Agent IA de service client — résout les tickets via chat, e-mail et voix avec des taux de ticket deflection mesurables.
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Decagon vs Tofuwhich AI support agent should you pick in 2026?
Conversational support agents that resolve tickets like your best reps.
Tool useMemoryRAG
Autonomous campaign execution across email, ads, and web at brand-safe scale.
Tool useMemoryRAG
Decagon vs Tofu — specs
| Spec | Decagon | Tofu |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 63 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription · Free tier | Subscription |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Tool use, Memory, RAG |
| Integrations | 3 apps | 5 apps |
| Verified | Verified | — |
| Released | Apr 2025 | Jun 2025 |
Agent Rank breakdown
Decagon
Agent Rank
73/ 100
- Autonomie
- 9
- Capacités
- 6
- Intégrations
- 4
- Tarification
- 9
- Maturité
- 6
- Vérifiabilité
- 10
Calculé automatiquement à partir de l'autonomie, des capacités, des intégrations, de la tarification, de la maturité et de la vérification éditoriale. Mis à jour à chaque déploiement. Comment est-ce calculé ?
Tofu
Agent Rank
63/ 100
- Autonomie
- 9
- Capacités
- 6
- Intégrations
- 6
- Tarification
- 4
- Maturité
- 7
- Vérifiabilité
- 6
Calculé automatiquement à partir de l'autonomie, des capacités, des intégrations, de la tarification, de la maturité et de la vérification éditoriale. Mis à jour à chaque déploiement. Comment est-ce calculé ?
Pros & cons
Decagon
Pour
- +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
Contre
- −Voice support exists but is not the strength
- −Sales-led — no self-serve sign-up
- −Per-resolution pricing can sting if tickets spike unexpectedly
Tofu
Pour
- +#1 in multiple 2026 marketing-agent buyer guides — top of the vertical
- +Autonomous orchestration across email + ads + web (most agents only do one channel)
- +Strong brand-governance — runs every output through brand library checks
Contre
- −Enterprise pricing only — no SMB self-serve
- −Newer than Writer/Jasper — fewer Fortune 500 case studies
- −Best ROI requires existing martech stack (HubSpot/Marketo/Salesforce)
Pricing
Decagon
Growth
Sur mesure
Mid-market
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
Recommandé
Enterprise
Sur mesure
Enterprise
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
Tofu
Growth
Sur mesure
Mid-market
- +Email + ads + web
- +Brand library
- +HubSpot/Marketo sync
Recommandé
Scale
Sur mesure
Large brands
- +Unlimited campaigns
- +Multi-brand workspace
- +Advanced governance
Enterprise
Sur mesure
Fortune 500
- +Custom integrations
- +Dedicated CS
- +Custom SLAs
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 Tofu 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 Tofu if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Decagon for primary work and Tofu for the workflows where its specific strengths matter.
What's the price difference between Decagon and Tofu?+
Decagon starts at Subscription · Free tier; Tofu 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 Tofu?+
Both Decagon and Tofu 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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Tool UseMemoryVoixRAGAgent IA basé sur la résolution, intégré à Intercom — vous payez uniquement ce qu'il résout réellement.
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