Product roadmap

JavaScript, React, Next.js, Vue, Nuxt, Bun, and Node.js SDKs

Key features:

• JS/React/Next.js
• Vue and Nuxt
• Bun support
• Node.js SDK
• Cookieless collection

Pageviews, clicks, conversions, funnels, goals, and retention tracking

Key features:

• Event tracking
• Funnels
• Goals
• Retention cohorts
• Privacy-first

JavaScript error capture, analysis, and trend visualization

Key features:

• Error capture
• Stack traces
• Error trends
• Top errors dashboard

Export analytics data in multiple formats

Key features:

• CSV export
• JSON export
• Date range selection

Individual user behavior tracking with sessions and profiles

Key features:

• User profiles
• Event history
• User journey

Type-safe feature flags with targeting, rollouts, and schedules

Key features:

• Type-safe flags
• Progressive rollouts
• User targeting rules
• Target groups
• Flag dependencies
• Scheduled rollouts

Add context to charts with annotations and markers

Key features:

• Deploy markers
• Event annotations
• Custom notes

Core Web Vitals monitoring with LCP, FCP, CLS, INP, and TTFB tracking

Key features:

• LCP/FCP/CLS/INP/TTFB
• Real Experience Score

Enterprise SSO with OIDC and SAML support

Key features:

• OIDC providers
• SAML providers
• Organization provisioning

Endpoint monitoring with configurable check intervals

Key features:

• Configurable intervals
• Uptime heatmaps
• Status pages
• Downtime alerts

Multi-channel notifications for alerts and reports

Key features:

• Slack notifications
• Email notifications
• Custom webhooks

Track and analyze AI/LLM API calls with cost and performance

Key features:

• Cost tracking
• Token usage
• Latency metrics
• Error analysis
• Trace visualization
• Model comparison

Full-featured link shortening with analytics and device targeting

Key features:

• Click analytics
• Custom OG tags
• Device targeting (iOS/Android)
• Bot detection
• Rate limiting
• QR codes

An intelligence agent investigates signals from your data and reports its findings in a case timeline

Key features:

• Error spike detection
• Vitals degradation
• Route health
• Funnel drop-offs
• Goal changes

Ask Databunny about your data in a Slack thread and send investigations to the channels you choose

Key features:

• Threaded answers with charts
• Investigation channels
• Slack Marketplace install

Investigations line up a change with the deploys and commits that came right before it

Key features:

• Organization-wide GitHub App
• Repository-to-website mapping
• Deploy and commit correlation

Identify signed-in users and follow their traits, sessions, and revenue over time

Key features:

• Identify calls in the SDK
• Trait history
• Names and emails encrypted at rest
• Filter queries by trait

Connect Stripe and see which sources and users bring in revenue, including renewals

Key features:

• Stripe App connection
• Recurring revenue from paid invoices
• Revenue on user profiles

Watch recorded visits, with clicks that got no response flagged and linked from investigations

Key features:

• Unanswered-click detection
• Filter by segment, trait, or event
• Replays in Databunny chat and MCP

Connect Claude, Cursor, and other MCP clients by signing in, without copying an API key

Key features:

• OAuth sign-in for interactive clients
• Approve each change before it runs
• Built-in prompts

Track tool calls, clients, and errors on your own MCP server with one SDK wrapper

Key features:

• Tool calls by client
• Errors grouped by code
• Trends per tool

See which AI products and crawlers read your pages, and whether robots.txt blocks them

Key features:

• AI products per page
• Failed and blocked requests
• Dated robots.txt status

Bring your history over from a Plausible dashboard export, checked before the import starts

Key features:

• Dashboard export upload
• Pre-import checks
• Referrers kept

A chronological brief of agent observations, including improvements and recoveries, with investigations as a smaller durable work queue

Key features:

• Chronological observation feed
• Improvements and recoveries surfaced
• Quiet rechecks without alert noise
• Same case thread across dashboard, Slack, and MCP

Grading agent output against real production data until root cause, impact, next action, and verification are consistently useful

Key features:

• Grading against production data
• Exact entity definitions preserved end to end
• Business meaning researched before asking
• Goal and funnel meaning captured during investigations

Let a website run continue past the first useful signal, with a cost cap and one independent agent turn per subject

Key features:

• Multiple signals per run
• Cost caps
• Independent agent turn per subject

The agent proposes a patch and verification plan, Databuddy validates it and opens one linked PR, then verifies the signal after merge

Key features:

• Patch proposals without write credentials
• Validated patches
• One linked PR per case
• Resume on review events
• Post-merge verification