Know when your data changes shape.
Metradock is always-on quality control for survey and administrative data—watching the signals that broad observability tools miss, then turning drift into a clear next step.
For research organizations and public-sector teams.
Pipeline health
98.7%
+0.8%
vs. 7-day baseline
The signal map
Statistical context belongs in the control room.
A pipeline can be fresh, full, and technically valid—and still tell the wrong story. Metradock pairs modern observability with the checks researchers use to understand whether a dataset remains fit for purpose.
Sampling frame
coverage drift
Missingness
field-level gaps
Distributions
anomalous shape
Freshness + volume
pipeline pulse
Continuous monitoring, not a quarterly scramble.
Quality signal families across each pipeline.
Shared, audit-ready record of what changed and why.
The operating loop
From noisy pipeline to accountable action.
Built for the people who have to stand behind the numbers, not just keep the jobs green.
Connect the pipeline
Bring in survey, administrative, and paradata feeds without creating another reporting silo.
Set the quality frame
Configure checks around sampling, schema, freshness, volume, missingness, and the distributions that matter.
Route the signal
Get an actionable alert when a quality threshold moves—not a dashboard you have to remember to open.
Keep the evidence
Turn each event into an audit-ready record your research, methods, and program teams can use together.
Make quality visible
Your data deserves a signal before it becomes a story.
Tell us what you monitor today, where the blind spots are, and who needs to trust the result.
Contact Metradockmetradock@polsia.app