Decagon vs Fin: Enterprise Quote vs $0.99-Per-Outcome
The short answer
Decagon vs Fin: Decagon sells its AI concierge platform by enterprise quote with no published pricing. Fin, Intercom's AI customer-service agent, publishes a flat $0.99-per-outcome price, confirmed live on fin.ai/pricing and intercom.com/pricing.[2] Decagon shipped a major product wave (Voice 3, Agent Modules, a new Partner Community);
Fin added a Pendo.io integration and an Operator connector for Claude.
Quick comparison
| Decagon | Fin | |
|---|---|---|
| Tagline | The AI concierge for every customer | AI customer service for just $0.99 per outcome |
| Founded | 2023 | 2011 (Intercom; Fin is Intercom's AI agent, marketed as its own fin.ai brand) |
| Headquarters | San Francisco, CA, USA | San Francisco, CA, USA |
| Pricing model | Enterprise quote only (no published price) | Published, outcome-based: $0.99 per outcome, plus per-seat Intercom helpdesk tiers when bundled |
| Recent product signal | Shipped Voice 3, Personal Agent Gateway, Agent Modules and Duet Apprentice; linked Autopilot to live-traffic Experiments | Shipped a Pendo.io integration for proactive outreach and an MCP connector exposing Operator inside Claude/Claude Code |
| Recent corporate signal | Reportedly hired a bank to evaluate acquisition interest after early ServiceNow talks; ServiceNow denied interest | Not disclosed in sourced data |
| Public/private | Private | Private (part of Intercom) |
| Starting price | Quote only — no published price; decagon.ai/pricing returns 404 (Negotiated per deal) | $0.99 per outcome (Usage-based; 50 outcomes/month minimum when paired with an existing (non-Intercom) helpdesk) |
Prices as published by each vendor, checked 7 October 2026; estimates are marked est.
Fin publishes a flat $0.99-per-outcome price (confirmed live on fin.ai/pricing and intercom.com/pricing); Decagon publishes no pricing at all (decagon.ai/pricing returns 404).
Pricing breakdown
Decagon
- Custom (enterprise quote)Quote only — no published price; decagon.ai/pricing returns 404 · Negotiated per deal
- No pricing model, tiers or published price disclosed on decagon.ai
- Scraped company profile flags pricing as a data gap (low confidence)
Fin
- Fin AI Agent (any helpdesk)$0.99 per outcome · Usage-based; 50 outcomes/month minimum when paired with an existing (non-Intercom) helpdesk
- Only charged when Fin resolves a conversation; one outcome counted per conversation max
- Works with Salesforce, HubSpot, Zendesk, Freshdesk and other helpdesks
- Fin + Intercom helpdesk — EssentialIntercom helpdesk from $19 per seat/month (annual, new-customer rate) + Fin at $0.99 per outcome · Per-seat helpdesk subscription plus usage-based Fin charge
- Messenger live chat, shared inbox/ticketing, pre-built reports, public help center
- Fin + Intercom helpdesk — Advanced / ExpertIntercom helpdesk $85 per seat/month (Advanced) or $132 per seat/month (Expert) + Fin at $0.99 per outcome on both · Per-seat helpdesk subscription plus usage-based Fin charge
- Advanced adds workflow automation and multiple team inboxes
- Expert adds SSO, HIPAA support, SLAs and multibrand Messenger
- Add-ons: Pro (Operator) / CopilotPro from $100/month; Copilot $35 per user/month · Flat monthly add-on fees on top of the Fin/helpdesk charges above
- Pro adds the Operator agent, CX Score, AI Topics/Trends and Incident Detection
- Copilot gives human agents an in-inbox AI assistant
Decagon publishes no pricing page or tier list: decagon.ai/pricing returns HTTP 404 (checked 2026-11-09, matching the scraped profile's pricing gap) and Decagon's own profile data flags pricing as unavailable; it is sold by enterprise quote. Fin, Intercom's AI customer-service agent, publishes outcome-based pricing: fin.ai/pricing and intercom.com/pricing (both fetched live 2026-11-09) show a flat $0.99-per-outcome charge for Fin itself, whether run standalone on any helpdesk or bundled with the Intercom helpdesk, plus separate per-seat Intercom helpdesk tiers and optional add-ons.
Recent moves
Decagon
Positioning
Decagon
How they describe themselves
“Decagon positions itself as "the AI concierge for every customer," a unified conversational AI platform across voice, chat and email, built on Agent Operating Procedures (AOPs) that let non-technical teams define agent workflows without SDKs.”
What we see them doing
Decagon is simultaneously shipping product (Voice 3, Agent Modules, Personal Agent Gateway, Duet Apprentice, and linking Autopilot directly to live-traffic Experiments), building a partner ecosystem (a new Partner Community with AWS/Google Cloud/Databricks/OpenAI marketplace access), and expanding its events pipeline (a first European Dialogues event in London and a new webinar series) — while also facing a Business Insider report that it hired a bank to evaluate a possible sale after early, since-denied ServiceNow talks.
