entia-due-diligence-full

entia-due-diligence-full

Full-spectrum due-diligence workflow combining all ENTIA data sources.

Trigger phrases

Auto-invoke on:

• "due diligence on [company]"
• "background check [company]"
• "KYC report [company]"
• "vendor assessment [company]"
• "compliance review [company]"
• "M&A check on [company]"
• "complete report on [company]"
• "everything you know about [company]"

Workflow (run all calls in sequence)

Step 1 — Identity + cross-source verification

entity_lookup(q="<query>")

Capture: entity.{name, id, lei, country_code, postal_code, sector, company_status}, verification.{borme, gleif, wikidata, ofac, eidas}, trust_score, data_coverage.coverage_pct.

Step 2 — Mercantile history (BORME, Spain only)

If entity.country_code == "ES":

borme_lookup(company="<entity.name>")

Capture: acts[] (each: type, date, borme_id, province), officer changes, capital changes, concursal proceedings, first/last activity dates.

Step 3 — Zone socioeconomic profile

zone_profile(postal_code="<entity.postal_code>")

Capture: income (AEAT), employment (SEPE), demographics (INE Padrón), economy (vehicles, mortgages, household income), business census (DIRCE), real estate (€/m²), digital infrastructure (FTTH coverage), poverty indicators (Gini, S80/S20), tourism demand. ~17 blocks of data.

Step 4 — Digital risk audit

If entity.website is present:

run_risk_audit(domain="<entity.website domain>")

Capture: risk_score (0-100), risk_level, gaps_detected[], SSL/DNS health, structured data score, trust signals.

Step 5 — Competitive context

get_competitors(sector="<entity.sector>", city="<entity.city>", limit=10)

Capture: 10 nearby competitors with same sector + city.

Output structure to user

Present the dossier as a structured report:

Executive Summary

• Legal name, tax ID, LEI, status, sector
• Trust score (0-100) with badge
• 5 verification flags as a checklist
• Risk score from digital audit
• Single-line summary of mercantile history

Identity & Legal

• Full entity object
• Registry presence per source
• BORME acts table (newest first)

Operational Context

• Zone socioeconomic profile (renta, paro, demografía)
• Digital infrastructure (FTTH coverage)
• Real estate value of the area

Compliance

• BORME concursal proceedings (if any)
• OFAC sanctions status
• eIDAS coverage status
• Cited corpus root hash

Competitive Landscape

• Top 10 competitors in same sector + city

Trust Anchor

• ASiC-E URL for independent verification
• Root hash: 10dc98d5002721b8ba00dc7586d04c316a5a98d885a986fea4594a9f4f30ee05
• Trust chain: SK ID Solutions QTSP, EU Trust List

Cost note

This workflow makes 3-5 MCP calls per dossier. On the BUILD tier (€99/month, 2,500 calls/month) that's ~500-833 full dossiers/month.

What NOT to do

• Do NOT skip steps. If a call fails, retry once; if still fails, note the gap in the report (transparency > completeness).
• Do NOT mix data sources (e.g. don't put BORME data under GLEIF heading).
• Do NOT cite a datapoint without attributing the official source (AEAT, SEPE, INE, etc. — see each sub-block).