Can I filter by activity?

Results include the NAF code, so you can filter on your side after the search.

How do I get the full profile?

Send the registration_number to INPI company.

Do I pay for lookups that come back empty?

No. You are charged per result, so a request that finds nothing costs nothing. Testing this against a messy list is free to get wrong.

What does a lookup cost?

1 point per returned record, which is $1 per 1,000, and only records that come back are charged. Points come out of your monthly plan allowance, so there is no separate per-country contract.

Corporate registry

France Company Search (RNE / INPI) API and MCP — Find Companies by Name

Send a name and get back matching French companies: SIREN, name, status, address, activity with its NAF code, the officers as listed and a link to the record. Set max_items to control how many come back.

Run it in the app Read the API docs

You send: a company name
You get back: matching French companies with SIREN, status, address, activity, NAF code and officers
Coverage: France — entities on RNE / INPI.
Price: 1 point per returned record — $1 per 1,000; Billed per record actually returned, capped by max_items. A request that returns nothing costs nothing.

Comparison

Ways to get this data

Three approaches teams use today, and where each one runs into trouble.

Approach	What it takes	Cost	Trade-off
RNE / INPI directly	Type the name into RNE / INPI and read the results	Usually free, sometimes per-document	A different interface, language and data shape for every country you add
Collecting it yourself	Build and host a crawler per register, then keep each one alive	Infrastructure and maintenance	Registers change their pages without warning, and nobody is on the hook when yours breaks
NeuralVerge	One request, the same shape as every other source in the catalog	$1 per 1,000, misses not billed	Covers France — other countries are separate sources with the same request format

Response

What you get back

Every field in the example response below.

Field	Type	Description
`session_id`	string	Id of this run, for tracing.
`kind`	string	Source type of the response.
`keyword`	string	The search text you sent.
`max_items`	number	The cap you set on returned records.
`start_page`	number	Results page the search started from.
`partial`	boolean	Whether the result set is incomplete.
`human`	string	Readable summary with the number of results and matches found.
`total_points`	number	Points charged: one per returned record.
`machine.total_items`	number	Records returned in this batch.
`machine.first_item`	object	The first returned record, same shape as one entry of items.
`machine.items[]`	array	The returned records.
`machine.total_found`	number	Matches the register reports for the search; null when it does not report one.
`machine.page_count`	number	Result pages read.
`machine.blocked`	boolean	Whether the register refused the request.
`machine.proxy_traffic_bytes`	number	Size of the data transferred for the run, in bytes.
`machine.items[].registration_number`	string	SIREN registration number.
`machine.items[].name`	string	Company name.
`machine.items[].status`	string	Activity status, e.g. En activité (active).
`machine.items[].address`	string	Head-office address.
`machine.items[].url`	string	Link to the company page on the register.
`machine.items[].company_type`	null	Null in the sample; use the company lookup for legal form.
`machine.items[].incorporation_date`	null	Null in the sample; use the company lookup for registration date.
`machine.items[].activity`	string	Main activity description.
`machine.items[].naf_code`	string	NAF activity code.
`machine.items[].officers`	string	Officers as a single text list, with a count of others when long.
`machine.items[].badges[]`	array	Badges shown on the listing; empty in the sample.

Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "fr_companies_search",
  "keyword": "danone",
  "max_items": 2,
  "start_page": 1,
  "partial": false,
  "human": "# France — Annuaire des Entreprises (RNE/Sirene) — company search\n\n- **Keyword:** danone\n- **Results:** 2 of 447 found\n- **Proxy traffic:** 170.3 KB",
  "machine": {
    "total_items": 2,
    "first_item": {
      "registration_number": "552032534",
      "name": "DANONE",
      "status": "En activité",
      "address": "59-61 RUE LA FAYETTE 75009 PARIS",
      "url": "https://annuaire-entreprises.data.gouv.fr/entreprise/danone-552032534",
      "company_type": null,
      "incorporation_date": null,
      "activity": "Activités des sièges sociaux",
      "naf_code": "70.10Z",
      "officers": "Antoine BERNARD DE SAINT AFFRIQUE, Frederic BOUTEBBA, Valerie CHAPOULAUD-FLOQUET, Gilbert GHOSTINE, Lise KINGO, et 8 autres",
      "badges": []
    },
    "items": [
      {
        "registration_number": "552032534",
        "name": "DANONE",
        "status": "En activité",
        "address": "59-61 RUE LA FAYETTE 75009 PARIS",
        "url": "https://annuaire-entreprises.data.gouv.fr/entreprise/danone-552032534",
        "company_type": null,
        "incorporation_date": null,
        "activity": "Activités des sièges sociaux",
        "naf_code": "70.10Z",
        "officers": "Antoine BERNARD DE SAINT AFFRIQUE, Frederic BOUTEBBA, Valerie CHAPOULAUD-FLOQUET, Gilbert GHOSTINE, Lise KINGO, et 8 autres",
        "badges": []
      },
      {
        "registration_number": "672039971",
        "name": "DANONE PRODUITS FRAIS FRANCE (D.P.F.F.)",
        "status": "En activité",
        "address": "17 RUE DES DEUX GARES 92500 RUEIL MALMAISON",
        "url": "https://annuaire-entreprises.data.gouv.fr/entreprise/danone-produits-frais-france-d-p-f-f-672039971",
        "company_type": null,
        "incorporation_date": null,
        "activity": "Fabrication de lait liquide et de produits frais",
        "naf_code": "10.51A",
        "officers": "Olivier PECHEREAU, Pablo PERVERSI, Jeremy WOOD, ERNST & YOUNG AUDIT",
        "badges": []
      }
    ],
    "total_found": 447,
    "page_count": 1,
    "blocked": false,
    "proxy_traffic_bytes": 174403
  },
  "total_points": 2
}

Integration

How to run it

The same lookup works from the app, the API, or as a tool an agent can call mid-task.

Results come back in the same envelope as every other source: a session id, a readable summary, the structured result and the points charged.

curl -X POST https://api.neuralverge.ai/functions/v1/run-fr-companies-search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"keyword":"danone","max_items":2}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Resolve a name to a SIREN

Turn a trading name into the registration number needed for a profile lookup.

Find group entities

Search a group name and see the subsidiaries that carry it, with activity codes.

Prospect lists by name

Collect French companies matching a keyword, with address and activity.

Screening

Check names against the register and flag any that are not En activité.

Coverage & limits

Coverage, freshness and limits

What this source covers, how fresh it is, and where it stops.

Coverage

France — entities on RNE / INPI.

Freshness

Read at request time, so the answer reflects the register as it stands when you ask.

Handling

RNE / INPI is a public register. Every response carries the source URL it was read from and a session id you can trace.

What it will not do

—Legal form and registration date are null in search results; use INPI company for them.
—Officers come as one text string, not a structured list.
—Matching is on name, so generic keywords return unrelated companies.

FAQ

Questions, answered

machine.total_found reports the register's count (447 for danone in the sample). You receive up to max_items of them.

Related sources

INPI company

Full French company record by SIREN.

KBO company

Belgian company record by enterprise number.

All corporate registries

Company registers across Europe, the Americas and Asia-Pacific, plus global LEI lookup.

Try france company search on your own data

One request format across every source in the catalog.

Get started