Decagon vs Phind: 2026 comparison
Conversational support agents that resolve tickets like your best reps.
Decagon vs Phind — specs
| Spec | Decagon | Phind |
|---|---|---|
| Agent Rank | 72 / 100 (A) | 67 / 100 (B) |
| Autonomy | Autonomous | Assistant |
| Pricing | Subscription · Free tier | Freemium · from $20 |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Browser, RAG, Memory |
| Integrations | 3 apps | 1 apps |
| Verified | Verified | Verified |
| Released | Apr 2025 | Jan 2025 |
Agent Rank breakdown
- Autonomy fit
- 9
- Capabilities
- 6
- Integrations
- 4
- Pricing value
- 9
- Polish & maturity
- 5
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- Autonomy fit
- 7
- Capabilities
- 6
- Integrations
- 2
- Pricing value
- 8
- Polish & maturity
- 7
- Verifiability
- 10
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 65–75% tier-1 deflection in production
- +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
- +Mid-market priced — easier conversation than Sierra
- −Voice support exists but is not the strength
- −Sales-led — no self-serve sign-up
- −Per-resolution pricing can sting if tickets spike unexpectedly
- +Best dev-focused AI search — code-first results with citations
- +Citations are real and current; less hallucination than ChatGPT for code
- +VS Code extension brings Phind into the editor
- −Smaller index than Perplexity for non-dev queries
- −Best as a complement to a coding agent, not a replacement
- −Free tier limits make heavy daily use painful
Pricing
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
- +Limited Pro searches/day
- +Standard models
- +Unlimited Pro searches
- +Frontier model access
- +Custom Phind agents
Which one should you pick?
Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.
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Frequently asked
Should I pick Decagon or Phind in 2026?+
Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place. Pick Phind if its specific capabilities (Browser, RAG) match what you need. Most working teams running both can use Decagon for primary work and Phind for the workflows where its specific strengths matter.
What's the price difference between Decagon and Phind?+
Decagon starts at Subscription · Free tier; Phind starts at Freemium · from $20. 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 Phind?+
Decagon is the more autonomous of the two (Autonomous vs Assistant). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.