ByHeather MacAvelia·Last verified Jun 24, 2026

Chatbase

Name: Chatbase
Price: 32 USD
Author: Chatbase

★3.7/ 5

by Chatbase

Independently Reviewed

Visit chatbase.co →

No-code AI chatbot and agent builder trained on your knowledge base. Free; Hobby $32/mo, Standard $120/mo, Pro $400/mo. Voice, telephony, and AI Actions included.

From

$32

freemium ↗

GitHub

—

Stars

4.8 / 5

19 reviews ↗

MCP

Compatible

Chatbase is the no-code platform for building custom AI chatbots and AI agents trained on your knowledge base, designed for businesses that want to deploy AI-powered customer service on their websites without engineering resources. Founded in 2023 during the early ChatGPT wave, Chatbase serves 10,000+ businesses globally with hundreds of thousands of AI agents created across customer service, lead generation, and internal knowledge use cases. Pricing follows a tiered subscription model with both monthly and annual billing (annual saves 20%). Free covers 50 message credits/month, 1 agent, no AI Actions, and 400KB per agent (agents deleted after 14 days of inactivity). Hobby at $32/month ($384 annually) covers 500 message credits, 5 AI Actions per agent, 10MB per agent, 2 members, integrations, basic analytics, and attachments. Standard at $120/month ($1,440 annually) adds 4,000 message credits, voice, telephony, help desk, API access, Stripe, Zendesk, Salesforce, Intercom, HubSpot, and auto-retraining. Pro at $400/month ($4,800 annually) covers 15,000 message credits, 12 AI Actions per agent, advanced analytics, and source suggestions. Enterprise is custom-priced with higher limits, SSO, white-labeling, audit logs, priority support, and full HIPAA compliance with BAA. Chatbase's differentiation versus Intercom Fin, Sierra, and enterprise-grade AI customer service platforms is the no-code accessibility and rapid deployment: Chatbase users upload knowledge documents (PDFs, website URLs, Notion exports), configure a persona, and deploy a working AI agent within hours. The platform supports OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Meta Llama, and MoonshotAI models, giving teams model choice without platform lock-in. Data privacy is explicit: Chatbase does not use customer data to train AI models, relying on Retrieval-Augmented Generation (RAG) to generate responses from uploaded knowledge. AI Actions extend the platform beyond chatbot responses into agentic capabilities: agents can execute API calls, update CRMs, send emails, and integrate with Zapier, Twilio, Shopify, WhatsApp, Messenger, Instagram, Calendly, and WordPress. The Standard plan and above include voice and telephony support, expanding Chatbase from text-only chatbots into voice-capable AI customer service. Named integration gaps: no native Gorgias integration for ecommerce teams and no native ticket management system. Chatbase is not the right fit for enterprise teams needing deep omnichannel routing, agent collaboration workflows, or compliance beyond SOC 2 Type II, GDPR, and HIPAA. Intercom (from $29/seat/month) provides deeper team inbox and human-agent collaboration. Zendesk (from $55/agent/month) provides enterprise-grade omnichannel contact center capabilities. Q2 2026 state: HIPAA compliance launched May 25, 2026 for Enterprise customers with BAA, automatically enabling Zero Data Retention on the workspace. Voice and telephony added to Standard plan. LLM support expanded to include DeepSeek, Meta Llama, and MoonshotAI. SOC 2 Type II, GDPR, and HIPAA all confirmed. No AI training confirmed in privacy policy.

Pricing

freemium · $32

View pricing ↗

Segment

smb

Setup

easy

Verified

Jun 24, 2026

Transparency

Public

Contract

Monthly or Annual

Data training

Not Trained

Autonomy

Human Optional

Capabilities

ticket-resolutionautonomouscrm-syncworkflow-builderlead-generation

Pros & Limitations

Editorial assessment

Pros

✓No-code deployment produces the fastest time-to-live-agent in the category: upload knowledge documents, configure persona, and deploy a working AI agent within hours without engineering resources, materially faster than enterprise alternatives requiring weeks of configuration.
✓Explicit no-training data policy confirmed in privacy policy: Chatbase does not use customer data to train AI models and relies on RAG to generate responses, with HIPAA Enterprise deployments automatically enabling Zero Data Retention on the workspace.
✓Model-agnostic architecture supporting OpenAI, Anthropic, Gemini, DeepSeek, Meta, and MoonshotAI: teams choose the model that best fits their accuracy and cost requirements without platform lock-in, and can swap models without rebuilding the agent.

Limitations

⚠AI accuracy depends entirely on knowledge base quality: Chatbase agents are only as accurate as the uploaded documentation, meaning users without curated content get poorer resolution quality than enterprise AI customer service tools with dedicated AI training pipelines.
⚠No native ticket management, omnichannel routing, or human agent collaboration tools: purpose-built for chatbot and agent deployment, lacking the shared inbox, SLA management, and team collaboration features that integrated customer service platforms provide.
⚠Message credit pricing creates cost unpredictability at high conversation volumes: variable monthly usage based on conversation volume makes budget planning harder than per-seat alternatives, particularly for businesses with seasonal traffic spikes.

Technical Details

Deployment

webapi

Model architectureProprietary

Avg setup time< 30 minutes (sign up, upload knowledge documents or website URLs, configure persona, deploy chat widget)

Autonomous rateChatbase agents autonomously resolve customer queries using RAG-grounded knowledge base content and AI Actions. Resolution quality depends on knowledge base completeness. Chatbase does not publish a platform-average autonomous resolution rate.

Integrations

SlackWhatsAppHubSpotZapierWordPressShopifyNotionGoogle Drive

Security

SOC 2 Type IIGDPRHIPAA