Fin
How they describe themselves
“Fin positions itself as "the highest-performing AI Agent for every customer conversation," resolving an average of 76% of customer queries, charging only per outcome, and running on any existing helpdesk (Salesforce, Zendesk, HubSpot, Freshdesk) as well as natively inside Intercom's own helpdesk.”
What we see them doing
Fin is extending its existing outcome-priced platform into new data sources and surfaces rather than making headline announcements: a Pendo.io integration lets it proactively reach customers showing frustration signals before they open a ticket, and a new MCP connector puts its Operator agent directly inside Claude and Claude Code for support-ops teams.
When to choose which
When to choose Decagon
Choose Decagon when a team wants an omnichannel (voice, chat, email) concierge-style agent platform built on natural-language-defined Agent Operating Procedures, is comfortable negotiating a custom enterprise quote with no public price, and wants to track its new Partner Community and upcoming European Dialogues event rather than treat the reported acquisition-interest story as decided.
When to choose Fin
Choose Fin when a team wants a published, outcome-based price ($0.99 per resolved conversation) that works on an existing helpdesk without migration, or wants Fin bundled with Intercom's own per-seat helpdesk tiers (Essential/Advanced/Expert), and values incremental extensions like Pendo-driven proactive outreach and an in-Claude Operator connector over headline product launches.
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Our take
Decagon is sold entirely by enterprise quote with no published pricing, while Fin — Intercom's AI customer-service agent — is the rare vendor in this market with a public, flat-rate price: $0.99 per outcome, confirmed live on both fin.ai/pricing and intercom.com/pricing, whether run standalone on any helpdesk or bundled with Intercom's own per-seat helpdesk tiers. Decagon's quarter is a mix of real product shipping (Voice 3, Agent Modules, Personal Agent Gateway, Autopilot-to-Experiments) and a reported, since-denied acquisition approach from ServiceNow, plus a new Partner Community and two upcoming events (a London Dialogues debut and a webinar series). Fin's quarter is incremental product extension on its existing platform — a Pendo.io integration for proactive outreach and an MCP connector that puts its Operator agent inside Claude and Claude Code — rather than headline-grabbing news. A rep from either company should recognize these as live, sourced developments, not spin.
Sources
The facts on this page come from these sources: vendor pricing and product pages, review sites, press and public posts, each checked on the date shown.
- Decagon pageSupports: Decagon has no published pricing page; the URL returns a 404.
- Fin pageSupports: Fin AI Agent is priced at $0.99 per outcome (50 outcomes/month minimum on an existing helpdesk); the Intercom-helpdesk bundle starts at $0.99 per outcome plus $19 per seat/month; the Pro add-on starts at $100/month and Copilot is $35 per user/month.
- Intercom pageSupports: Intercom helpdesk tiers are Essential at $19/seat/month (annual, new-customer), Advanced at $85/seat/month and Expert at $132/seat/month, with Fin AI Agent priced at a flat $0.99 per outcome across all three tiers.
- Decagon pageSupports: Decagon's own site gives its tagline, 2023 founding and San Francisco headquarters, and positions it as an AI concierge platform built on Agent Operating Procedures (AOPs).
- Fin pageSupports: Fin's own site gives its tagline, states it resolves an average of 76% of customer queries, and describes itself as Intercom's AI customer-service agent, usable standalone on any helpdesk.
- Natlawreview pageSupports: At its Oct 1 Dialogues event, Decagon announced Voice 3 (with the Chord speech model), Personal Agent Gateway, Agent Modules and Duet Apprentice.
- LinkedIn pageSupports: Decagon launched a Partner Community combining technology and solution partners with co-sell, certification and marketplace access via AWS, Google Cloud, Databricks and OpenAI.
- LinkedIn pageSupports: Decagon connected Autopilot suggestions directly to Experiments for live-traffic testing.
- Businessinsider pageSupports: Business Insider reported Decagon hired a bank to evaluate acquisition interest after early talks with ServiceNow, which ServiceNow publicly denied.
- LinkedIn pageSupports: Decagon will stage its first European Dialogues event in London on Nov 12, 2026, with speakers from Spotify, Soho House & Co, Rituals and Deutsche Telekom (event has not yet occurred as of Nov 9, 2026).
- LinkedIn pageSupports: Fin announced a new integration with Pendo.io that pipes product-usage and frustration signals (e.g. rage clicks) into Fin so it can proactively reach stuck customers.
- Fin pageSupports: Fin shipped an MCP connector giving its Operator agent access from Claude and Claude Code, letting teams investigate support issues and apply proposed changes without leaving Claude.
Why a vendor comparison goes stale, and how fast
A like-for-like snapshot is true the week it’s written. It dates because the competitors themselves keep moving. Across the B2B SaaS competitors we monitor: we re-diff their public footprint every week, across 3,699 weekly comparisons (December 2025 – November 2026).
78.3%
changed their pricing page at least once
about 4 in 10
had a pricing change in a typical week
50.6%
changed their messaging in a typical week
Method: a “change” is a detected week-over-week diff on the monitored public page, excluding first-baseline records. Pooled across 226 competitors; computed live from IndustryLens monitoring and refreshed daily.