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Introduction to the Metric Check

The Metric check follows one numeric value over time, such as a daily total, a rate, or a balance that lives in a single row. Each Scan records the value and compares it with a fixed range, or with the previous measurement, and reports a Record Anomaly when it falls outside the limits you set. It is the rule to use when one number, not every row, is what you need to watch.

This section is the complete guide to the check. The Deep Dive covers the definition, properties, and evaluation semantics, details each comparison, explains how anomalies are reported, walks through production examples, and collects best practices. The How-tos are step-by-step tutorials for creating, editing, and deleting a check. The API page documents the payload for programmatic use, and the FAQ answers the most frequent questions.

Next Steps

  • How It Works


    The complete reference: definition, why the check needs exactly one row, the properties, the previous measurement, and the locks after the first Scan.

    How It Works

  • Comparisons


    What Absolute Value, Absolute Change, and Percentage Change measure, and what each one compares against.

    Comparisons

  • Anomaly Reporting


    What the Record Anomaly reports, how to read its numbers, and what the source record shows.

    Anomaly Reporting

  • Examples


    Three production scenarios: a daily revenue total, a rate for one region, and a running balance.

    Examples

  • Best Practices


    Guidelines for putting the value in one row, choosing the read strategy and comparison, and reading change anomalies.

    Best Practices

  • Permissions


    The team permission each action needs: view, create, edit, validate, archive, restore, and delete.

    Permissions

  • Create a Check


    Step-by-step tutorial for creating a Metric check on a table or file.

    Create a Check

  • Edit a Check


    Step-by-step tutorial for changing the limits or filter of a check, or its field and comparison before the first Scan.

    Edit a Check

  • Delete a Check


    Step-by-step tutorial for archiving a check and deleting it permanently.

    Delete a Check

  • Troubleshooting


    Common problems: a check that resolves to several rows or none, a first Scan that never alerts, and an unexpected baseline.

    Troubleshooting

  • API


    Payload shape, field notes, and the measurements endpoint for managing a Metric check programmatically.

    API

  • FAQ


    Short answers to questions about what the check measures, why it needs one row, and how its history works.

    FAQ