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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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  • LLM eval regression
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  • Alert fatigue

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Home/Solutions/For SRE & platform teams

For SRE & platform teams

Your runbook says “ignore the first alert.” That's the tell.

A threshold checked every 30 seconds isn't a monitor — it's a random false-alarm generator, and on-call knows it. So the pages get muted, and the real incident scrolls past at 2am. ValidAnytime is the trustworthy alarm layer: point it at any latency, error-rate, or availability stream you emit and get one alarm per real change, valid no matter how often it's evaluated, with a false-alarm budget across the whole fleet.

Start freeSee the peeking problem

Free to start · no credit card

The 2am page nobody trusted.

p99 latency crosses the line at 2:14am. On-call glances, mutters “it does that,” and snoozes it — because that alert has fired on nothing 40 times this month. This time it wasn't nothing. By 6am the quarter's error budget is gone. Nobody was negligent. The alarm had trained the team to ignore it, one false page at a time.

A fixed threshold, checked continuously, is a false-alarm machine.

APM and dashboards are great at showing what happened — keep them. But a static threshold or a hand-tuned anomaly monitor evaluated every few seconds trips on healthy noise: check a fixed 5%-error test 5 times and the real false-positive rate is already ~23%; at 20 looks it passes 64%. Over a day of evaluations that's a certainty, multiplied across every service and SLO — alert fatigue by construction, with no global bound on false pages.

  • Flappy alerts on healthy noise; on-call mutes the channel.
  • Runbooks that literally say “wait for the second alert.”
  • Every new service adds monitors and adds noise — no shared budget.
  • Slow burns that never trip a loose threshold until they're an outage.

How it works for you

  1. 1

    Emit the metric

    Send any numeric stream you already have — p99 latency, error rate, saturation, queue depth, availability — through one HTTP call or the SDK. Any numeric metric via the API; you don't route your whole APM through us.

  2. 2

    Backtest before it pages anyone

    Replay your history: the config has to stay quiet on your normal weeks and fire on the incident you already know about before it can page a human.

  3. 3

    Page once, when it's real

    Anytime-valid e-detectors accumulate evidence; online FDR bounds false discoveries across every stream. When it fires, it's backed by evidence on a stated false-alarm budget — so on-call stops triaging noise and starts fixing things.

Watch it stay quiet on noise — then fire once.

Drag the slider: the fixed threshold racks up more false alarms the more often you check; the evidence line doesn't. Or load a latency history into the browser demo and see whether — and at which point — it would have paged.

Same stream, two ways of watching it
Watching:
now: —
injected drift begins · day 84LLM answer-quality scorefixed threshold ±1.9σValidAnytime — evidence of a real changealarm level
hourly

Fixed threshold — ≈ 7 false alarms

The more often you look, the more it cries wolf on stable noise.

ValidAnytime — 0 alert, 0 false

Watching — no evidence of a real change yet.

20 parallel worlds— 20 simulated healthy streams; almost none ever cross.

Roll 20 genuinely random healthy streams and watch nearly all of them stay quiet — the false-alarm bound, re-runnable yourself.

Illustrative run on a synthetic stream, scored by the same anytime-valid detector we run on your data. The metric labels above are just framing — the numbers and the detector’s behavior are identical. In onboarding, ValidAnytime replays your history and shows whether — and on which day — it would have caught your regression.

p99 latency — step + creep

Synthetic, illustrative — runs in your browser, nothing uploaded.

Watch it get caught

E-process certificate — every alarm ships one

warned_at
hour 68 — warning tier, model-calibrated, unbudgeted
paged_at
hour 78 — inside the stated false-alarm budget
e_value
20.2
fleet_review
confirmed discovery — online FDR control (e-LOND)
guarantee
average_run_length_e_detector / anytime_valid_under_conditional_mean_null

From the seeded demo — synthetic stream, real engine. Load it in the live dashboard →

We're not replacing Datadog. We're fixing the alarm.

ValidAnytime is not an APM, a tracer, or a log platform, and we don't claim first-party integrations with them yet. The honest story today: you stream any numeric metric to the API, and your on-call flow reads the resulting alarms back from the API or SDK — webhook delivery is on the roadmap. Keep your dashboards for investigation; use ValidAnytime for the one thing they do badly: an alarm you can trust continuously, with a certificate on every fire.

  • vs Threshold dashboards (Datadog / Grafana-style)

Questions, answered

Keep reading

  • How to reduce alert fatigue
  • Model drift detection without false alarms
  • The peeking problem
  • Online FDR control
  • False discovery rate
  • Your monitoring dashboard is lying to you
  • Rolling band — the rule behind dynamic thresholds
  • The honest drift-detector benchmark

See whether — and on which day — it would have caught your last regression.

Point ValidAnytime at one stream and it replays your own history — free, no credit card.

Free to start · no credit card · we’ll only email you about your account.