit
- 10
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Torq
Agent Rank
67/ 100
- Autonomie
- 9
- Fähigkeiten
- 8
- Integrationen
- 6
- Preise
- 4
- Reife
- 7
- Verifizierbarkeit
- 6
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Pros & cons
Decagon
Pros
- +Chat-first agent with consistently 65–75% tier-1 deflection in production
- +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
- +Mid-market priced — easier conversation than Sierra
Cons
- −Voice support exists but is not the strength
- −Sales-led — no self-serve sign-up
- −Per-resolution pricing can sting if tickets spike unexpectedly
Torq
Pros
- +$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
Cons
- −Enterprise focus — SMB SOCs find pricing prohibitive
- −Steeper learning curve than newer agent-native competitors
- −Best ROI requires existing SIEM/EDR/SOAR stack to orchestrate
Pricing
Decagon
Growth
Individuell
Mid-market
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
Empfohlen
Enterprise
Individuell
Enterprise
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
Torq
Pro
Individuell
Mid-market SOC
- +Agentic workflows
- +100+ integrations
- +Standard SLA
Empfohlen
Enterprise
Individuell
Large SOC
- +Unlimited agents
- +Custom playbooks
- +Strategic CS
Sovereign
Individuell
Regulated
- +Air-gapped deployment
- +EU/US data residency
- +Dedicated engineering
Which one should you pick?
Decagon
Pick Decagon if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
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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 · Free tier; Torq starts at Subscription. Decagon is the cheaper entry option. For team deployments the TCO can differ — 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 — 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 — worth a side-by-side glance before you commit.
Multilingual customer-support AI agents with local deployment teams in 30 countries.
Tool-NutzungMemorySpracheRAGLösungsbasierter KI-Agent, direkt in Intercom integriert — Abrechnung nur für tatsächlich deflektierte Anfragen.
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