KETL Research — AI-enriched company profiles
KETL's proprietary AI-research dataset. An external research agent runs deep web research per org number and delivers structured markdown with 9 mandatory sections (summary, business model, management, market, financial health, risk/compliance, ESG, strategic questions, sources). Every claim is cited with [N] tokens pointing to public or verifiable sources. The frontmatter contains confidence, riskLevel, ESG exposure and KYB flags (PEP, sanctions) for machine processing. The backfill prioritises the top 100,000 active limited companies first (based on revenue, employees, capital); the rest are generated on demand. Versioned + audit-logged.
100K rows
Data volume
Quarterly
Updates
7
MCP tools
{
"data": "..."
}MCP integration
API endpoints
/{orgnr}Hent gjeldende AI-research for orgnr
Show curl example
# GET https://data.ketl.no/api/connectors/ketl-research/{orgnr}
curl \
-H "Accept: application/json" \
"https://data.ketl.no/api/connectors/ketl-research/{orgnr}"Authenticated call — add one of these headers: x-api-key: ketl_… · Authorization: Bearer … — See the full reference in the documentation.
/healthHelsesjekk
- deep optional
- Sett `deep=1` for å få med det fulle probe-objektet (`deepProbe`). Enhver annen verdi gir samme svar som uten parameteren — verdimengden er IKKE lukket, så ruta avviser ingenting (MÅLT 2026-08-30).
deep=1
Show curl example
# GET https://data.ketl.no/api/connectors/ketl-research/health
curl \
-H "Accept: application/json" \
"https://data.ketl.no/api/connectors/ketl-research/health"Authenticated call — add one of these headers: x-api-key: ketl_… · Authorization: Bearer … — See the full reference in the documentation.