Track what matters.
Skip the infrastructure.
Time-series metrics that work with your existing database.
Track counters, revenue, and hierarchical data across Ruby, Elixir, and Go.
# Track any metric in a single call
Trifle::Stats.track(
key: 'orders',
at: Time.now,
values: {
count: 1,
revenue: 99.0,
country: { us: 1 },
channel: { web: 1 }
}
)How DropBot tracks 80M+ daily calculations
Products calculated daily
Events tracked daily
Background jobs every day
"With Trifle, we went from zero visibility into our pricing pipeline to catching anomalies before customers notice. The combination of Stats and Traces gives us both the big picture and the ability to drill into individual job executions."
The Trifle Ecosystem
From library to dashboard to CLI. Ready for humans or agents at any time.
Trifle Stats
The Core Library
Minimal time-series metrics for Ruby, Elixir, and Go. Works with your existing database.
Learn more →Trifle App
Dashboards & Automation
Visual dashboards, alerts, scheduled digests, and AI chat. Cloud or self-hosted.
Learn more →Trifle CLI
Terminal & AI Agents
Query metrics from your terminal. MCP server mode lets AI agents access your data.
Learn more →How Trifle Works
Data flows in, Trifle ensures correct tracking distribution. That makes it instantly queryable at any resolution.
01 / Data in
One call in your code
A key, a timestamp, nested values. Rolled up into time buckets as you write.
02 / Data out
Buckets at any resolution
Pick a timeframe and granularity. Timestamps and values come back.
03 / Visual layer
Dashboards, alerts, digests
Trifle App reads the same database and turns keys into dashboards and monitors.
How Trifle compares
Different data models for different jobs. The tradeoffs matter more than checkmarks.
| Decision area | Trifle | StatsD | Prometheus + Grafana | TimescaleDB | SQL + materialized views | PostHog |
|---|---|---|---|---|---|---|
| Primary job | Known business KPIs | Metric transport | Systems monitoring | Time-series SQL | Database-derived reporting | Product analytics |
| Stored unit | Pre-aggregated bucket + value tree | Flush aggregates in a backend | Labeled time series | Timestamped hypertable rows | Source rows + persisted query results | Events + identity |
| Breakdown model | Nested paths + separate keys | Flat names (classic) | Labels | Columns + SQL grouping | Columns + SQL grouping | Event/person properties |
| New breakdown later | Requires a new path/key | Backend-dependent | Query existing labels | Query retained columns | Query retained columns | Query stored properties |
| Unbounded entities | Use separate metric keys | Names/tags depend on dialect | Avoid high-cardinality labels | Retain as row values | Retain as row values | Retain as event properties |
| Dashboard path | Read precomputed buckets | Determined by backend | Query and aggregate series | SQL or continuous aggregates | Run query or read refreshed view | Query event history |
| Storage location | Existing DB or hosted project | Chosen backend | Prometheus-compatible TSDB | PostgreSQL + TimescaleDB | Application/reporting database | PostHog event store |
| Best fit | Stable, high-volume app KPIs | Simple universal metrics | Infrastructure + services | Flexible time-series SQL | Auditable source-derived reports | User behavior + product work |
One metrics API for every use case
Track what matters with the same simple interface, no matter the use case.
Revenue Tracking
Track orders, revenue, and conversion rates across products, channels, and regions with hierarchical breakdowns.
Background Workers
Monitor job throughput, success rates, and processing times for Sidekiq, Oban, or any background processing system.
Feature Usage
Measure which features get used, how often, and by which user segments. No third-party analytics needed.
Custom Code Insights
Instrument any part of your codebase. Track API response times, cache hit rates, or custom business logic metrics.
Business KPIs
Build dashboards for non-technical stakeholders. Daily signups, churn rates, and funnel metrics at a glance.
AI Agent Analytics
AI agents build a local metrics database with Trifle CLI, query it via MCP, and you upload the file to Trifle App to visualize. Skills for Claude, Codex, and friends included.
Your AI agent already knows Trifle
Install open-source Agent Skills with npx -y @trifle-io/install. Claude Code, Codex, Cursor, Hermes, Pi, and other coding agents get best practices for metric payloads, execution tracing, and CLI analytics built in.
Get Cloud Pro for $399
First 20 Trifle App customers get unlimited users and all Pro features at $19/month for life. The libraries are open source and the CLI is free to use.
I'll personally onboard the first 20 customers in a 30-minute session. We'll instrument one real metric together.
Claim Your SpotReady to simplify your metrics?
Start with the open-source library in your existing app, or jump straight to the dashboard for a complete analytics experience.