Certvas
African & emerging markets

Data you can cite.

Structured company fundamentals, public-tender and macro records for the markets incumbents skip — where every value carries its source document, license class and observation time.

Start with a free, fully-provenanced sample — validate the citations before you buy.

Built on trusted sources GLEIF SEC EDGAR World Bank Open Contracting OpenCorporates
Why Certvas

Grounding data your product can defend.

Retrieval and agent pipelines are only as trustworthy as the data under them. Every Certvas value is traceable, point-in-time, and license-checked before it ever ships.

Provenance, per value

Every row carries source_ref, observed_at and a license_class traced to a public License Register. Nothing is unattributed.

Point-in-time

Fundamentals are keyed by period_end and period_type (FY / H1 / Qn) — query a company as it reported, not as later restated.

Organizations only

Published tables contain no natural-person data — a structural rule enforced in the model layer and checked in CI, not a promise.

Measured, not claimed

Each product ships a metrics.json of measured coverage and freshness — the same figures you can query live from the API.

Catalog

Three data products, all live.

One schema discipline, one provenance model — across fundamentals, procurement and macro.

AF-FUND

Company fundamentals

Multi-year income-statement, balance-sheet and per-share line items for listed African issuers, extracted from published filings and normalized to actual units and reporting currency.

674 line-item facts
Dictionary, coverage & sample →
AF-TENDER

Public procurement

Open-Contracting (OCDS) tender, award and party records with supplier, buyer and monthly analytics. Natural-person parties excluded from every published table.

4,116 tender-flow rows
Dictionary, coverage & sample →
AF-MACRO

Macro indicators

GDP, inflation, population and more for African & emerging-market countries from World Bank Open Data — the context layer under fundamentals and tenders, every value cited to its series.

2,024 country-year values
Dictionary, coverage & sample →
Built for the AI era

The same gold tables, delivered three ways.

Every surface wraps each response in a provenance envelope your model can quote back to a user.

Files

Parquet + CSV with provenance, dictionary and metrics bundled in a dated, citable release.

REST API

Key-authenticated, rate-limited, OpenAPI-described — every response carries its license notice.

MCP server

Agent-native tools that return values with their source and license, so your model can cite them.

3.2M+
Entities in the resolution spine (GLEIF-anchored)
3
Live data products, one provenance model
0
Natural-person records in published tables
100%
Published values traceable to a source

Start with a free sample.

Every tier — including the free sample — ships with the full schema, provenance annex and measured metrics. Validate the citations end-to-end, then scale to the full history.