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 October 4, 2026. Intercom Fin last verified October 22, 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-basedAll sizes
Visit Intercom Fin →
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
All sizes
Deployment
web, api
web, api
Setup difficulty
complex
easy
Avg setup time
No vendor-published go-live figure. G2 reviewers report a Time to Implement of 2 months, with deployment led by Decagon's implementation team.
Under an hour on the Intercom helpdesk (vendor integrations page: set up in under an hour on Intercom)
Editorial rating
3.9 / 5
5.0 / 5
G2 rating
4.8/5 (29 reviews)
4.5/5 (3,938 reviews)
MCP
Client
Server + client
GitHub stars
N/A
N/A
Data training
Not Disclosed
May Train
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

  • ✓Agents run on Agent Operating Procedures that support teams write in natural language, with a supervisor model that checks for hallucinations before a response is sent and Watchtower QA reviewing every conversation, so behavior can change without engineering work.
  • ✓Outcomes are published against named customers: Chime reports 70% chat and voice resolution, Duolingo an 80% deflection rate, Flashfood a 90%+ deflection rate and ClassPass a 95% cost reduction.
  • ✓Zero-data retention is enforced with LLM providers including OpenAI and Anthropic, and the Trust Center lists SOC 2 Type II, ISO 27001:2022, HIPAA and PCI DSS 4.0.1, which suits regulated industries such as fintech and healthcare.

Limitations

  • –No rates are published. Decagon offers per-conversation or per-resolution pricing, but both are quoted through sales, so cost cannot be compared with published-rate tools such as Intercom Fin without a scoping call.
  • –Deployment is sales-led with an implementation team rather than self-serve, and G2 reviewers report a Time to Implement of 2 months, so it is not a fit for teams that need to launch in days.
  • –The third-party review base is small for an enterprise vendor, at 29 G2 reviews, which gives risk-averse buyers less peer validation than larger support platforms offer.

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 on a $49 monthly base plan that includes 50 outcomes, and Fin Voice costs $1.99 per voice outcome through sales.
  • –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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