Chatbase review
Fast, polished AI support agents — if you can stomach the credit meter.
A fast, polished way to ship a decent AI support agent, but the credit limits and add-on fees make it pricier than it first looks. Great for validating the idea; watch the meter before you scale.
Best for: Small teams and solo founders who want a live, multichannel AI support agent up fast and can live within (or budget past) the credit limits. · From: Free tier: 50 message credits/mo, 1 agent, 1 MB training, agent deleted after 14 days idle. Paid: Hobby $40/mo ($32/mo billed annually), Standard $150/mo ($120 annual), Pro $500/mo ($400 annual), Enterprise custom. Add-ons: auto-recharge credits $40/1,000, extra agent $300/yr, remove branding $1,188/yr.
Pros
- + Fastest setup in the category: paste a URL or upload PDFs, train, drop in an embed snippet, and you have a live agent in minutes
- + Genuinely multichannel from one agent — website widget, WhatsApp, Instagram, Messenger and Slack
- + Real model choice (Claude Sonnet, GPT, Gemini, others) plus custom actions that call your API for order lookups, tracking and the like
- + Clean analytics: resolution rate, sentiment, topic trends and human handoff via a built-in helpdesk
- + SOC 2 Type II and GDPR across paid tiers, with HIPAA-eligibility available on Enterprise
Cons
- − Credit-based pricing is stingy and hard to forecast — a single reply can burn several credits and overages auto-recharge at $40 per 1,000
- − The free tier is a 14-day-deletion trial (50 credits, 1 MB), not something you can actually run a business on
- − Removing the 'Powered by Chatbase' badge costs $1,188/year, steep for a solo brand
- − Support is thin below Enterprise; priority help, SSO and HIPAA are gated to the top tier
Setup
Chatbase sits at the "paste a link, get an agent" end of the market. Point it at a website URL, a sitemap, or a stack of PDFs, let it train, then drop an embed snippet on your site — a working agent in minutes, no code. Wiring up extra channels (WhatsApp, Instagram, Messenger, Slack) is a few clicks each from the same agent. It is genuinely one of the fastest onboarding flows in the category, which is most of why it's popular.
The AI / automation
You get real model choice — Claude Sonnet, GPT, Gemini and others — with credit cost scaling by model: a standard reply is 1 credit, while a top-end model can cost 5. Custom actions let the agent call your API for order lookups, tracking, or bookings, and the built-in helpdesk (Standard tier and up) handles human handoff and ticketing. Analytics cover resolution rate, sentiment, and topic trends. On compliance, SOC 2 Type II and GDPR apply across paid tiers, with HIPAA-eligibility available — though HIPAA sits behind Enterprise.
Pricing
Free is really a trial: 50 message credits, one agent, 1 MB of training data, and the agent is deleted after 14 days idle. Paid starts at Hobby $40/mo ($32 billed annually), Standard $150/mo ($120), Pro $500/mo ($400), then custom Enterprise. The catch is the credit model — a single reply can burn several credits, and overages auto-recharge at $40 per 1,000. Extra agents are $300/year each, and removing the "Powered by Chatbase" badge is a steep $1,188/year. Budget for add-ons; the sticker price is not the real price once you're at volume.
Free / cheaper alternatives
If the meter worries you, look at Chatwoot (open-source — self-host it for free and bring your own model), Botpress (a more generous free tier plus pay-as-you-go token pricing that's easier to forecast than credits), or Chatling (flat, cheaper plans with white-labeling far below Chatbase's badge-removal fee). Each trades some polish or setup speed for cost control, but all three are worth a look before you commit.
Verdict
Chatbase is a fast, clean way to ship a capable multichannel support agent, and the model choice plus custom actions punch above the setup effort. But the credit accounting and add-on fees make it pricier than the headline plans suggest. Validate the idea on Hobby, watch the credit burn under real traffic, and reprice before you commit at scale.