Sample Data · Free Download
Public Sample · No Registration Required

Sample the Feed

A 1,000-row, point-in-time, entity-resolved slice of Valan's global government-procurement dataset — every award linked to the awarded company's tradable security, with zero forward-bias ticker attribution. CSV, Parquet, and a reference Python loader. Download and run in under a minute.

Feed snapshot 2026-05-30 · Schema: valan.io/data-dictionary

Downloads

valan_sample_1k_fin_awards.parquet
Parquet · 43 KB · 1,000 awards
valan_sample_1k_fin_awards.csv
CSV · 223 KB · identical content
valan_sample_loader.py
Python reference loader · pandas + pyarrow
README.md
Usage rules · PIT discipline · compliance notes
python valan_sample_loader.py valan_sample_1k_fin_awards.parquet
Scope — read first
Point-in-time / forward-bias — read before backtesting
Compliance — verified at export

What the full feed adds

The sample is one table. The full feed is six: fin_awards (71.9M financial-modelled awards), master_awards (71.9M text-rich awards with titles, descriptions, and source URLs), fin_tenders / master_tenders (25M open solicitations — the forward pipeline), entity_dim (312,156 resolved companies, LEI-bridged), and subcontract_graph (3.3M sub→prime edges). Daily refresh, manifest with SHA256 checksums per table, delivery as S3 parquet. Full schema: valan.io/data-dictionary.

For full-feed access or institutional enquiries: john@valan.io