LEI Company Ownership — GLEIF 🌐

🎉 Turn GLEIF into clean, structured entity + ownership data — no login, no API key, one row per legal entity, with the LEI, legal name, status, jurisdiction, address and parent/child relationships. Built for B2B sales, lead generation, KYB / compliance and market-research teams.

🔍 What is the LEI Company Ownership — and when should you use it?

Give this actor company names or LEI codes and it returns matching legal entities from the Global Legal Entity Identifier Foundation (GLEIF) registry — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run queries the source live, so the data is as fresh as the registry itself.

Use it when you need: a LEI entity company list for outreach; formation / status monitoring; or a canonical registry record for KYB and due diligence.

Use something else when: you need commercial firmographics like revenue or headcount — GLEIF is legal-entity identity and ownership, not financials.

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/lei-company-ownership.

Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want to pull LEI entity company records using the Apify Actor `foxlabs/lei-company-ownership`.
Input: `queries` is a list of company names or LEI codes. `maxResultsPerQuery` caps rows per query.
Start with: {"queries":["undefined"],"maxResultsPerQuery":50}
Ask me what to look up, run the Actor, then summarise the rows as a table.

The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/lei-company-ownership.md.

📋 Overview

Everything you need to turn the Global Legal Entity Identifier Foundation (GLEIF) registry into clean, structured data — in one actor, with no login, cookies or API key.

Why teams pick this actor:

• ✅ Whole registry, one call — name or ID in, matching companies out.
• 🧹 No empty-promise columns — only fields this registry actually fills; degenerate columns are removed.
• 🔗 Stable identifiers — every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
• 💰 Pay only for results — per-row pricing, empty/failed lookups never billed.
• 🤖 Agent-ready — MCP + x402 agentic payments.

✨ Features

• 🔍 Name or ID lookup — relevance-ranked name search or exact registry-ID lookup.
• 🏢 Full entity profile — status, legal form, formation date, address and the registry’s own contact fields.
• 🧹 Clean schema — deduplicated camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~lei-company-ownership/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["undefined"],"maxResultsPerQuery":50}'

🚀 Getting Started (3 steps)

1. Choose your targets — company names or LEI codes.
2. Set the cap — maxResultsPerQuery limits rows per query.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"queries":["undefined"],"maxResultsPerQuery":50}

Field	Type	Description
queries	array	Company names or LEI codes.
maxResultsPerQuery	integer	Caps rows per query.
maxConcurrency	integer	How many queries to fetch at once.
includeRaw	boolean	Attach the source’s untouched record under raw.

📤 Output

One row per company, saved to the dataset. Every row also carries query, scrapedAt, and — when a lookup fails — an error explaining why (never silently dropped, never billed).

Field	Description
lei	Lei
legalName	Legal Name
otherNames	Other Names
legalForm	Legal form / entity type
category	Category
entityStatus	Entity Status
registrationStatus	Registration Status
jurisdiction	Jurisdiction of formation
registeredAs	Registered As
legalAddress	Legal Address
headquartersAddress	Headquarters Address
creationDate	Creation Date
lastUpdated	Last Updated
crossReferences	Cross References
source	Source
license	License
sourceUrl	Public registry URL for the record
ownership	Ownership

💼 Use cases

1. Entity resolution — resolve a company name to its LEI. Input: names or LEI codes. Output: LEIs + legal names. Use: deduplicate a counterparty list.

2. Ownership mapping — map parent/child legal entities. Input: company names or LEIs. Output: parent/child relationships. Use: build a corporate-group graph.

3. KYB / regulatory — verify a legal entity by LEI. Input: the LEI or name. Output: the canonical GLEIF record. Use: confirm identity and jurisdiction.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/lei-company-ownership').call({"queries":["undefined"],"maxResultsPerQuery":50});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/lei-company-ownership').call(run_input={"queries":["undefined"],"maxResultsPerQuery":50})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Automation (n8n / Zapier / Make): schedule or webhook → HTTP request to the actor API with your queries → handle the JSON dataset → push to a sheet, CRM or dashboard.

📊 Pricing

Pay-per-event: per delivered record. Empty or failed lookups are never billed. View current pricing.

❓ FAQ

Do I need an account, login or API key? No. This reads the Global Legal Entity Identifier Foundation (GLEIF) registry.

What do I search by? Company names or LEI codes.

How current is the data? Every run queries the source live, so results are as fresh as the registry.

What ownership data is included? Direct and ultimate parent relationships (where reported to GLEIF), plus the LEI, legal name, jurisdiction and registration status.

Can I export to CSV / Excel / JSON? Yes — directly from the Apify dataset.

🐛 Troubleshooting

• Fewer rows than expected — raise maxResultsPerQuery, or refine the name.
• A name returns an unexpected entity — it matched a similar registered name; search the exact registry ID.
• No rows for a name — try the entity’s exact legal name or its registry ID.

⚖️ Is it legal to scrape this data?

This actor reads a public government business registry published as open data. Results can still contain personal data (e.g. a registered agent’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor’s Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.3 — 2026-09-07

• Enabled AI-agent payments (x402) + rebuilt the README to the full standard (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).

0.0

• Initial release: data from the Global Legal Entity Identifier Foundation (GLEIF) registry by name or registry ID.