Comparisons / AI Agents & Chatbots
Botpress vs Fin (formerly Intercom)
Botpress bills usage-based and Fin (formerly Intercom) bills per resolution. Which one is cheaper changes as your volume grows, so the headline rates will not tell you.
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Which One to Pick
Pick Botpress if
- Builders who want deterministic behaviour. If certain paths must be guaranteed — a compliance disclosure, a specific escalation — a flow gives you that and a prompt does not.
- Teams with an unusual process. When your support flow does not look like anyone else's, a builder beats a product with opinions about how support works.
- Anyone needing self-hosting. The open-source core makes data residency achievable without a vendor negotiation.
Look elsewhere if: Teams wanting to deploy this week. Botpress is a builder, and building takes time — if your questions are documented and ordinary, Chatbase or My AskAI will be live in an hour and answer them just as well. Also not the tool for autonomous action across business systems; that is a different product category.
Pick Fin (formerly Intercom) if
- Existing Intercom customers. If you already run Intercom, Fin is close to a default. The integration advantage is real and the deployment cost is genuinely low. You are mostly deciding whether the per-resolution economics work at your volume.
- Teams with low to moderate ticket volume. Under roughly 2,000 resolutions a month, per-resolution pricing is predictable and comfortably cheaper than headcount. This is where the model is genuinely well suited.
- Teams that need quality over cost. Where a wrong answer is expensive, Fin's confidence gating and maturity justify the premium. Paying more per resolution to resolve fewer things badly is a reasonable trade.
Look elsewhere if: Do not buy Fin if you have high ticket volume and a tight support budget. Above roughly 5,000 monthly resolutions the per-resolution model works against you, and the better you tune it the worse the economics get. Teams in that position should model the invoice at their actual volume before committing, and look seriously at flat-rate or per-seat alternatives.
Evidence Scores Compared
Five criteria verifiable from published material. Green at 3.0 and above, red below. Not a performance rating.
| Criterion | Botpress | Fin (formerly Intercom) |
|---|---|---|
| Pricing transparency | ||
| Capability | ||
| Independence | ||
| Independent evidence | ||
| Cost predictability | ||
| Overall | 3.5 | 4.2 |
Pricing Compared
Different billing models, so the only honest comparison is total cost at your own volume. The arithmetic at 500, 5,000 and 50,000 tickets.
| Botpress | Fin (formerly Intercom) | |
|---|---|---|
| Starting price | $150 /mo | $29 /seat/mo |
| Billing model | Usage-based | Per resolution |
| Free plan | Yes | No |
| Buy without a sales call | Yes | Yes |
| Who owns it | Independent | Salesforce (pending) |
| Independent review evidence | Thin | G2 4.5/5 from 3,409 |
| HIPAA | No | Yes |
| Best for | Builders who want deterministic flows rather than a black box | Teams already on Fin who can absorb variable per-resolution billing |
Botpress pricing
- Free — $0. Pay-as-you-go AI usage
- Plus — $150 /mo. $25 of AI usage included, then $65 per 100 conversations, about $0.65 each
- Team — $750 /mo. $150 of AI usage included, then $50 per 100 conversations, about $0.50 each. The rate falls as you commit, which is the opposite shape to most of this table
- Add-ons — $40 /mo. Each adds capacity such as table rows and vector storage
Botpress Cloud is usage-based with a free tier, and the open-source core is free to self-host.
Usage billing means a traffic spike is a billing event, so check the rate against your peak rather than your average. Self-hosting removes that risk and adds the ongoing cost of running it.
Compared against Chatbase at around $40 a month, Botpress asks for more building effort in exchange for far more control. Which is the better deal depends entirely on whether you want to build or to deploy.
Fin (formerly Intercom) pricing
- Essential — $29 /seat/mo. Fin included at $0.99 per outcome
- Advanced — $85 /seat/mo. Multiple team inboxes, workflow automation
- Expert — $132 /seat/mo. SSO, identity management, HIPAA support
- Fin AI Agent standalone — $0.99 /outcome. No seats. 50-outcome monthly minimum. Works on Salesforce, HubSpot and others
- Fin sales qualification — $9.99 /qualification. Ten times the support rate for the same mechanical act
- Copilot add-on — $29 /agent/mo billed annually. $35 billed monthly. 10 conversations a month free per agent
- Pro add-on — $99 /mo. 1,000 conversations analysed, 2,000 Operator credits; extra credits $0.01
- Proactive Support Plus — $99 /mo. Includes 500 messages, then per unit
Fin costs $0.99 per resolution. That is the headline and it is genuinely published, unlike most enterprise competitors. Underneath it you also need Intercom seats, which one user reported at a $74 monthly seat fee before any AI usage.
