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Decagon vs Elicit: 2026 comparison

Conversational support agents that resolve tickets like your best reps.

🎧SupportAutonomousSubscription
Tool useMemoryRAG

Literature-review agent for academics — extracts and synthesizes from 200M+ papers.

🔬ResearchAssistantFreemium · from $12
RAGMemory

Decagon vs Elicit — specs

SpecDecagonElicit
Agent Rank72 / 100 (A)63 / 100 (B)
AutonomyAutonomousAssistant
PricingSubscription · Free tierFreemium · from $12
Open sourceNoNo
CapabilitiesTool use, Memory, RAGRAG, Memory
Integrations3 apps2 apps
VerifiedVerifiedVerified
ReleasedApr 2025Feb 2025

Categories: DecagonSupport · ElicitResearch

Agent Rank breakdown

Decagon
Agent Rank
72/ 100
AA-tier
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?

Elicit
Agent Rank
63/ 100
BB-tier
Autonomy fit
7
Capabilities
4
Integrations
4
Pricing value
8
Polish & maturity
5
Verifiability
10

Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?

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
Elicit
Pros
  • +Only agent that indexes 200M+ academic papers with reliable extraction
  • +Literature-review quality output with rigorous citations
  • +Zotero export keeps your existing reference workflow
Cons
  • UI built for academic researchers; learning curve for solo operators
  • Limited use outside academic literature — bad fit for market research
  • Custom extraction templates are Pro-only

Pricing

Decagon
Growth
Custom
Mid-market
  • +Per-resolution pricing
  • +Zendesk / Intercom integration
  • +Onboarding included
Recommended
Enterprise
Custom
Enterprise
  • +Custom integrations
  • +SSO + audit log
  • +Dedicated CSM
Elicit
Basic
Free
Light use
  • +100 paper queries/month
  • +Standard extraction
Recommended
Plus
$12/mo
Researchers
  • +Unlimited paper queries
  • +Full extraction columns
  • +Zotero export
Pro
$49/mo
Power users
  • +Higher rate limits
  • +Custom extraction templates
  • +PDF chat

Which one should you pick?

Decagon

Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.

Try Decagon →
Elicit

Pick Elicit if its specific capabilities (RAG, Memory) match what you need.

Try Elicit →

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Frequently asked

Should I pick Decagon or Elicit 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 Elicit if its specific capabilities (RAG, Memory) match what you need. Most working teams running both can use Decagon for primary work and Elicit for the workflows where its specific strengths matter.

What's the price difference between Decagon and Elicit?+

Decagon starts at Subscription · Free tier; Elicit starts at Freemium · from $12. 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 Elicit?+

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.

Want the real monthly cost at your volume? Run the TCO calculator →
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