Agentic Index
Intercom Fin vs Robylon AI (2026)
This is the comparison Robylon builds its own commercial argument around, and the honest split is meter versus maturity.
Fin charges by outcome, a flat fee per resolution, so the bill tracks value delivered and nothing else, and it arrives with Intercom's corpus, brand recognition and helpdesk lineage behind it. Robylon charges by credits consumed per message, publishes rates from a free tier through 25 and 180 dollars a month, and claims an effective 10 to 30 cents per resolution against Fin's published rate. The catch a buyer should price in cuts both ways: credit metering means the same conversation can cost different amounts depending on which model handles it, and Robylon's own pricing page currently states its Starter plan three different ways and prices the annual Pro plan above the monthly one, so confirm the rate card in writing. Robylon is roughly 23 people and pre seed; Fin is a public company's flagship product.
Choose Intercom Fin if
- Outcome pricing you can forecast beats a credit meter that varies by model.
- You want a vendor at public company scale behind your support system.
- You are already on Intercom and the migration cost of leaving is the real number.
Choose Robylon AI if
- Published entry rates and a free tier let you prove value before any contract.
- You need WhatsApp, Instagram and voice as first class channels rather than add ons.
- A human review layer inside the same product is worth more to you than brand.
| At a glance | Intercom Fin | Robylon AI |
|---|---|---|
| Category | Customer support agent | Customer support agent |
| Entry price | Outcome-based · $0.99 per resolution (standalone $49/mo, 50 incl.) | $25/mo |
| Free / trial | 14-day free trial (no card, unlimited Fin) | Starter, free forever, 300 credits a month, chat channel only |
| Pricing confidence | public partial | public exact |
| Feature | I Intercom Fin |
R Robylon AI |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Full / Explicit |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | I Intercom Fin |
R Robylon AI |
|---|---|---|
|
Entry price Lowest public entry point |
Outcome-based · $0.99 per resolution (standalone $49/mo, 50 incl.) | $25/mo |
|
Pricing confidence How public the numbers are |
Public, partial | Public, exact |
|
Billing Primary billing axis |
outcomes | AI credits consumed per message, with optional human agent seats billed separately |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
No free tierTrial
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | Mixed |
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