Directory of AI stakeholders in Pays de la LoireAnnuaire des acteurs de l'IA en Pays de la Loire
Annuaire des acteurs de l'IA en Pays de la LoireDirectory of AI stakeholders in Pays de la Loire
This API provides a list of professional actors identified within the artificial intelligence ecosystem of the Pays de la Loire region in France. It is published on the region's open data platform and offers free access without authentication. The dataset is intended to support mapping and analysis of regional AI-related economic activity, covering entities involved in the AI sector at the regional level.Liste des acteurs professionnels identifiés, de l'écosystème IA en Pays de la Loire.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (13 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | airtable_idAirtable id | text | Unique Airtable record identifier.Unique Airtable record identifier. |
| 100% | airtable_createdtimeAirtable createdtime | text | Date and time the record was created in Airtable.Date and time the record was created in Airtable. |
| 100% | rue | text | Street name of the actor's address.Street name of the actor's address. |
| 100% | numero | double | Street number of the actor's address.Street number of the actor's address. |
| 100% | ville | text | City where the actor is located.City where the actor is located. |
| 100% | adresse_completeAdresse complete | text | Full formatted postal address of the actor.Full formatted postal address of the actor. |
| 100% | nom | text | Name of the AI ecosystem actor.Name of the AI ecosystem actor. |
| 100% | code_postalPostal code | int | Postal code of the actor's address.Postal code of the actor's address. |
| 100% | categories_libellesCategories libelles | text | Categories describing the actor's type of activity.Categories describing the actor's type of activity. |
| 74.8% | id | text | Internal record identifier.Internal record identifier. |
| — | description | text | Textual description of the actor.Textual description of the actor. |
| — | adresse | text | Street address including number and street name.Street address including number and street name. |
| — | localisation | geo_point_2d | Geographic coordinates (latitude and longitude) of the actor.Geographic coordinates (latitude and longitude) of the actor. |
Schema captured from opendatasoft 3 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1id: g · nom: NEXT P
{
"id": "g",
"nom": "NEXT P",
"rue": "RUE LA NOUE BRAS DE FER",
"ville": "NANTES",
"numero": 11,
"adresse": "11 RUE LA NOUE BRAS DE FER NANTES 44200",
"airtable_id": "rec6N4I00cLNlmugn",
"code_postal": 44200,
"description": null,
"localisation": {
"lat": 47.20659008412677,
"lon": -1.5572870621856392
},
"adresse_complete": "11 RUE LA NOUE BRAS DE FER 44200 NANTES",
"categories_libelles": "Pure player",
"airtable_createdtime": "2025-10-28T10:31:15.000Z"
}Record 2id: V · nom: KALENT
{
"id": "V",
"nom": "KALENT",
"rue": "QUAI TURENNE",
"ville": "NANTES",
"numero": 10,
"adresse": "10 QUAI TURENNE NANTES 44000",
"airtable_id": "recAqqF3akEUwhyBe",
"code_postal": 44000,
"description": null,
"localisation": {
"lat": 47.21356211238407,
"lon": -1.5537435497838992
},
"adresse_complete": "10 QUAI TURENNE 44000 NANTES",
"categories_libelles": "Pure player",
"airtable_createdtime": "2025-10-28T10:31:15.000Z"
}Record 3id: Z · nom: LISTO
{
"id": "Z",
"nom": "LISTO",
"rue": "Allée Flesselles",
"ville": "Nantes",
"numero": 3,
"adresse": "3 Allée Flesselles Nantes 44007",
"airtable_id": "recq6qCJQE3ZIUFT2",
"code_postal": 44007,
"description": null,
"localisation": {
"lat": 47.21302365500105,
"lon": -1.554826951631588
},
"adresse_complete": "3 Allée Flesselles 44007 Nantes",
"categories_libelles": "Pure player",
"airtable_createdtime": "2025-10-28T10:31:15.000Z"
}Record 4id: A · nom: BIG DATA SANTE -OCTOPIZE BIG DATA SANTE
{
"id": "A",
"nom": "BIG DATA SANTE -OCTOPIZE BIG DATA SANTE",
"rue": "BOULEVARD LELASSEUR",
"ville": "NANTES",
"numero": 48,
"adresse": "48 BOULEVARD LELASSEUR NANTES 44000",
"airtable_id": "recEzvnr78xKnCcLj",
"code_postal": 44000,
"description": null,
"localisation": {
"lat": 47.23151013587568,
"lon": -1.5672248818187833
},
"adresse_complete": "48 BOULEVARD LELASSEUR 44000 NANTES",
"categories_libelles": "Pure player",
"airtable_createdtime": "2025-10-28T10:31:15.000Z"
}Record 5id: s · nom: WMB COMPANY - Tookano
{
"id": "s",
"nom": "WMB COMPANY - Tookano",
"rue": "ALLEE DU 9 NOVEMBRE 1989",
"ville": "AVRILLE",
"numero": 1,
"adresse": "1 ALLEE DU 9 NOVEMBRE 1989 AVRILLE 49240",
"airtable_id": "recpyQqnir0NhAJLm",
"code_postal": 49240,
"description": null,
"localisation": {
"lat": 47.50930775884704,
"lon": -0.5879376631987452
},
"adresse_complete": "1 ALLEE DU 9 NOVEMBRE 1989 49240 AVRILLE",
"categories_libelles": "Pure player",
"airtable_createdtime": "2025-10-28T10:31:15.000Z"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.paysdelaloire.fr/api/explore/v2.1/catalog/datasets/acteurs-eco-ia-pdl
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.paysdelaloire.fr/api/explore/v2.1/catalog/datasets/acteurs-eco-ia-pdl/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.