Metrics that kill hallucinations

Full fidelity metrics at the resolution and cardinality that agents and engineers need to solve problems.

14 days, all features, no credit card required.

Metrics engine

Open standards, fast queries, and a full audit trail

Open standards

PromQL, OTLP, and Prometheus remote_write in. Metrics stored in an open format, in object storage you own, so other tools read them without going through us.

High performance distributed querying

A distributed metrics query engine, built in Rust, parallelises huge queries into actionable segments, for scalable performance.

Governance and audit

See which metrics and queries are actually being used, then rewrite a metric, block it, or let fixed rules and Dynamic TCO do it for you.

Full fidelity

What your engineers and your agents both need from a metric

Cardinality

Tens of millions of active time series

Tens of millions of active time series out of the box. Put User ID, Session ID, and URL on the same series, and track what the business cares about.

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Resolution

15 second resolution at no extra cost

Coralogix charges nothing extra for 15 second resolution. Every minute carries four data points instead of one, so your agents reason from full fidelity metrics and answer from evidence rather than guessing at what happened between samples.

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Dynamic TCO for Metrics

Metrics that optimize based on usage

Dynamic TCO tiers metrics by how they are actually used. Two adaptive rules send every metric nobody has queried in 14 days, or that only broken queries touch, to the cheaper Low tier, for a huge reduction in cost without losing fidelity or access.

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High availability

Simplify your metrics pipeline

Run high availability collectors side by side and point them all at Coralogix. Identical series are joined on arrival, so you get failover and dedupe without running Thanos or any other aggregation layer of your own.

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Metrics from Prometheus, OpenTelemetry, AWS, Thanos and Google Cloud converging into Coralogix
Governance

Know what every metric costs before you pay for it

Every metric carries its own usage record: cost, cardinality, and the label that drives it, plus which queries read it, how often, and from where. Find the expensive one, block it in a click and restore it in another, or let Dynamic TCO move unqueried series to a cheaper tier and bring them back on the first read.

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Agents

Built for agents

The same metrics that power your dashboards feed autonomous investigation. An agent queries the full series through PromQL, the CLI, or the API, and works from every data point rather than a sample.

Explore the CLI
A Claude console using the Coralogix CLI to count users with login errors and list the top ten
Billable unit

What is an active time series?

One series, counted once in a rolling 60 minute window, however often it reports. Send full fidelity metrics and pay only for your true cardinality.

See pricing
Metric governance

See what you send, and decide what it costs

Metric usage

Usage, cardinality, dimensions and label variations, for every metric you send.

Query usage

Which queries read a metric, how often, and from where: dashboards, alerts, recording rules, or the API.

Block and restore

Every metric ranked against your quota, blocked in one click and restored in another.

Dynamic TCO

Series nobody queries move to a cheaper tier on their own, and come back in full on the next read.

Full-fidelity metrics

Give your agents
metrics they can reason from

Full resolution and full cardinality, billed only on the series that are genuinely unique.

15sResolution at no extra cost
Tens of millionsActive time series out of the box
PromQLYour existing queries, unchanged