One truth from many sources
Entity graph, multi-source triangulation, priority-based resolution
B2B data comes from everywhere: exhibitor portals, company websites, directories, search engines, DNS records, social platforms. LeadsLogix aggregates all sources into a unified entity graph, resolves conflicts by source priority, and triangulates facts across independent signals.
The Multi-Source Data Problem
Entity Graph with Source Attribution
Every data point is stored with its source, timestamp, and priority. Conflicts are resolved algorithmically, not manually.
Entity Graph
SQLite entity graph stores relationships between companies, contacts, domains, and social profiles. Every node has source attribution.
Priority-Based Resolution
Event exhibitor (100) > directory (90) > registry (80) > search (70) > web graph (60). Higher-priority sources win on conflicts.
Multi-Source Triangulation
Facts confirmed by 2+ independent sources get higher confidence. Single-source facts are flagged for verification.
Fuzzy Dedup
Entity resolution across sources: fuzzy name matching, domain normalization, parent/subsidiary detection, and contact dedup.
Anti-Poisoning
Knowledge store with anti-poisoning measures prevents bad data from contaminating cross-run learning.
Full Audit Trail
Every merge decision is logged: which sources contributed, which won on conflicts, and why. Complete traceability.
Aggregation Pipeline
Each stage processes data sequentially with full checkpoint/resume capability.
Source Ingestion
Import data from all pipeline stages: exhibitor extraction, website crawling, directory scraping, search discovery, email discovery.
Entity Identification
Match incoming records to existing entities by domain, email, and fuzzy name similarity.
Conflict Detection
Identify fields where multiple sources provide different values (e.g., two different phone numbers).
Priority Resolution
Resolve conflicts by source priority. Event exhibitor data (100) overrides search-derived data (70).
Triangulation
Score confidence based on multi-source agreement. Facts confirmed by 3 sources score higher than single-source.
Dedup & Merge
Fuzzy dedup using domain + email identity keys. Merge duplicate records preserving highest-quality data.
Knowledge Store
Feed validated data into cross-run knowledge store for future enrichment runs. Anti-poisoning filters active.
Technical Workflow
# The merge engine aggregates all sources python tools/merge_engine.py # Output: database/Final_Merged_Output.xlsx (5-sheet) # Output: database/CRM_Export_YYYY-MM-DD.csv # Identity keys: Official_Domain + Email # Priority constants (tools/base/domain.py): # event_exhibitor = 100 # directory = 90 # registry = 80 # search = 70 # web_graph = 60 # sitemap = 60 # Entity graph stored in: database/intelligence_graph.db # Knowledge store: database/intelligence.db
API Access
/api/v1/aggregateSubmit multiple data sources for aggregation and conflict resolution.
/api/v1/entity/{domain}/sourcesView all sources that contributed data to a company entity.
/api/v1/entity/{domain}/conflictsView resolved conflicts and which source won for each field.
/api/v1/mergeTrigger merge engine on aggregated data. Returns merged output path.
Use Cases
Multi-Event Lead Merge
Merge exhibitor data from multiple trade shows into one deduplicated database.
CRM Data Reconciliation
Reconcile CRM records with fresh enrichment data, preserving the highest-quality values.
Vendor Data Comparison
Aggregate data from multiple vendors and compare quality by source attribution.
Historical Data Enrichment
Layer new enrichment data on top of historical records with conflict-aware merging.
Multi-Department Consolidation
Merge prospect lists from marketing, sales, and partnerships into one source of truth.
Cross-Run Learning
Each enrichment run feeds the knowledge store, improving future runs on overlapping companies.
Industry Applications
Manufacturing
Multi-event exhibitor data requiring cross-show dedup and merge.
Professional Services
Client data from multiple research sources needing reconciliation.
Technology
Prospect data from directories, events, and web scraping.
Financial Services
Regulatory data from multiple registries requiring triangulation.
Performance Metrics
Platform Preview
See how LeadsLogix processes, verifies, and delivers your leads in real time.
Entity Graph View
Visual relationships between companies, contacts, domains, and social profiles.
Conflict Resolution Log
Audit trail of source conflicts and resolution decisions.
Source Coverage Map
Which sources contributed data for which companies.
Integrations
Frequently Asked Questions
Everything you need to know about our platform.
Still have questions?
Our team can walk you through the pipeline, pricing, and your use case.