AI Agent Index

Decagon vs Intercom Fin (2026)

Side-by-side comparison of Decagon vs Intercom Fin: pricing, capabilities, integrations, deployment complexity, and ratings. Built from The AI Agent Index's verified listing data. Decagon last verified July 23, 2026. Intercom Fin last verified September 21, 2026.

Data sourced from The AI Agent Index

Decagon logo

Decagon

by Decagon

Enterprise AI customer support platform deploying autonomous agents across voice, chat, and email. Used by Hertz, Notion, Duolingo, ClassPass. Custom enterprise pricing.

customENTERPRISE
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Intercom Fin logo

Intercom Fin

by Fin

AI customer agent from Fin, formerly Intercom, now part of Salesforce. $0.99 per outcome, 76% average resolution rate across 12,000+ customers. Runs on any helpdesk or with Intercom.

usage-basedBOTH
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Decagon
Intercom Fin
Pricing model
custom
usage-based
Starting price
Contact sales
$0.99per outcome
Pricing transparency
quote only
mostly public
Contract type
annual only
both
Customer segment
ENTERPRISE
BOTH
Deployment
web, api
web, api
Setup difficulty
complex
easy
Avg setup time
4-8 weeks (sales-led discovery, knowledge base ingestion, AI agent training, integration with helpdesk and commerce platforms)
Under an hour (vendor pricing page: set up in under an hour)
Editorial rating
3.9 / 5
5.0 / 5
G2 rating
4.8/5 (21 reviews)
4.5/5 (3,913 reviews)
MCP
Client
Server + client
GitHub stars
N/A
N/A
Data training
no
yes
Human in loop
optional
optional
Security certs
SOC 2 Type II, GDPR, HIPAA, CCPA, ISO 27001
SOC 2 Type II, ISO 27001, ISO 42001, GDPR, CCPA, HIPAA, AIUC-1

Capabilities

Decagon

ticket-resolutionautonomousintent-detectionmultilingualworkflow-builderconversation-intelligence

Intercom Fin

ticket-resolutionautonomouschatescalationmultilingualomnichannelintent-detectionconversation-intelligence

Pros & Limitations

Editorial assessment

Decagon

Pros

  • ✓Purpose-built AI architecture enables genuinely autonomous resolution rather than AI layered onto a legacy helpdesk: Decagon's AOPs, supervisor model, and Watchtower QA system produce resolution quality that bolt-on AI tools cannot match for complex, multi-step support conversations.
  • ✓Documented enterprise outcomes across a named customer base: ClassPass achieved a 10x deflection rate increase, Flashfood resolves 90%+ of issues automatically, and Hunter Douglas Group reports 70% chat and voice resolution in production deployments.
  • ✓Zero-day retention policy with all LLM providers confirmed on the security page: no conversation data is stored or used for model training by OpenAI, Anthropic, or any other AI provider, which is a hard compliance requirement for regulated industries.

Limitations

  • ⚠Custom pricing with no published tiers requires a full sales process before any budget estimate is possible: makes it impossible to compare costs against Intercom Fin ($0.99 per outcome) or Zendesk AI (from $55/mo billed annually) without a vendor conversation and scoping call.
  • ⚠Enterprise-only positioning with significant onboarding investment means months to first production deployment: not suitable for teams that need self-serve setup or fast time-to-value, where Intercom Fin or Tidio provide faster ROI at lower initial cost.
  • ⚠Limited G2 review footprint at 21 reviews despite a strong enterprise customer base: low third-party review volume can be a procurement concern for risk-averse buyers requiring extensive peer validation before committing to a custom enterprise contract.

Intercom Fin

Pros

  • ✓Outcome-based billing at $0.99 per outcome, charged once per conversation, with a 76% average resolution rate that Fin reports across 12,000+ customers.
  • ✓MCP on both sides: the official Intercom MCP server offers 14 tools for US and EU workspaces with setup guides for Claude and Cursor, and MCP connectors let Fin act in Stripe, Shopify, Linear and Zapier.
  • ✓The trust center lists SOC 2 Type II, ISO 27001, ISO 27018, ISO 27701, ISO 42001, HDS, CSA STAR and AIUC-1, with a HIPAA attestation and a BAA available to every Fin workspace.

Limitations

  • ⚠Fin on another helpdesk is bought through the sales team with a 50-outcome monthly minimum, and Fin Voice is priced on a custom plan.
  • ⚠Inside the Intercom helpdesk, outcomes are billed on top of seats: $29, $85 or $132 per seat per month billed annually, or $39, $99 or $139 billed monthly.
  • ⚠Fin's models are trained by default on de-identified data from past Fin interactions. Workspaces with a BAA, EU or AU hosted workspaces and customers previously granted an opt-out are excluded.

Frequently asked questions

How does pricing compare between Decagon vs Intercom Fin?

Decagon uses a custom model with pricing on request. Intercom Fin uses a usage-based model, charging $0.99 per outcome.

View full Decagon profile

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View full Intercom Fin profile

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