Head-to-head

SyntheticBrew vs Chatbase: a support bot, or an agent with your tools?

Both put a grounded AI support agent on your website. Chatbase is a polished managed service billed in message credits. SyntheticBrew is an agent runtime you embed in your own product — pay your LLM provider directly, ground answers in your live systems through scoped tools, and set the whole thing up from Cursor or Claude Code via native MCP. All Chatbase figures below are from their public pricing and docs, July 2026.

Side by side

SyntheticBrew vs Chatbase: side-by-side comparison

Dimension	SyntheticBrew	Chatbase
What it is	An agent runtime you embed in your own product — website widget plus a REST and SSE API	A managed service for AI customer-support agents, run entirely on Chatbase infrastructure
Pricing model	Priced per monthly active user; with your own key, messages are unlimited on every plan	Message credits: one reply costs 1–5 credits depending on the model, and enabled AI Actions multiply requests per reply
Who pays for inference	You do, directly — bring your own provider key and pay list price with zero markup	Bundled into credits, and the credit cost per reply rises with the model you pick
Bring your own LLM key	Yes — add models on your own provider keys (any OpenAI-compatible endpoint or OpenRouter); plus an optional per-request end-user BYOK mode admins can enable	No documented bring-your-own-key option; usage runs on pooled message credits
Manage from a coding agent (MCP)	Native MCP server in the official registry: connect Cursor or Claude Code over OAuth and provision agents, knowledge, and the embed snippet from your editor	No MCP support documented; third-party wrappers over the REST API only
API access	Full REST + SSE API on every plan, including Free	API access starts on the Standard plan ($120/mo billed annually)
Agents included	Multiple agents with runtime delegation between them	1 agent on every self-serve plan; each extra agent is $300/year
Remove vendor branding	Removed on any paid plan, from $49/mo	"Powered by Chatbase" removal is a $1,188/year add-on (free on Enterprise)
Built-in channels	Website widget + REST/SSE API today; other channels bridge through your backend	Broad built-in catalog: WhatsApp, Messenger, Instagram, Slack, Zendesk, Salesforce, Intercom, and more
Voice & telephony	Not offered today	Included from the Standard plan
Knowledge grounding	Knowledge bases with RAG plus typed knowledge graphs; grounded answers with source attribution	Training on sites, files, and text (1–40 MB depending on plan)
Data portability	Agents, knowledge, and session history are readable and exportable through the API; agent config lives as code in your repo	Vendor-managed; free-plan agents are deleted after 14 days of inactivity

Where SyntheticBrew differs

Where SyntheticBrew differs from Chatbase — and why it matters

Token prices, not credit arithmetic

Chatbase meters in message credits: a single reply costs 1 to 5 credits depending on the model, AI Actions multiply the requests behind one answer, and refills are $40 per 1,000 credits. SyntheticBrew has no credit layer — bring your own LLM key, pay your provider’s raw token price, and be billed only by how many distinct people your agent talks to.

Why it matters: Credit systems make support costs hard to predict: switching to a better model or enabling an action can double or triple burn overnight. Paying token prices directly keeps the bill proportional to actual usage — and lets you choose models on merit, not on credit multipliers.

Set up from Cursor, not from a dashboard

SyntheticBrew ships a native MCP server, listed in the official MCP registry. Connect it to Cursor, Claude Code, or any MCP client over OAuth, and your coding agent provisions the agent, loads knowledge, and hands you the embed snippet — one prompt, end to end. Chatbase documents no MCP support.

Why it matters: If your team already lives in a coding agent, the fastest setup is the one you never leave your editor for. It also means your agent config is reproducible — re-run the prompt, get the same deployment.

Grounded in your systems, not just your FAQ

Chatbase answers from content you upload and pages it scrapes. SyntheticBrew adds typed knowledge graphs on top of RAG and gives agents scoped MCP tools, so an answer can come from your live order, account, or inventory systems — with source attribution, forwarded user identity, and a confirmation gate before any consequential write.

Why it matters: Support questions are rarely about documents. Once a customer asks about their own order or account, a scraped-FAQ agent has to hand off; an agent with permission-scoped tools can resolve it and show you exactly which calls it made.

For enterprise teams

An enterprise-ready Chatbase alternative

Bring your own model keys — per request or per agent, used once and never logged.
Ed25519-signed JWTs, scoped API tokens, and an audit trail of agent actions.
No per-seat or per-agent surcharges at any volume.
Confirmation gates before consequential actions, with the result verified after the write.

Enterprise AI agents

Choose for the job

Pick by what you value

Need WhatsApp, Instagram, or voice channels out of the box with zero infrastructure? Chatbase covers that today. Want predictable token-price economics, a deployment you own, an API from the free tier, and setup driven by your coding agent? That is exactly what SyntheticBrew is built for — and you can read the engine’s source before deciding.

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Questions

SyntheticBrew vs Chatbase: FAQ

Is SyntheticBrew a good Chatbase alternative?

If you want to own the deployment, pay LLM providers directly instead of buying message credits, or drive setup from Cursor / Claude Code via MCP — yes. If you need built-in WhatsApp, Messenger, or voice channels with zero infrastructure work, Chatbase currently covers more channels out of the box.

When is Chatbase the better choice?

When nobody on the team will ever touch a terminal and you need built-in messaging channels (WhatsApp, Instagram, Messenger, Slack) or telephony from day one. Chatbase’s fully managed flow has less friction for that profile — at the cost of credits-based pricing and no model choice.

What does each actually cost to run?

SyntheticBrew is $0 to start and priced by monthly active users, with unlimited messages on your own key at your provider’s list price. Chatbase plans run $32–$400/month (billed annually) with 500–15,000 message credits, where one reply burns 1–5 credits by model; extras include $40 per 1,000 credits, $300/year per additional agent, and $1,188/year to remove their branding.

Can I migrate from Chatbase to SyntheticBrew?

Your knowledge sources are your own docs and site content — re-ingesting them into a SyntheticBrew knowledge base takes minutes, from the dashboard or via MCP from your editor. There is no automated importer, but there is also no custom format to convert out of.

Which LLMs can I use with each?

SyntheticBrew works with any OpenAI-compatible endpoint or OpenRouter — hundreds of models, on your key, switchable per agent, with an optional per-request end-user BYOK mode. Chatbase offers a curated model list (OpenAI, Anthropic, Gemini, and others) running on their credits, with higher-tier models consuming more credits per message.

Can I embed SyntheticBrew in a product I sell to my own customers?

Yes — that is the primary use case. Agents are multi-tenant aware: the runtime carries the authenticated user and organization context into every tool call, isolates memory by the (tenant, schema, user) triple, and scopes tools per agent, so one of your customers can never see another’s data. Paid plans remove the attribution badge, and the REST and SSE API is available on every plan including Free.

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