AI Agent for Data Quality Monitoring
AI that checks your data pipelines but can't modify or leak sensitive information.
The problem
Data teams need automated quality checks, but giving an AI full access to pipelines is risky. Traditional monitoring tools either lack intelligence or require broad permissions that could accidentally modify data or leak sensitive information through API calls. Open-ended AI agents might try to 'fix' issues by altering source data or sharing findings externally.
How ConspiracyOS handles it
This agent gets read-only access to specified data directories and APIs. It can validate schemas, track missing values, and flag statistical anomalies, but operates within a strict execution sandbox. Findings are reported through secured channels without raw data exposure.
What this agent can't do
- Modify source data or schemas
- Initiate connections to external services
- Execute system commands or access server logs
- Share raw dataset samples in alerts
- Access credentials or PII outside its designated paths
These aren't trust-based restrictions. The operating system enforces them.
What you get
- Automated validation of schema drift and statistical outliers
- Daily reports on data freshness and completeness
- Alerts for unexpected null values or format violations
- Historical trend analysis without data movement
Get started in 2 minutes
Tell your concierge what you need
conos "conos create-agent --name data-watchdog --scope read:/data-lake --ability validate-schemas,detect-anomalies"
ConspiracyOS sets up the right agent with the right permissions automatically.