Scalable delivery
Move large company datasets without individual request overhead.
Ways to access
Bulk company data feeds for high-volume workflows
When API-by-API retrieval is not the right shape, Zephira delivers structured company data in bulk for ingestion into your own environment.
DATA LINEAGE
01
Official registryLegal records and filings
02
Structured recordNormalised, digitised and resolved
03
Connected contextPeople, ownership and linkages
Source provenance retained
What it delivers
Built around the legal entity and its evidence.
Defined schemas
Use consistent structures for companies, people, filings and relationships.
Refresh options
Maintain data using agreed update and change-delivery patterns.
Evaluate a feed
Define the data contract before you compare bulk providers.
A useful feed specification states what must arrive, where it may be used and how gaps are represented. Agree these fields before judging record counts or a sample export.
- Coverage
- Target jurisdictions, legal-entity types and the fields needed for the workflow.
- Identity key
- Registry identifiers and matching rules that keep updates attached to the correct legal company.
- Delivery
- Initial file, incremental updates, format, frequency and the process for failed or late delivery.
- Evidence
- Source classification, retrieval context, field dates and an explicit unknown state for missing values.
- Rights
- Permitted storage, internal use, redistribution, retention and any jurisdiction-specific restrictions.
Bulk-feed scoping checklist
Use this browser-only checklist before requesting a representative sample. Selections are not sent or stored.
0 of 5 decisions definedNext: workflow and jurisdictions.
Discuss a representative sampleWhere it fits
Designed for operational workflows, not static reports.
Data warehouses
Machine-learning pipelines
Master data
Market datasets
Common questions
About bulk data feeds
What are bulk data feeds?
Bulk data feeds deliver structured company registry datasets as files or agreed updates for data warehouses, analytics, models and large-scale matching workflows. The exact fields, jurisdictions, refresh pattern and permitted use should be defined for each feed.
Where does the underlying company data come from?
Zephira starts with official company registries and filed documents, then preserves source metadata as records are structured, resolved and enriched.
How can I access bulk data feeds?
Depending on the workflow, Zephira data can be accessed through company search, REST API, bulk data feeds or MCP for AI agents.
Who uses bulk data feeds?
Compliance, risk, data, product and AI teams use bulk data feeds when they need structured company facts with clear provenance.
Where does the data for bulk data feeds come from?
Official company registries and filed company documents are the starting point. Source context is retained so users can trace material facts.
Which countries are supported for bulk data feeds?
Coverage is jurisdiction-specific. Review the registry directory and field-availability pages for the documented source, fields and limitations in each country.
How current is the information used by bulk data feeds?
Freshness depends on the source registry and field. Zephira records retrieval context and documents refresh cadence rather than implying that every field updates continuously.
How does bulk data feeds preserve provenance?
Registry identifiers, source classification and retrieval metadata remain linked to the company record wherever the underlying source provides them.
Can bulk data feeds be accessed through an API?
Yes. Relevant company-data capabilities can be delivered through Zephira’s REST API, bulk feeds, company search or MCP, depending on the workflow.
How should missing fields in bulk data feeds be interpreted?
A missing field means the value was not returned for that record or source. It should not be treated as proof that the fact does not exist.
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