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。
RAGツール利用メモリ音声
Demo · hover to play
Decagon vs Sardinewhich AI support agent should you pick in 2026?
Conversational support agents that resolve tickets like your best reps.
Tool useMemoryRAG
Decagon vs Sardine — specs
| Spec | Decagon | Sardine |
|---|---|---|
| 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 | 4 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?
Sardine
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
Sardine
メリット
- +$145M total (a16z) — top of the agentic financial-crime category
- +Consolidates 11 fraud/KYC/AML vendors into one platform
- +Auto-reviews 40% of monthly applications — major cost reduction
デメリット
- −Enterprise focus — not priced for SMB fintechs
- −Regulatory complexity requires legal review per deployment
- −Best ROI requires existing high-volume transaction flow
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
Sardine
Growth
カスタム
Mid-market fintechs
- +Fraud + AML core agents
- +4 integrations
- +Standard SLA
おすすめ
Enterprise
カスタム
Large banks + fintechs
- +Full agent suite
- +Unlimited integrations
- +Custom rules engine
Sovereign
カスタム
Regulated
- +EU/US data residency
- +On-prem option
- +Dedicated CS
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 →Sardine
Pick Sardine if its specific capabilities (Tool use, Memory) match what you need.
Try Sardine →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Decagon or Sardine 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 Sardine if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Decagon for primary work and Sardine for the workflows where its specific strengths matter.
What's the price difference between Decagon and Sardine?+
Decagon starts at Subscription · Free tier; Sardine 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 Sardine?+
Both Decagon and Sardine are Autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
Readers comparing Decagon and Sardine also picked
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.
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。
RAGツール利用メモリDemo · hover to play
See more alternatives: alternatives to Decagon · alternatives to Sardine
Want the real monthly cost at your volume? Run the TCO calculator →
← Build your own comparison