AIカスタマーサービスエージェント — チャット・メール・音声を横断してチケットを解決し、測定可能な自動解決率を実現します。
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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
- 自律性
- 9
- 機能
- 6
- 連携
- 4
- 料金
- 9
- 完成度
- 6
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Torq
Agent Rank
67/ 100
- 自律性
- 9
- 機能
- 8
- 連携
- 6
- 料金
- 4
- 完成度
- 7
- 検証性
- 6
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
Decagon
メリット
- +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
デメリット
- −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
メリット
- +$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
デメリット
- −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
カスタム
Mid-market
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
おすすめ
Enterprise
カスタム
Enterprise
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
Torq
Pro
カスタム
Mid-market SOC
- +Agentic workflows
- +100+ integrations
- +Standard SLA
おすすめ
Enterprise
カスタム
Large SOC
- +Unlimited agents
- +Custom playbooks
- +Strategic CS
Sovereign
カスタム
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.
Try Decagon →Affiliate 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 · 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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ツール利用メモリ音声RAGIntercom に内蔵された解決件数ベースのAIエージェント。実際に対応を削減した件数分だけ課金されます。
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See more alternatives: alternatives to Decagon · alternatives to Torq
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