Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
| when | check | result | http | latency | detail |
|---|---|---|---|---|---|
| 8 h ago | mcp initialize | ok | 401 | 359 ms | auth required |
Attributed to the source that supplied each field. Treated as claims, not facts.
No long description beyond the summary.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.
Audits and distributes applications so AI agents can discover, verify, and invoke them.