N Nordic Data

Use cases

Pre-built prompts you can drop into Base44, Cursor, Claude, or any AI builder. Each one is fitted to a specific job and pulls only the Nordic Data endpoints it actually needs. Fill the bracketed parts to match your situation.

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Sales CRM

Builder: Base44 · Cursor · Claude · v0Endpoints used: lookup · search · contacts · officers · similar

Use case

Inbound + outbound sales tracking, 200-500 active deals, pipeline-driven team. Every new prospect auto-enriched with company facts and verified contacts.

Prompt

Build me a sales CRM for [INDUSTRY / NICHE — e.g. "B2B SaaS in the Nordics"]. What I'll do day-to-day: track 200-500 active deals through a 6-stage pipeline. Every new prospect should auto-enrich with company data + decision-makers. Core objects: Companies, Contacts, Deals, Activities, Tasks. Pipeline: Lead → Qualified → Demo → Proposal → Negotiation → Won/Lost. Nordic Data integration (env var NORDIC_DATA_KEY): - On new company: GET /v2/companies/search?q={name}&country={cc} - Auto-fill: legal name, address, industry, employee count, website - For contacts: GET /v2/companies/{id}/contacts (verified emails + phones, tiered confidence) - For decision-makers: GET /v2/companies/{id}/global-officers - For lookalike prospecting: GET /v2/companies/{id}/similar Visual style: Linear / Pipedrive / Notion business. Clean tables, single muted accent (deep navy or charcoal), no purple/cyan gradients, no AI sparkles, no "Ask AI" sidebar, no marketing-style hero copy.

KYB / vendor onboarding

Builder: Base44 · Cursor · n8nEndpoints: kyb-pack · sanctions · provenance · global-officers

Use case

Every new vendor / customer / counterparty is run through KYB before contract signing. Audit-trail required (SOC 2, ISO 27001, regulated industries).

Prompt

Build me a KYB onboarding tool for [INDUSTRY — e.g. "fintech compliance team", "professional services firm signing new vendors", "bank's correspondent network"]. What I'll do day-to-day: every new vendor / customer record goes through KYB before approval. I need a complete audit trail of every fact I used in the decision. Core objects: Counterparties, Onboarding Requests, KYB Reports, Sanctions Hits, Officer Disclosures, Audit Log. Workflow: Submitted → Auto-screening → Manual Review → Approved/Rejected. Nordic Data integration (env var NORDIC_DATA_KEY): - On new submission: GET /companies/{id}/kyb-pack (identity + officers + sanctions + signals in one call) - Cross-jurisdiction officer match: GET /v2/companies/{id}/global-officers - Bulk sanctions screen: POST /sanctions/screen-bulk (every officer + the company itself) - Per-fact provenance: GET /v2/companies/{id}/provenance (store source + confidence + fetched_at for every field) - Re-run KYB nightly for active counterparties; flag changes Visual style: Linear / Salesforce Lightning. Dense tables, status pills (active / under-review / flagged / rejected) in solid muted colors. Risk score visualized as a small bar, never as a gauge dial. No AI elements.

Recruiting CRM

Builder: Base44 · CursorEndpoints: search · officers · contacts · similar

Use case

Executive search firm or in-house talent team. Map decision-makers + competitors across target companies; track candidate searches.

Prompt

Build me a recruiting CRM for [TYPE — e.g. "executive search firm", "in-house talent team at a SaaS company"]. What I'll do day-to-day: manage 50-100 active candidate searches. For every target company, see all the executives and similar companies (for sourcing laterals). Core objects: Searches, Companies, Candidates, Activities, Interview Stages. Pipeline: Briefed → Sourcing → Long-list → Short-list → Interviewing → Offer → Placed/Closed. Nordic Data integration (env var NORDIC_DATA_KEY): - Search target companies: GET /v2/companies/search?q=&country= - Get officers/executives: GET /v2/companies/{id}/global-officers - Get verified contacts: GET /v2/companies/{id}/contacts (filter by confidence >= 0.7) - Find similar companies for sourcing laterals: GET /v2/companies/{id}/similar - Auto-flag if a candidate has a sanctions hit before offer Visual style: Notion business / Greenhouse. Clean candidate cards, no chatbot UI, no AI gradient backgrounds. Single accent color (burgundy or forest green).