The arithmetic is where this becomes contentious. At 10,000 resolutions a month, Fin costs $9,900 before seat costs. In many markets that exceeds the loaded cost of the support agents it replaces. The model works well at low volume and inverts at high volume, which is the opposite of how software pricing usually behaves.
The structural criticism is sharper than a simple cost complaint. Because you are charged per successful resolution, improving your help content, tuning your prompts, and getting Fin to work better all directly increase your bill. One support leader described it as being financially punished for making the product work. That is not a pricing tier problem; it is the model.
For context, Sierra prices on a similar outcome basis at roughly $1.50 per resolved interaction, negotiated rather than published. Fini publishes $0.69. Per-seat competitors like Zendesk and Freshdesk avoid the dynamic entirely but charge whether or not the AI does anything.
Both Tools in Depth
Botpress
Botpress predates the current wave and has adapted rather than pivoted. Where newer tools ask you to point an agent at your documentation and trust it, Botpress asks you to draw the conversation.
That appeals to a specific builder: someone who wants to know what happens at every branch, who needs certain paths to be guaranteed rather than probable, and who is comfortable with a flow editor. The LLM handles understanding what the user meant; your flow decides what happens next.
It has an open-source core and a hosted cloud with usage-based pricing and a free tier, which makes it one of the few tools here you can evaluate seriously without talking to anyone.
The flow builder
Explicit, visual and inspectable. When a conversation goes wrong you can see which node did it, which is a real advantage over debugging a prompt. The cost is that every path you want has to be built.
LLM inside deterministic structure
The pragmatic middle position: model for comprehension, flow for control. Slower to build than pointing an agent at a docs site, and far more predictable in what it will do.
Fin (formerly Intercom)
Two things changed in mid-2026 and both matter more than any feature on this page. Intercom renamed itself Fin in May, folding the company identity into the product. A month later, on 15 June 2026, Salesforce signed a definitive agreement to acquire it for approximately $3.6 billion, with closing expected in the fourth quarter of Salesforce's fiscal 2027. The deal has not closed, so Fin is still buyable on its own terms today — but anyone signing a multi-year term should ask directly how Fin and Salesforce's own Agentforce will coexist, because Salesforce now owns both.
Fin is the autonomous support agent formerly sold as Intercom's, and by most accounts the most polished product in this category. Intercom itself has been around since 2011, which matters here: Fin arrives attached to a mature help desk, an established content model, and an inbox that support teams already know. Where newer entrants have to solve both the agent problem and the workflow problem, Fin only had to solve one.
That maturity shows in deployment. Because Fin trains on help-centre content and past conversations already inside Intercom, teams that are Intercom customers can have it answering real tickets in hours rather than weeks. This is the single most consistent piece of praise it receives, including from people who are otherwise critical of it.
The controversy is entirely about price. Fin is billed at $0.99 per resolution on top of Intercom seat costs that start around $74 per seat per month. The rate is published, which is more than most competitors manage, but the model itself is what generates the complaints, and the complaints are loud, numerous, and unusually specific.
Resolution quality and confidence gating
Fin answers from your existing content and declines when confidence is low, passing the conversation to a human rather than guessing. This is the correct behaviour and it is implemented better here than in most cheaper tools, which tend to answer confidently regardless. The trade-off is that a conservatively-gated agent resolves fewer tickets, and since you pay per resolution, a well-tuned Fin is also a more expensive Fin.
Custom actions
Fin can call your APIs mid-conversation to look up an order, check a subscription state, or trigger a workflow. This is what separates an agent that answers questions from one that resolves them. Setting this up is engineering work, not configuration, and teams routinely underestimate it during evaluation.
Where Each One Breaks
Strengths and weaknesses on both sides, stated plainly.
Botpress
What works
Real control and inspectability. Open-source core with self-hosting available. Free tier you can actually evaluate with. Mature product with a long track record.
What does not
Building flows is work, and it never stops being work as your cases grow. Usage-based cloud billing is exposed to traffic spikes. Not an autonomous agent — it does what you drew and nothing more.
