Product
17-agent orchestration, 40+ API endpoints, multi-tenant architecture.
A 14-phase autonomous pipeline
Each phase produces a snapshot; the next phase reads it. A single phase failure never stops the pipeline.
Phase 1
Schema Discovery
SchemaDiscoveryAgent
Catalogs all tables, FKs and finance-table patterns from INFORMATION_SCHEMA + sys.foreign_keys.
- Typical duration
- ~5sn
- Minimum tier
- professional
17 autonomous agents
17-agent orchestration, 40+ API endpoints, multi-tenant architecture.
SchemaDiscoveryAgent
Discovers the schema
→ Tables + FKs + info schema snapshot
ProfilingAgent
Generates 20+ metrics per table
→ Profiles snapshot
AnomalyDetectionAgent
Detects 22 anomaly types
→ Anomalies snapshot
RCAAgent
Four-evidence root cause for critical anomalies
→ RCA hypotheses
CrossTableAgent
MinHash/LSH schema similarity + PII duplicates
→ Cross-table report
ForecastAgent
7-day SLA breach forecast
→ Forecast snapshot
CDCAgent
Tracks change volumes via SQL Server CDC
→ CDC events snapshot
ContractAgent
Data contract drift (8 violation types)
→ Contract violations snapshot
OrchestratorAgent
Manages 14-phase pipeline + approval flow
→ Session JSON + audit log
LineageAgent
FK + procedure dependency graph
→ Lineage snapshot + Mermaid
GovernanceAgent
Ownership, classification, business glossary
→ Governance snapshot
MaskingAgent
DDM scripts + k-anonymity + KVKK retention
→ Masking + retention DDL
SLAManagerAgent
SLA breach tracking + escalation
→ SLA scorecard HTML
ComplianceAgent
BDDK + KVKK + BCBS 239 + IFRS 9 + SOX reports
→ Compliance PDF/HTML
ReconciliationAgent
GL ↔ subledger SUM reconciliation
→ Reconciliation report
ImpactScorerAgent
TRY impact estimation per anomaly
→ Impact scorecard HTML
RemediationAgent
Approval-gated fix scripts + rollback
→ Fix scripts
Dashboard included. Zero build pipeline.
A single HTML file, no Node toolchain. 13 tabs: KPIs, anomalies, lineage, compliance, heatmap, approvals, AI copilot.
- 6 KPI widgets
- 13-tab analytics
- ISO 8000 heatmap
- WebSocket live alerts
- PDF / HTML / Excel export
- Natural-language DQ queries
ISO 8000 Heatmap
Completeness
96%
Accuracy
92%
Validity
89%
Consistency
94%
Timeliness
87%
Uniqueness
98%
Integrations
Native support for your surrounding systems; no extra middleware layer.
SQL Server
Primary target. All 2014+ editions. CDC requires Standard or higher.
PostgreSQL
Experimental. Full profiling + anomaly; CDC limited.
MySQL
Experimental. INFORMATION_SCHEMA-based discovery.
Ollama
Local LLM. qwen2.5:7b chat + qwen2.5-coder:14b SQL + nomic-embed-text.
Slack / Teams
Webhook alerting with 24h deduplication to suppress noise.
SMTP
TLS, multipart HTML report attachments.
30-minute live demo against your own schema
Not a slideshow — a live install. We profile your SQL Server connection in minutes.