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ValidAnytime

A guaranteed false-alarm budget across your whole fleet, valid no matter how often you look.

Made by Compiled Intelligence — a frontier AI lab working on quantitative finance from first principles; ValidAnytime is the monitoring we built for our own model fleets, productized.

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  • For LLM engineers
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  • LLM eval regression
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Every alarm ships with its guarantee_tag and theorem_ref.

All comparisons

ValidAnytime vs Langfuse

LLM observability

Langfuse is a strong open-source home for LLM tracing, prompt management, and evaluation — self-hostable, which many teams love — while ValidAnytime is the production alarm on the scores those evals emit. Where Langfuse stops is alerting you can lean on: run evals on a schedule and the more often you check, the more they false-alarm. ValidAnytime watches those scores with an anytime-valid guarantee, so a real regression trips one alarm as soon as the evidence is decisive — not a week of noise you learn to mute.

Capability comparison between ValidAnytime and Langfuse.
CapabilityValidAnytimeLangfuse
Valid under continuous monitoring (unlimited peeking)
YesAnytime-valid by construction — Ville's inequality bounds the false-alarm rate at every look at once.
NoFixed thresholds and fixed-n tests inflate false alarms the more often you check.
Fleet-wide false-alarm control (online FDR)
YesA false-discovery budget shared across every stream, not per-alert luck.
NoAlerts are configured per-metric; no global bound on false discoveries.
Per-alarm statistical certificate
YesEvery alarm ships a guarantee tag and a theorem reference — you can audit why it fired.
NoAn alert tells you a line was crossed, not what its error guarantee is.
Prove it on your own history before committing (backtest gate)
YesReplay your past data: a config only ships if it stays quiet on normal history and fires on a real regression.
PartialYou can chart history, but there is no gate that validates a detector's error behaviour before it goes live.
LLM tracing & prompt management
NoWe do not trace calls or manage prompts — we watch the metrics your evals produce.
YesRich tracing, prompt versioning, and playground tooling.
Self-hostable, open-source core
NoThe anytime-valid engine runs in the ValidAnytime cloud; the thin API client and the classical-detector library are open-source, the engine is not.
YesOpen-source and self-hostable — a genuine advantage for some teams.
Production alerting you can trust continuously
YesAn anytime-valid alarm with a certificate on every fire, plus a fleet-wide false-alarm budget.
PartialEvals, scores, and dashboards exist, but alerting has no valid-under-peeking guarantee.

Where Langfuse is genuinely stronger

We are not trying to be a dashboard, a tracer, or a platform. If you need these, reach for the right tool — often alongside ValidAnytime.

  • Open-source and self-hostable LLM observability core.
  • Rich tracing, prompt management, and evaluation tooling.
  • Fast-growing ecosystem and integrations across LLM frameworks.

A comparison table is claims; behavior is measurable. The honest drift-detector benchmark replays every detector we ship — including the classical control-chart rules most monitoring stacks alert with — against labeled synthetic breaks, and the detector guides explain each rule, where it wins, and where it lies.

Don’t take our word for it — prove it on your data.

Replay your own history through the backtest gate and see whether — and at which point — ValidAnytime would have caught your regression. Free, in minutes.

Prove it on your dataTry the detector in your browser

Comparison based on public documentation as of July 2026; corrections welcome — email hello@validanytime.com. Source: Langfuse docs