Sanctions monitoring

Builder: n8n · Zapier · Make · customEndpoints: sanctions/screen-bulk · webhooks

Use case

Continuous monitoring — your customer/vendor list is re-screened daily against the 1.6M sanctions list. Hits trigger an alert.

Prompt

Build me a sanctions-monitoring workflow for [INDUSTRY — e.g. "regulated financial services", "international trade", "exporter compliance team"]. What I'll do day-to-day: maintain a watchlist of 1,000-50,000 entities (our customers, vendors, beneficial owners). Daily auto-screen against the 1.6M-entity Nordic Data sanctions list. Email alert on new hits. Core objects: Watchlist Entries, Screening Runs, Hits, Investigations, Resolutions. Workflow: Auto-screen daily → Hit → Triage → Resolved (false positive) or Escalated (true positive) → Logged in compliance archive. Nordic Data integration (env var NORDIC_DATA_KEY): - Daily: POST /sanctions/screen-bulk with up to 100 names per batch - Subscribe to webhook: sanctions.added (notify when a watched name newly hits) - For each hit: GET /v2/companies/{id}/provenance (proves source + freshness for audit) - Archive all hits with full provenance for regulator-facing reports Visual style: Compliance-dashboard aesthetic. Linear / Sumsub. Tables, not cards. Red badges only for confirmed hits, never for the screening process itself. No AI elements anywhere.

Procurement intelligence

Builder: Base44 · CursorEndpoints: tenders · contract-wins · officers

Use case

Win more public-sector contracts. Track tender publications + see which competitors are winning what.

Prompt

Build me a procurement-intelligence CRM for [INDUSTRY — e.g. "IT services company bidding on Norwegian municipal tenders", "construction firm chasing EU infrastructure projects"]. What I'll do day-to-day: monitor new tenders matching our capabilities, track competitors' win rates, predict who'll win an open tender. Core objects: Tenders, Bids, Competitors, Wins, Industries (CPV codes). Workflow: New tender → Qualified → Bidding → Submitted → Awarded → Won/Lost. Nordic Data integration (env var NORDIC_DATA_KEY): - Live tender feed: subscribe to webhook tender.published (filter by CPV + country) - Competitor analysis: GET /companies/{orgnr}/contract-wins for each competitor - Predict winner: GET /tenders/{id}/predict-winner (returns top-3 likely bidders) - Cross-reference: are any competitors sanctioned / under investigation? Visual style: Stripe Dashboard / Linear. Data-dense tables, CPV codes shown as tags, contract values in EUR/NOK with proper thousand separators. No AI chatbot, no "AI insights" widgets.

Account-based marketing

Builder: Base44 · n8n · CursorEndpoints: similar · contacts · officers · domains

Use case

You have 50 named accounts. Each one needs the full decision-making committee mapped + multi-channel orchestration.

Prompt

Build me an ABM (account-based marketing) tool for [TARGET — e.g. "selling cybersecurity software to Nordic banks", "enterprise SaaS into DACH manufacturers"]. What I'll do day-to-day: I have 50-100 named target accounts. For each one I need the complete buying committee mapped + a multi-channel cadence (email + LinkedIn + ads). Core objects: Target Accounts, Buying Committee Members, Cadences, Touchpoints, Engagement Events. Workflow: Researching → Engaging → Meeting Set → Opportunity → Won/Lost. Nordic Data integration (env var NORDIC_DATA_KEY): - For each account: GET /v2/companies/{id}/global-officers (the committee) - Verified contacts: GET /v2/companies/{id}/contacts - Related companies (sister entities, subsidiaries): GET /v2/companies/{id}/related-by-domain - Lookalike accounts for tier-2 expansion: GET /v2/companies/{id}/similar Visual style: Notion / Salesforce Lightning. Account-card view with the committee org-chart inline. No AI gradient cards. Solid muted accent.
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