Regulatory Compliance Search

Regulatory compliance search — check company names against FDIC, EU Transparency Register, HATVP and CNIL

Regulatory Compliance Search checks a list of company names against four public regulatory registers in one run: FDIC failed banks (FDIC BankFind), the EU Transparency Register, the French HATVP register of interest representatives (lobbying register) and CNIL enforcement decisions. Each name is fuzzy-matched against every selected register, and each match comes back as one row with a match score, the register, the authority, a status, a date, a record link and the attribution text the register's terms require. It is built for compliance, due-diligence, KYB and procurement teams, journalists and researchers who need a quick first screen of counterparties. No API key or account with any register is needed. To try it, press Start: the prefilled name, Silicon Valley Bank, returns its FDIC failed-bank record in seconds.

Results are name matches with a match_score, not identity verification. A high score means the names look alike, not that two records are the same company, so review every match before you act on it.

How to search regulatory registers for company names

1. Enter one or more names in Company names, one per line (up to 1,000).
2. Optionally narrow Register categories: financial (FDIC BankFind), transparency (EU Transparency Register and HATVP) and enforcement (CNIL decisions). All three are searched by default.
3. Optionally set Maximum matches per register (1 to 100, default 5). Matches are returned best match first.
4. Press Start and wait for the run to finish.
5. Open the Output tab to view the matches, then download them as JSON, CSV, Excel, XML or HTML.
6. To automate it, call the actor through the Apify API, or connect it to Make, Zapier, Google Sheets or a webhook with Apify integrations.

Input

Field	Type	Default	Description
names	array of strings	none (required)	Company names: the company or organisation names to search for, one per line. Up to 1,000 names.
categories	array of strings	all three	Register categories: financial (FDIC BankFind), transparency (EU Transparency Register and HATVP) and enforcement (CNIL decisions).
maxResultsPerSource	integer	5	Maximum matches per register: the most matches to return for each company name from each register, best match first. From 1 to 100.

Example input (the prefilled values):

{
  "names": ["Silicon Valley Bank"],
  "categories": ["financial", "transparency", "enforcement"],
  "maxResultsPerSource": 5
}

Output

Each dataset item is one match between a company name and a register record. A name with no match in a register gets no row from that register.

Example row (illustrative; raw is shortened):

{
  "id": "fdic:4105:0",
  "query": "Silicon Valley Bank",
  "matched_name": "SILICON VALLEY BANK",
  "match_score": 1,
  "entity_type": "bank",
  "status": "failed",
  "country": "UNITED STATES",
  "authority": "FDIC",
  "source": "fdic",
  "source_url": "https://api.fdic.gov/banks/failures?filters=CERT:24735",
  "date": "2023-03-10",
  "attribution": "Source: FDIC BankFind Suite API (api.fdic.gov), public domain (U.S. Public Domain label 1.0). Not endorsed by the FDIC.",
  "raw": {
    "CERT": 24735,
    "CITY": "SANTA CLARA",
    "PSTALP": "CA",
    "BIDNAME": "First-Citizens Bank & Trust Company"
  }
}

Field	Type	Description
id	string	Match ID: <register>:<record ID>:<company name position>, unique within a run.
query	string	Company name: the input name that matched, as given.
matched_name	string	Matched name: the name or alias in the register record that best matched.
match_score	number	Match score: from 0 (no likeness) to 1 (the same name once case, accents and punctuation are ignored).
entity_type	string	Entity type: the kind of entity, in the register's own terms.
status	string	Status: failed (FDIC), registered (EU Transparency Register), active or deregistered (HATVP), sanctioned (CNIL).
country	string or null	Country: as the register gives it, in upper-case English or French.
authority	string	Authority: the FDIC, the European Commission, the HATVP or the CNIL.
source	string	Register: fdic, eu-transparency, hatvp or cnil.
source_url	string or null	Record link: the record on the register's own website, when there is one.
date	string or null	Date: the record's key date as YYYY-MM-DD, for example when a bank failed, an interest representative registered or a CNIL decision was made.
attribution	string	Attribution: the data source credit the register's terms or licence require.
raw	object	Raw record: the register record's original fields, for checking a match.

The run also saves a short summary in the Run summary output.

Pricing

This actor uses pay-per-event pricing: you pay for each matched record delivered to your dataset, and nothing for names that match nothing or for the register downloads.

How much does it cost to get 1,000 results?

$5.00 per 1,000 matched records ($0.005 per matched record), lower on paid Apify plans.

• Every matched record (one dataset row) is one charge.
• Maximum matches per register caps how many rows, and so charges, each name can produce.
• The run stops when it reaches your maximum charge per run setting, so you never pay more than you set.
• Apify adds a small fee for each run start.

Limits & accuracy

• Up to 1,000 company names per run and up to 100 matches per name per register.
• Matching is by name only. Similar names can belong to unrelated companies, and a company can appear under a different name.
• The EU Transparency Register has no status field, so every listed record is registered.
• HATVP status is derived from the deregistration date: deregistered when the record has one, otherwise active.
• Data is refreshed once a day: each register is downloaded at most once per UTC day and reused for later runs that day.
• Not covered: FINRA BrokerCheck (its terms forbid scraping) and the ESMA sanctions register (automated reuse is not confirmed in its terms).

Compliance & licences

Every row carries its register's attribution text. Keep that credit when you publish or share the data.

• FDIC BankFind Suite API, failures (API docs): U.S. public domain per the FDIC Data Catalog (U.S. Public Domain label 1.0); the data "may be copied, published, distributed, transmitted, cited, and adapted". The FDIC is credited as the source. This actor is not endorsed by the FDIC, and the FDIC makes no warranty about this data.
• EU Transparency Register: reused under the European Commission's reuse notice, Commission Decision 2011/833/EU.
• HATVP répertoire des représentants d'intérêts: Licence Ouverte 2.0. Each HATVP row's attribution names the date the HATVP file was last updated.
• CNIL enforcement decisions via the SansTrace Observatoire: CC BY 4.0. SansTrace is a third-party compilation of public CNIL and Légifrance decisions and may change format. Each row's original source is in raw.attribution.

FAQ

Is it legal to use this data?

The actor reads only public registers, within each source's terms:

• FDIC: U.S. public domain per the FDIC Data Catalog (U.S. Public Domain label 1.0); the data "may be copied, published, distributed, transmitted, cited, and adapted". The FDIC is credited as the source. This actor is not endorsed by the FDIC, and the FDIC makes no warranty about this data.
• EU Transparency Register: the European Commission's reuse notice, Commission Decision 2011/833/EU.
• HATVP: Licence Ouverte 2.0; each HATVP row's attribution names the date the HATVP file was last updated.
• CNIL via SansTrace: CC BY 4.0; a third-party compilation of public CNIL and Légifrance decisions that may change format; each row's original source is in raw.attribution.

Register records can include personal data, so make sure you have a lawful reason to process the results, such as under the GDPR. If you are unsure, ask a lawyer about your use case.

Is a match proof that a company is the one in the register?

No. A match means the names look alike, scored by match_score. Check the record link and the raw record before relying on it.

Why does a name return no rows?

No record in the selected registers matched it closely enough. Try another spelling or the company's legal name.

Where can I report an issue or request a feature?

Open the Issues tab on this actor's page and describe the input and what you expected.