Methodology

How we build trusted entity data from opaque sources

A structured, auditable process from official source to integration-ready output — designed for institutional data consumers who require transparency and traceability.

Data Acquisition – Official & Alternative Sources

The foundational dataset is sourced from official government corporate registries — Additional data layers are sourced from alternative sources through our AI agents, network of partners, and own researchers.

Each jurisdiction undergoes a formal registry mapping process before data ingestion begins.

Trusted Source Validation

Supplementary data from vetted, trusted secondary sources — gazette publications, regulatory filings, and authorized data intermediaries — to enrich and cross-validate registry records.

Sources are scored and tiered based on reliability, recency, and jurisdictional authority.

Reconciliation Logic

Multi-source records are reconciled through a layered matching framework that resolves entity identity across inconsistent naming conventions, transliterations, and jurisdictional formats.

Our reconciliation methodology is designed to balance precision and recall across varied data quality environments.

Deduplication Framework

A systematic deduplication process identifies and merges duplicate entity records, creating canonical master profiles with full provenance chains back to each contributing source.

Deduplication operates both within individual jurisdictions and across multi-jurisdictional corporate structures.

Quality Controls

Automated and manual quality checks validate data completeness, internal consistency, and temporal coherence across the entire entity dataset.

Field-level completeness and accuracy metrics are tracked and reported per jurisdiction.

Update Frequency

Clients select update frequency based on their operational requirements — from continuous event-driven updates to scheduled weekly snapshots.

All update cycles are SLA-bound with contractual freshness guarantees.

Update Frequency Options

SLA-aligned delivery schedules

Event-Driven

Real-time change propagation as registry updates are detected

Hourly

Sub-hour latency for high-priority jurisdictions

Daily

End-of-day snapshots for standard monitoring workflows

Weekly

Consolidated weekly updates for batch processing

Frequently Asked

Methodology questions we get from data teams

Where does Linxet’s entity data come from?

Official government corporate registries form the foundational dataset for each of the 50+ jurisdictions we cover across Sub-Saharan Africa, North Africa, the Middle East, and offshore centers. Additional layers come from vetted secondary sources — gazette publications, regulatory filings, and authorized data intermediaries — used to enrich and cross-validate registry records.

How often is the data updated?

Update frequency is SLA-bound and selectable by clients — from continuous, event-driven propagation (as fast as a 2-minute API update cycle) down to scheduled daily or weekly snapshots, depending on operational requirements.

How does Linxet reconcile records across sources and jurisdictions?

A layered matching framework resolves entity identity across inconsistent naming conventions, transliterations, and jurisdictional formats. A separate deduplication framework then merges duplicate records into canonical master profiles, each retaining a full provenance chain back to every contributing source.

Is the data audit-ready?

Yes. Every master entity profile carries a confidence score, a last-verified timestamp, and full provenance metadata back to its contributing sources — built for institutional clients who need to demonstrate data lineage, not just consume an output.

Which jurisdictions does Linxet cover?

50+ jurisdictions: 25+ in Sub-Saharan Africa, 5 in North Africa, 8 in the Middle East, and 4 offshore jurisdictions — markets where competitors like Refinitiv, Dun & Bradstreet, and Bureau van Dijk typically have coverage gaps.

How is data delivered?

Via REST API, bulk feeds (SFTP/S3), or custom schema mapping to fit an existing pipeline. A web app interface is coming soon.

Questions about our methodology?

We welcome technical discussions about our approach to sourcing, reconciliation, and quality assurance.

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