Audit-grade public data feeds.
Structured. Provenanced. Integration-ready.
DModify converts difficult public-source records into schema-versioned JSON and CSV datasets with source provenance, quality states and repeatable delivery metadata—built as a scalable data platform for many public-source domains.
Samples are public and require no account.
Available datasets: corporate intelligence & government procurement
Our SEC feeds are distinct products with different record structures and buyer workflows.
Fundamental Company Financials
Normalized SEC financial metrics with filing provenance, QA metadata and versioned delivery.
Inspect dataset →PRODUCTIONExecutive & Director Transactions
Transaction-level Form 4 intelligence covering shares, price, ownership changes and SEC provenance.
Inspect dataset →PRODUCTIONUK Company Intelligence
Companies House company profiles, accounts intelligence and PSC/control data in three linked components.
Inspect dataset →PRODUCTIONEU TED Procurement Notices
Structured European procurement notices with buyer, CPV, procedure, deadline, value and award information.
Inspect dataset →PRODUCTIONSAM.gov Contract Opportunities
Normalized U.S. federal solicitations with agency, NAICS/PSC, set-aside, deadline and place-of-performance fields.
Inspect dataset →PRODUCTIONU.S. Federal Contract Awards
Validated USAspending.gov award-level records with recipient, agency, value, classification, dates and provenance.
Inspect dataset →PRODUCTIONU.S. Federal Contract Transactions
Validated USAspending.gov action-level modifications, obligations and dates linked to federal contract awards.
Inspect dataset →Public data quality, provenance & schema controls
Source provenance
SEC accession numbers, source URLs and filing metadata maintain a verifiable bridge back to authoritative records.
Schema discipline
Versioned structures, explicit nulls and dataset contracts reduce integration ambiguity.
Delivery integrity
Production packages can include record counts, output metadata and SHA-256 checksums in batch manifests.
One delivery standard. Many future datasets.
New sources can be added as independent products while retaining consistent provenance, schema versioning, validation states and delivery metadata.