| name | databuddy |
| description | Integrate Databuddy analytics using the SDK, REST API, or MCP. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, MCP agents, or querying analytics data programmatically. |
| metadata | {"author":"databuddy","version":"2.3"} |
Databuddy
Databuddy is a privacy-first analytics platform. This skill covers both the SDK (@databuddy/sdk) and the REST API.
External Documentation
For the most up-to-date documentation, fetch: https://databuddy.cc/llms.txt
When to Use This Skill
Use this skill when:
- Setting up analytics in React/Next.js/Vue applications
- Implementing server-side tracking in Node.js
- Adding feature flags to an application
- Tracking custom events, errors, or Web Vitals
- Integrating LLM observability with Vercel AI SDK
- Querying analytics data via the REST API or MCP
- Building MCP agents or AI-powered analytics workflows
- Building custom dashboards or reports
SDK Entry Points
| Import Path | Environment | Description |
|---|
@databuddy/sdk | Browser (Core) | Core tracking utilities and types |
@databuddy/sdk/react | React/Next.js | React component and hooks |
@databuddy/sdk/node | Node.js/Server | Server-side tracking with batching |
@databuddy/sdk/vue | Vue.js | Vue plugin and composables |
@databuddy/sdk/ai/vercel | AI/LLM | Vercel AI SDK middleware for LLM analytics |
Quick Start
React/Next.js
import { Databuddy } from "@databuddy/sdk/react";
export default function RootLayout({ children }) {
return (
<html>
<body>
{children}
<Databuddy
clientId={process.env.NEXT_PUBLIC_DATABUDDY_CLIENT_ID}
trackWebVitals
trackErrors
trackPerformance
/>
</body>
</html>
);
}
Node.js Server-Side
import { Databuddy } from "@databuddy/sdk/node";
const client = new Databuddy({
clientId: process.env.DATABUDDY_CLIENT_ID,
enableBatching: true,
});
await client.track({
name: "api_call",
properties: { endpoint: "/users", method: "GET" },
});
await client.flush();
Feature Flags
import { FlagsProvider, useFlag, useFeature } from "@databuddy/sdk/react";
<FlagsProvider clientId="..." user={{ userId: "123" }}>
<App />
</FlagsProvider>
function MyComponent() {
const { on, loading } = useFeature("dark-mode");
if (loading) return <Skeleton />;
return on ? <DarkTheme /> : <LightTheme />;
}
LLM Analytics
import { databuddyLLM } from "@databuddy/sdk/ai/vercel";
import { openai } from "@ai-sdk/openai";
const { track } = databuddyLLM({
apiKey: process.env.DATABUDDY_API_KEY,
});
const model = track(openai("gpt-4o"));
Key Configuration Options
| Option | Type | Default | Description |
|---|
clientId | string | Auto-detect | Project client ID |
disabled | boolean | false | Disable all tracking |
trackWebVitals | boolean | false | Track Web Vitals metrics |
trackErrors | boolean | false | Track JavaScript errors |
trackPerformance | boolean | true | Track performance metrics |
enableBatching | boolean | true | Enable event batching |
samplingRate | number | 1.0 | Sampling rate (0.0-1.0) |
skipPatterns | string[] | — | Glob patterns to skip tracking |
Common Patterns
Disable in Development
<Databuddy
disabled={process.env.NODE_ENV === "development"}
clientId="..."
/>
Skip Sensitive Paths
<Databuddy
clientId="..."
skipPatterns={["/admin/**", "/internal/**"]}
maskPatterns={["/users/*", "/orders/*"]}
/>
Custom Event Tracking
import { track } from "@databuddy/sdk/react";
track("purchase", {
product_id: "sku-123",
amount: 99.99,
currency: "USD",
});
await client.track({
name: "subscription_renewed",
properties: { plan: "pro", amount: 29.99 },
});
Global Properties
window.databuddy?.setGlobalProperties({
plan: "enterprise",
abVariant: "checkout-v2",
});
client.setGlobalProperties({
environment: "production",
version: "1.0.0",
});
REST API
Base URLs
| Service | URL | Purpose |
|---|
| Analytics API | https://api.databuddy.cc/v1 | Query analytics data |
| Event Tracking | https://basket.databuddy.cc | Send custom events |
Authentication
Use API key in the x-api-key header:
curl -H "x-api-key: dbdy_your_api_key" \
https://api.databuddy.cc/v1/query/websites
Get API keys from: Dashboard → Organization Settings → API Keys
Query Analytics Data
curl -X POST -H "x-api-key: dbdy_your_api_key" \
-H "Content-Type: application/json" \
-d '{
"parameters": ["summary", "pages"],
"preset": "last_30d"
}' \
"https://api.databuddy.cc/v1/query?website_id=web_123"
Available Query Types:
| Type | Description |
|---|
summary | Overall website metrics and KPIs |
pages | Page views and performance by URL |
traffic | Traffic sources and referrers |
browser_name | Browser usage breakdown |
device_types | Device category breakdown |
countries | Visitors by country |
errors | JavaScript errors |
performance | Web vitals and load times |
custom_events | Custom event data |
Date Presets: today, yesterday, last_7d, last_30d, last_90d, this_month, last_month
MCP (Model Context Protocol)
Databuddy exposes an MCP server for AI agents (Cursor, Claude Desktop, etc.) to query analytics. Use for natural-language questions, automated reports, or structured data extraction.
Endpoint: POST https://api.databuddy.cc/v1/mcp (local: http://localhost:3001/v1/mcp)
Auth: API key with read:data scope via x-api-key or Authorization: Bearer <key>
Tools:
ask – Natural-language analytics questions (e.g. "top 5 pages last week")list_websites – List accessible website IDsget_data – Pre-built query with websiteId, type, and preset or from/toget_schema – ClickHouse schema docs (tables, columns)capabilities – Query types with descriptions, date presets, hints
Date presets for get_data: last_7d, last_30d, last_90d, today, yesterday, this_week, this_month, etc.
Cursor setup (mcp.json): Add a Databuddy MCP entry with the API URL and your API key.
Send Events via API
curl -X POST \
-H "Content-Type: application/json" \
-d '{
"type": "custom",
"name": "purchase",
"properties": {
"value": 99.99,
"currency": "USD"
}
}' \
"https://basket.databuddy.cc/?client_id=web_123"
Batch Events
curl -X POST \
-H "Content-Type: application/json" \
-d '[
{"type": "custom", "name": "event1", "properties": {...}},
{"type": "custom", "name": "event2", "properties": {...}}
]' \
"https://basket.databuddy.cc/batch?client_id=web_123"
Reference Documentation
For detailed documentation, see:
Source Code
- SDK:
packages/sdk/
- API:
apps/api/
- API Docs:
apps/docs/content/docs/api/