Fin (formerly Intercom)
What works
- Product quality conceded even by the reviewers complaining about the price
- Fastest deployment in the category on content already in Intercom
- Confidence gating is well implemented
- Handoff preserves context because it is the same product, not an integration
- Publishes its rate, which most enterprise competitors here do not
The product quality is not seriously disputed, including by its critics. Reddit threads complaining about the price routinely open by conceding that Fin works — one described it as probably the most polished AI agent available, immediately before objecting to the cost. Deployment speed on existing Intercom content is the fastest in the category. Confidence gating is well implemented, and the handoff into the human inbox preserves context because it is not an integration but the same product. Intercom also publishes its rate, which sounds like a low bar until you notice that most enterprise competitors in this directory publish nothing at all.
What does not
- Every successful resolution is billable, so improving the system raises the bill
- An r/SaaS thread of 70+ comments reported billing rising 120% after enabling AI
- An analysis of 215 Intercom reviews repeatedly calls the per-resolution charge a trap
- Cannot be bought standalone; it needs Intercom seats underneath, reported around $74
- The resolution definition that decides your invoice is easy to miss during a trial
The pricing model is the defining problem and it is structural rather than a matter of tiers. Because every successful resolution is billable, every improvement you make to the system increases your costs — a support leader on r/CustomerSuccess described being financially punished for making Fin work well. Public reports of bill shock are numerous and specific: one r/SaaS thread with 70+ comments described billing rising 120% after enabling AI, and an analysis of 215 Intercom reviews found the per-resolution charge repeatedly characterised as a trap. You also cannot buy Fin standalone; it requires Intercom seats underneath, reported around $74 each. Finally, the resolution definition that determines your invoice is not something most buyers examine closely during a trial, and it should be the first thing they check.
Where Each One Lands
Our reading of each, unchanged from its own review page.
Botpress
Botpress is the right choice when you want to control the conversation rather than delegate it. The visual builder makes behaviour inspectable and debuggable in a way prompt-driven agents are not, and the open-source core plus free tier means you can evaluate it properly without a sales call. The trade is effort: every path you want, you build. If your support questions are documented and conventional, a retrieval agent will get you further faster. If they are not, or if certain paths must be guaranteed, this is the more honest tool.
Fin (formerly Intercom)
Fin is the best autonomous support agent most teams can buy today, and whether you should buy it is almost entirely a maths question rather than a product question. Under roughly 2,000 resolutions a month it is excellent and the pricing is fair. Above 5,000 the model turns against you, and it turns against you faster the better you make it work. Model your actual volume before signing, and read the resolution definition carefully.
Frequently Asked
Questions people search about Botpress and Fin (formerly Intercom).
Is Botpress free?
The open-source core is free to self-host, and Botpress Cloud has a free tier with usage-based paid plans above it.
Is Intercom the same as Fin?
They are now the same company. Intercom renamed itself Fin in May 2026, folding the company name into its AI agent product. Comparisons that still treat them as two things are out of date.
What is Botpress used for?
Building chatbots and support agents with a visual flow builder, where an LLM handles understanding and your flow controls what actually happens.
Who owns Fin?
Salesforce signed a definitive agreement to acquire Fin, formerly Intercom, for approximately $3.6B on 15 June 2026. The deal is expected to close in Q4 of Salesforce FY2027 and has not closed, so Fin still operates independently today.
Is Botpress better than Chatbase?
More control and more work. Chatbase is live in an hour on your existing documentation; Botpress gives you deterministic behaviour if you build it. Different tools for different problems.
Is Fin worth it for a small team?
Under roughly 2,000 monthly resolutions, usually — it is the most capable agent available and the seat cost is modest at five or six agents. Above that the per-resolution model compounds against you faster than headcount would.
Can Botpress be self-hosted?
Yes, the core is open source, which makes it a real option where data residency rules out a hosted vendor.
How much does Fin actually cost?
$0.99 per resolution, plus Intercom seats underneath at a reported ~$74 per seat per month. At 10,000 monthly resolutions that is $9,900 in usage before seat costs.
Does Botpress use AI?
Yes, for understanding what the user means. The difference is that your flow decides what happens next rather than the model.
What counts as a resolution?
This is the question that determines your invoice, and vendors define it differently. We are documenting each vendor's definition from their own materials; until that is published we will not summarise Intercom's for you second-hand.
Sources
Every external fact above traces to one of these.