Head to head
Fin vs Decagon
Both platforms are scored with the same methodology and the same category rubric. Nothing on this page is influenced by advertising.
46/100 | 49/100Higher score | |
|---|---|---|
| Category rank | #3 | #2 |
| Confidence | High confidence | High confidence |
| External Reputation | 71 | 73 |
| AI Authority | 1 | 19 |
| Web Authority | 46 | 37 |
| Expert Assessment | 70 | 67 |
| TOP10 User Score | — | — |
| Pricing | $29 per seat/month (Essential, billed annually) plus from $0.99 per Fin outcome · free tier: None for the platform; all plans include free unlimited live chat, support email, in-app chats, banners and tooltips, plus 10 free Copilot and 10 AI auto-translation conversations per agent/month | Not published · free tier: None — no free trial and no self-serve signup; every conversion route is 'Get a demo' |
| Pricing model | Usage-based (per outcome) plus per-seat subscription | Custom (usage-based: per-conversation or per-resolution) |
| Best for | Mid-market and enterprise support teams with high volumes of repetitive, documentable tickets, a well-maintained knowledge base, and either an existing Intercom deployment or a willingness to bolt the seatless standalone agent onto Salesforce, HubSpot or Freshdesk. | Mid-market and enterprise support organisations with high, predictable ticket volume, an existing helpdesk/CRM to integrate with, a security or compliance review gate, and an internal owner who can run a two-month implementation — especially regulated or brand-sensitive teams needing hallucination supervision, PII redaction and zero-retention LLM terms. |
| Avoid if | You need a fixed, predictable monthly support bill, run a low ticket volume where seat fees dominate, have a thin or stale knowledge base, or require hands-on vendor implementation and fast incident response included. | You need a published price, a free trial or self-serve onboarding, are a small team or startup (even proof-of-concept deployments are reported at $40,000–$75,000/year), need to be live in days, expect a low autonomous resolution rate under per-conversation billing, or require a deep, mature reference base before signing. |
| Markets | SMB, Mid-Market, Enterprise, Startups, Ecommerce | Mid-market, Enterprise |
| Founded | — | — |
| Headquarters | San Francisco, United States | — |
A higher TOP SCORE means more of the evidence favours that platform on this methodology — it is not a recommendation, and it does not account for your specific requirements. Advertisers are never declared the winner of a comparison.