Overview

Monte Carlo's data exports make it easy to access and analyze critical metadata about your Data + AI Observability platform. It replaces our legacy "Insights" reports with a more aligned, flexible, and transparent approach to exporting Monte Carlo data.

With data exports, you can retrieve structured information on Monitors, Alerts, Events (the underlying events in an alert), and Assets—directly from the UI, via API/CLI, or through Snowflake data shares. These exports are refreshed daily and mirror what you see in Monte Carlo, allowing for easy integration into internal workflows, self-service reporting, and deep analysis.

For users seeking logs of each individual executions of a monitor, we recommend Monitor logs. This allow users to send detailed monitor execution logs to external systems via webhooks. Though it is a separate feature from data exports, the data is designed to be easily joined with data from Exports. Monitor logs are sent close to real-time and are useful for organizations that want to centralize auditing and compliance in their own tools or platforms.

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Data exports are available to workspaces on the Scale and Enterprise plans.

Key Benefits

Rich, structured data for Monitors, Alerts, Events, and Assets
Reliable, daily-refreshed exports that match what you see in Monte Carlo
Download directly from relevant Monte Carlo product pages for one-off analysis
Snowflake data shares available through Monte Carlo customer support

Access methods

Method	Description
UI	Navigate to Monitors, Alerts, or Assets pages and download CSVs.
API / CLI	For programmatic access.
Snowflake	Access shared tables via Snowflake data share. Enable through Monte Carlo customer support.
BigQuery	Example script to export from the CLI coming soon.
Databricks	Example notebook to export from the CLI coming soon.

Note: The Alerts export includes both Alerts and their related Events.

CLI

Follow the CLI guide to get set up and see the export CLI docs for more information. Direct download and direct upload to S3 are both options.

Snowflake data share

For Snowflake users, we offer the ability to use data exports via Snowflake's Data Sharing capabilities. This is an opt-in feature, and is available in the following Snowflake data warehouse regions:

AWS: us-east-1, us-east-2, us-west-2, ca-central-1, eu-west-1, eu-central-1, ap-northeast-1, ap-southeast-2

Azure: eastus2, centralus, westeurope, australiaeast, canadacentral

GCP: us-central1, us-east4

Please reach out to [email protected] to enable the Snowflake data share.

Migration from Legacy Insights

We're sunsetting the legacy Insights system. Here's what to expect:

The Insights tab will be removed from the UI
The “Monitored Tables” insight has been moved to Settings → Table monitors
Full deprecation will be July 1, 2025. If you have concerns about losing specific insight reports, please reach out to your customer success manager or [email protected].

FAQs

Are exports filtered by domain or audience?

No. Exports include all relevant records. Users restricted to specific domains do not have access to data exports.

Where can I find the export option in the UI?

Look for export/download buttons within the Monitors, Alerts, and Assets pages. There is no centralized "Exports" tab at this time.

How often are exports refreshed?

Daily, roughly between 01:00 - 03:00 UTC. You can generally expect the refresh to be available by 04:00 UTC daily.

Data export schemas

Each export contains a clean, well-documented schema. Fields are consistently named, and join keys are aligned across exports.

Monitors

Field	Description	Data Type	Example
`MONITOR_ID`	UUID of the monitor	`STRING`	`39280e8e-689a-49a8-9ccd-e70b7a7e1bcf`
`MONITOR_TYPE`	Type of monitor (e.g., validation, custom_sql)	`STRING`	`Validation`
`TITLE`	Monitor name or description	`STRING`	`SFDC → Account → Account info`
`PRIORITY`	Priority level	`STRING`	`P3`
`STATUS`	Monitor status	`STRING`	`Enabled`
`SCHEDULE`	Human-readable schedule	`STRING`	`every 1 week(s) starting at Nov 18th 2024 12:30 UTC`
`CREATED_AT`	Creation timestamp	`TIMESTAMP`	`2025-01-02T06:25:13.842Z`
`CREATED_BY`	Creator email	`STRING`	`[email protected]`
`LAST_MODIFIED_AT`	Last modified timestamp	`TIMESTAMP`	`2025-01-06T06:25:13.842Z`
`LAST_MODIFIED_BY`	Last modifier email	`STRING`	`[email protected]`
`AUDIENCES`	Audience names	`LIST`	`["data engineering"]`
`MONITOR_TAGS`	Custom tags	`LIST`	`["ADDP", "MC-Pilot"]`
`DATA_QUALITY_DIMENSION`	Dimension category	`STRING`	`Completeness`
`ASSET`	Associated assets	`LIST`	`["raw.monolith_export.warehouse_tables"]`
`ASSET_ID`	UUIDs of assets	`LIST`	`["asset-123"]`
`DOMAINS`	Associated domains	`LIST`	`["Prod Analytics", "Gold Datamart"]`
`MONITOR_URL`	Link to monitor in UI	`STRING`	`https://getmontecarlo.com/monitors/...`

