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LLM-Ready Components

Discover standardized, LLM-ready components for your projects.

AllAutomation (9)Email (4)Web3 & Blockchain (4)Chat & Messaging (6)Audio & Voice (1)Storage (6)Security (5)Authentication (9)Messaging (5)monitoring (4)Payment (5)Data & Database (10)Media (9)Analytics (4)AI & ML (14)Networking (5)

@radzor/user-segmentation

v0.1.0

Segment users based on attributes and behavioral rules. Define segments with filter expressions, evaluate users against them, and list matching segments. In-memory rule engine, zero dependencies.

typescriptpythonServer
1 inputs1 outputs4 actions
standalone

@radzor/event-tracker

v0.1.0

Track user events and page views for analytics. Buffers events in memory and flushes them in batches to a configurable HTTP endpoint. Zero dependencies — uses raw fetch.

typescriptpythonUniversal
Community

Missing a component?
Ask for it.

Tell us which component costs you the most time, and we'll build it — with a full manifest, LLM docs, and production-ready code.

→A Stripe checkout component with webhook handling
→An S3 file uploader with progress events
→A rate-limiter with sliding window algorithm
→An email queue with retry and backoff

Drop your request on Discord

Join the community, post in #components-requests, and describe what you need. We prioritize based on real demand.

Request on Discord
4 inputs1 outputs4 actions2 events
standalone

@radzor/ab-test

v0.1.0

Run A/B tests with deterministic variant assignment and conversion tracking. Supports multi-variant experiments, traffic allocation, and statistical significance calculation. Zero dependencies.

typescriptpythonServer
2 inputs2 outputs4 actions1 events
standalone

@radzor/funnel-report

v0.1.0

Build and analyze conversion funnels. Define ordered steps, record user progression, and generate reports with conversion rates and dropoff analysis. In-memory, zero dependencies.

typescriptpythonServer
3 inputs1 outputs4 actions
standalone