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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
  • Model drift detection
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Every alarm ships with its guarantee_tag and theorem_ref.

All comparisons

ValidAnytime vs Datadog LLM Observability

LLM observability

Datadog LLM Observability puts LLM traces, cost and latency tracking, and out-of-the-box quality and safety checks in the same pane as your infrastructure — a real advantage if you already live in Datadog; ValidAnytime is the narrower alarm layer on the scores those checks emit. The difference is the guarantee: watch an eval score continuously through threshold monitors and false alarms accumulate with every look, while ValidAnytime's page tier holds a stated false-alarm budget at every look at once.

Capability comparison between ValidAnytime and Datadog LLM Observability.
CapabilityValidAnytimeDatadog LLM Observability
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 in the same pane as infra & APM
NoWe do not trace LLM calls — we watch the metrics your evals and services emit.
YesTraces, clusters, and cost tracking correlated with the rest of your Datadog telemetry.
Out-of-the-box quality & safety checks
PartialWe monitor the scores your checks produce; the checks themselves are yours (or Datadog's).
YesBuilt-in evaluations for quality, security, and safety signals.
Production alerting you can trust continuously
YesAn anytime-valid alarm with a certificate on every fire — built for always-on watching.
PartialMonitors on LLM metrics exist, but without a valid-under-peeking error guarantee.

Where Datadog LLM Observability 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.

  • LLM telemetry lives beside your infra, APM, and logs — one pane, one vendor.
  • Out-of-the-box quality and safety evaluations.
  • Mature alerting integrations and on-call workflows.
  • Enterprise scale and support.

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: Datadog LLM Observability docs