Alerts

Field	Description	Data Type	Example
`ALERT_ID`	UUID of the alert	`STRING`	`646bb94d-28ec-4ab3-8b2e-283a7bd9e509`
`MONITOR_ID`	Associated monitor ID	`STRING`	`6798620c-a44f-432a-b1cd-e68d585852ba`
`DESCRIPTION`	Alert message	`STRING`	`Freshness anomalies in [snowflake] analytics:prod`
`CREATED_AT`	Alert creation time	`TIMESTAMP`	`2024-09-26T12:04:50.264Z`
`STATUS`	Current status (e.g., ACKNOWLEDGED)	`STRING`	`Fixed`
`FIRST_RESPONSE_TIMESTAMP`	Time of first response	`TIMESTAMP`	`2024-09-27T12:04:50.264Z`
`HOURS_TO_FIRST_RESPONSE`	Time to respond (hours)	`NUMBER`	`24`
`RESOLVED_TIMESTAMP`	Resolution time	`TIMESTAMP`	`2024-09-28T12:04:50.264Z`
`HOURS_TO_RESOLVED`	Time to resolve (hours)	`NUMBER`	`48`
`OWNER`	Owner of the alert	`STRING`	`[email protected]`
`PRIORITY`	Priority level	`STRING`	`P3`
`IS_INCIDENT`	Flag for incident status	`BOOLEAN`	`TRUE`
`SEVERITY`	Severity level	`STRING`	`SEV-2`
`AUDIENCES`	Target audiences	`LIST`	`["platform_services", "data-engineering"]`
`RECIPIENT_CHANNELS`	Notification channels	`LIST`	`["wills-slack-channel", "[email protected]"]`
`EXTERNAL_LINKS`	Linked issues (Jira, etc.)	`LIST`	`["https://name.atlassian.net/browse/ST-686"]`
`DOMAINS`	Associated domains	`LIST`	`["analytics"]`
`ALERT_URL`	Link to alert in UI	`STRING`	`https://getmontecarlo.com/alerts/...`

Events

Field	Description	Data Type	Example
`EVENT_ID`	UUID of the event	`STRING`	`e1800f7b-0cc4-4345-93aa-4b64c022a9fe`
`ALERT_ID`	Linked alert ID	`STRING`	`e1800f7b-0cc4-4345-93aa-4b64c022a9fe`
`MONITOR_ID`	Linked monitor ID	`STRING`	`0277dba3-226c-473d-b738-51959a7d097e`
`ASSET_ID`	Associated asset UUID	`STRING`	`asset-123`
`DATABASE_NAME`	Source DB	`STRING`	`raw`
`SCHEMA_NAME`	Source schema	`STRING`	`monolith_export`
`ASSET_NAME`	Table or view name	`STRING`	`warehouse_tables`
`FULL_ASSET_NAME`	Full asset path	`STRING`	`raw.monolith_export.warehouse_tables`
`EVENT_TYPE`	Type of anomaly	`STRING`	`null_rate`
`FIELD`	Affected field	`STRING`	`event_app_url`
`SEGMENTED_BY`	Segment dimension or SQL	`STRING`	`product_type`
`SEGMENT`	Segment value	`STRING`	`loans`
`CREATED_AT`	Event timestamp	`TIMESTAMP`	`2025-01-07T06:25:13.842Z`
`ANOMALY_TIMESTAMP`	Timestamp of anomaly bucket	`TIMESTAMP`	`2025-01-06T03:00:00.000Z`
`LOWER_THRESHOLD_VALUE`	Lower bound	`STRING`	`0`
`UPPER_THRESHOLD_VALUE`	Upper bound	`STRING`	`.0167`
`ACTUAL_VALUE`	Observed value	`STRING`	`.35`
`SCHEMA_CHANGES`	Changes to schema	`LIST`	`["fields_added: ['audiences']"]`
`DOMAINS`	Associated domains	`LIST`	`["equity_domain", "low_carbon_transition"]`
`EVENT_URL`	Link to event (if available)	`STRING`	TBD

Assets

Field	Description	Data Type	Example
`ASSET_ID`	UUID of the asset	`STRING`	`asset-123`
`SOURCE_NAME`	Integration name	`STRING`	`snowflake-staging`
`DATABASE_NAME`	Source DB	`STRING`	`raw`
`SCHEMA_NAME`	Source schema	`STRING`	`monolith_export`
`ASSET_NAME`	Table or view name	`STRING`	`warehouse_tables`
`FULL_ASSET_NAME`	Full asset path	`STRING`	`raw.monolith_export.warehouse_tables`
`ASSET_TYPE`	Object type	`STRING`	`View`
`IMPORTANCE_SCORE`	Asset importance	`NUMBER`	`.99`
`READS`	Count of queries reading the asset from the last 30 days	`NUMBER`	`512`
`WRITES`	Count of queries updating the asset from the last 30 days	`NUMBER`	`31`
`LAST_READ`	Timestamp of most recent query reading the table	`TIMESTAMP`	`2025-08-04 09:34:27.326000+00:00`
`LAST_WRITE`	Timestamp of most recent query updating the table	`TIMESTAMP`	`2025-08-04 09:34:27.326000+00:00`
`READ_USERS`	Count of distinct users executing the queries in `READS`	`NUMBER`	`6`
`WRITE_USERS`	Count of distinct users executing the queries in `WRITES`	`NUMBER`	`4`
`ASSET_TAGS`	Custom tags	`LIST`	`["critical", "finance"]`
`DOMAINS`	Associated domains	`LIST`	`["Gold", "analytics"]`
`ASSET_URL`	Link to asset	`STRING`	TBD