Ingest
source_id + ingest_run_id + raw_snapshot_ref
Bright Data integration
Technical landing
This page is built for engineering and licensing evaluation. It maps ingest, normalization, matching, pitch flow, outcomes, and verification into one reproducible chain.
System chain
Ingest
source_id + ingest_run_id + raw_snapshot_ref
Bright Data integration
Normalize
taxonomy_version + confidence thresholds
canonical requirement model
Match
scoring_version + reason_codes + hard_violations
Neo4j explainability
Pitch
packet_ref + signed links
trace-linked outreach state
Outcome
event-based progression
callback/placement verification
Verify
evidence replay endpoints
append-only EventLog continuity
Explainability
Worked example
score_total: 0.87
scoring_version: v1.1.0
taxonomy_version: 1.0.0
reason_codes: [GENRE_MATCH, MOOD_MATCH, TEMPO_RANGE_MATCH]
hard_violations: []
disqualifier examples: FORBIDS_THEME_HIT, MISSING_REQUIRED_DELIVERABLE
Evidence endpoints
Reliability targets
Values below are target commitments, not claimed measured outcomes.
Target
API availability >= 99.5%
Target
Evidence endpoint availability >= 99.7%
Target
Public app uptime (app.royflow.ai) >= 99.7%
Target
Ingestion freshness median <= 24h
Target
Parse success >= 95%
Target
Ingest run completion >= 98%
Target
Match compute p95 <= 1500ms
Target
Event emission reliability >= 99.9%
Quarantine rate <= 15%
Explainability completeness = 100%
Hard-filter false-allow rate = 0%
Dedup false-merge rate < 1%
EventLog immutability violations = 0
Provenance completeness = 100%
Operations and governance
Platform posture
Security and data posture
Technical CTA