Un profil reflète une forme de consommation ou de production, c'est-à-dire la façon dont un client moyen consomme ou produit l'électricité au cours du temps. Les données publiées correspondent aux valeurs des profils nationaux construits par Enedis et validés par la Commission de Régulation de l’É…
Trust score
How is this computed?Composite of 5 axes from our methodology (proof-based officialness, live verification, metadata completeness, license clarity, agent readiness).
- Officialnessweight 25%40/100
40/100 from 5 proof signals (domain / portal-backlink / GitHub-org / reciprocal / policy).
- Availabilityweight 25%100/100
Latest verification succeeded.
- Metadata completenessweight 20%90/100
9 of 10 recommended metadata fields populated.
- License clarityweight 15%0/100
No license declared upstream.
- Agent readinessweight 15%85/100
OpenAPI spec URL declared · Spec format known (openapi) · Docs URL present · Homepage URL present · Topic tags assigned
Official Proof
Public Sector APIProof Evidence
official domain (data.gouv.fr) (catalog: api_gouv_fr)
Data schema (11 fields)
| Field | Type | Description |
|---|---|---|
| horodate | string (date-time) | — |
| sous_profil | string | — |
| categorie | string | — |
| coefficient_prepare | number | — |
| coefficient_ajuste | number | — |
| coefficient_dynamique | number | — |
| indic_dispers_poids_dyn | integer | — |
| indic_precision_dyn | integer | — |
| _idIdentifiant | string (uri-reference) | Identifiant unique parmi toutes les lignes du jeu de données |
| _iNuméro de ligne | integer | Indice de la ligne dans le fichier d'origine |
| _randNombre aléatoire | integer | Un nombre aléatoire associé à la ligne qui permet d'obtenir un tri aléatoire par exemple |
Schema captured from datafair 1 day ago.
Sample data (5 records)
Record 1_i: 1 · _id: -NavZS3qcd1ygt_prVh1p
{
"_i": 1,
"_id": "-NavZS3qcd1ygt_prVh1p",
"_rand": 505397,
"_score": null,
"horodate": "2021-06-27T00:00:00+02:00",
"categorie": "Entreprise",
"sous_profil": "ENT1_HCE",
"coefficient_ajuste": 4.6068,
"coefficient_prepare": 4.6068
}Record 2_i: 2 · _id: ksq8uIog6sfYCP1A0skqA
{
"_i": 2,
"_id": "ksq8uIog6sfYCP1A0skqA",
"_rand": 262536,
"_score": null,
"horodate": "2021-06-27T00:30:00+02:00",
"categorie": "Entreprise",
"sous_profil": "ENT1_HCE",
"coefficient_ajuste": 4.4918,
"coefficient_prepare": 4.4918
}Record 3_i: 3 · _id: bVEq-8kl-2rwW2nMGIUiC
{
"_i": 3,
"_id": "bVEq-8kl-2rwW2nMGIUiC",
"_rand": 748696,
"_score": null,
"horodate": "2021-06-27T01:00:00+02:00",
"categorie": "Entreprise",
"sous_profil": "ENT1_HCE",
"coefficient_ajuste": 4.4252,
"coefficient_prepare": 4.4252
}Record 4_i: 4 · _id: hg2lJnqyImAUpE1dY02TV
{
"_i": 4,
"_id": "hg2lJnqyImAUpE1dY02TV",
"_rand": 966225,
"_score": null,
"horodate": "2021-06-27T01:30:00+02:00",
"categorie": "Entreprise",
"sous_profil": "ENT1_HCE",
"coefficient_ajuste": 4.4252,
"coefficient_prepare": 4.4252
}Record 5_i: 5 · _id: NHpQEVS9q90FkFydrsj1a
{
"_i": 5,
"_id": "NHpQEVS9q90FkFydrsj1a",
"_rand": 498853,
"_score": null,
"horodate": "2021-06-27T02:00:00+02:00",
"categorie": "Entreprise",
"sous_profil": "ENT1_HCE",
"coefficient_ajuste": 4.4161,
"coefficient_prepare": 4.4161
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://opendata.enedis.fr/data-fair/api/v1/datasets/coefficients-des-profils/
- Format
- openapi
Query examples
curl -s 'https://opendata.enedis.fr/data-fair/api/v1/datasets/coefficients-des-profils/' -H 'Accept: application/json'Base API endpoint — see the documentation for available routes.
Dataset
Volume & freshness
License
No license declared upstream.
Source: datafair
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.