Choose a failure, let the RL safety controller observe DataHub-grounded context, then follow every decision through recovery or replay.
Replaces guessed table names with stable DataHub URNs.
search(query="domain:oncology AND LUAD progression")27 governed assets · 4 owners · 3 platforms
urn:li:dataset:(gdc,TCGA_LUAD_progression,PROD)Launch the investigation to produce a DataHub-grounded reliability finding.
Awaiting DataHub search…The Governance Steward cannot mutate DataHub or recover a blocked mission without human approval.
Single-use approval · verified replay never writesOne surface fuses current cancer evidence, distributed memory, agent disagreement and counterfactual actions into an auditable decision.
Can this evidence safely enter the research model?
Select a mission to recall related agent memory.
Run the mission to compare ACT, MONITOR, BLOCK, REPAIR and ESCALATE.
Awaiting Q-policy + evidence receipt…The graph is reconstructed from persistent mutation evidence—not invented by the renderer. Five agents hand evidence forward, challenge uncertainty and stop at a human gate.
Agents will run in sequence over the CockroachDB graph.
——Run the council to generate non-clinical clone trajectories.
Loading immutable observation frames…
Generate competing paths to see how remembered evidence changes the future.
Every base-pair rupture is linked to a mutation event, a recalled CockroachDB observation and a competing agent path. Generate the next synthetic observation, preserve it, then watch the helix reorganize.
Choose a path and generate the next observation.
—Loading mutation events…
Rehydrating prior frames, paths and forecast divergence…
Retrieve a synthetic patient timeline, persist agent checkpoints and search clinical memories by meaning—not exact keywords.
Loading agent checkpoint, handoff and approval evidence…
Run a semantic search to reveal ranked agent memories.
Synchronize the live graph, inject a research incident, observe its verified blast radius, then preview the governed counterfactual recovery without writing data.
Awaiting live graph synchronization…The 3D topology starts locally; synchronization attaches fresh MCP evidence.
Repair preview: COALESCE feature patch
Select a scenario, synchronize DataHub and inject the incident.
A failed completeness contract propagates into the deployed progression model and two downstream consumers.
Dataset steward → feature owner → model owner → application operator.
Freshness, null rate, row count, schema compatibility and expression range.
Each 3D world maps to its own cataloged BigQuery data product. Capture identity, schema, contract, ownership, query and bidirectional-lineage proof from the self-hosted DataHub MCP server.
No cached screenshots. Every proof is generated on demand.
Awaiting canonical DataHub URN…
MCP search, schema and bidirectional lineage calls will appear here with their measured latency.
A read-only operations agent inspects the live cluster, follows Cockroach Labs' health-review skill, verifies Cloud inventory through ccloud and persists a tamper-evident receipt.
No MCP mutation calls. Single-cluster scope. Results are bounded by CockroachDB Cloud MCP limits. Errors are preserved instead of hidden.
Five MCP reads, one authenticated ccloud inventory check and one official skill fingerprint will appear here.
—Prior proof runs will rehydrate from CockroachDB.
The Repair Engineer reads schema, lineage, owners and quality rules before producing a mergeable artifact.
✓Schema groundedFields verified through DataHub MCP
✓Lineage-awareProtects downstream model and API
✓Owner assignedThoracic ML
✓Quality thresholdMatches cataloged completeness rule
!Human approvalRequired before PR/writeback