Capteurs JC Decaux - CA Saint-Quentin-en-Yvelines

APINational · FranceNo auth

Données atmosphériques (taux d'humidité, température et pression) issues de capteurs installés sur les mobiliers JCDecaux. ### Informations générales de la classe d'entité - **Origine / Source** : JCDecaux - **Actualité** : Mise à jour mensuelle - **Précision** : 1 / 25 000 - **Système de r…

educationweather

Trust score

How is this computed?

good

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 API

Proof Evidence

official domain (data.gouv.fr) (catalog: api_gouv_fr)

Data schema (18 fields)

Filterable via the API (18)

objectidhorodatageidtemperaturehumiditepressionuvpm10pm25lumiereaudiogeometry_geoshape_geocorners_geopoint_id_i_rand

Field	Type	Description
objectid	integer	—
horodatage	integer	—
id	string	—
temperature	number	—
humidite	number	—
pression	number	—
uv	boolean	—
pm10	number	—
pm25	number	—
lumiere	number	—
audio	number	—
geometry	string	—
_geoshapeGéométrie	object	Au format d'une géométrie GeoJSON
_geocornersBoite englobante de la géométrie	array	Sous forme d'un tableau de coordonnées au format "lat,lon"
_geopointCoordonnée géographique	string	Centroïde au format "lat,lon"
_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: 78297.00088.03

{
  "_i": 1,
  "id": "78297.00088.03",
  "uv": true,
  "_id": "ehoW2dqWNm-cpdfhDvjNN",
  "pm10": 9.63,
  "pm25": 8.63,
  "_rand": 509783,
  "audio": 29.88,
  "_score": null,
  "lumiere": 1,
  "geometry": "{\"type\":\"Point\",\"coordinates\":[48.78224,2.054719999999975]}",
  "humidite": 100,
  "objectid": 150,
  "pression": 1001,
  "_geopoint": "2.054719999999975,48.78224",
  "horodatage": 1683849600000,
  "temperature": 11.15
}

Record 2_i: 2 · id: 78423.00383.03

{
  "_i": 2,
  "id": "78423.00383.03",
  "uv": true,
  "_id": "Q2PMESDG_FMguVK_Jy9hR",
  "pm10": 6.13,
  "pm25": 5.13,
  "_rand": 943825,
  "audio": 50.13,
  "_score": null,
  "lumiere": 1,
  "geometry": "{\"type\":\"Point\",\"coordinates\":[48.78924999999998,2.036229999999989]}",
  "humidite": 55.38,
  "objectid": 151,
  "pression": 990.88,
  "_geopoint": "2.036229999999989,48.78924999999998",
  "horodatage": 1683860400000,
  "temperature": 9.82
}

Record 3_i: 3 · id: 78423.00388.03

{
  "_i": 3,
  "id": "78423.00388.03",
  "uv": true,
  "_id": "ntsFKEjo4CVNr0zv5Olp3",
  "pm10": 5.5,
  "pm25": 4.5,
  "_rand": 484411,
  "audio": 49.5,
  "_score": null,
  "lumiere": 1,
  "geometry": "{\"type\":\"Point\",\"coordinates\":[48.789199999999994,2.033079999999984]}",
  "humidite": 50.5,
  "objectid": 152,
  "pression": 999,
  "_geopoint": "2.033079999999984,48.789199999999994",
  "horodatage": 1683860400000,
  "temperature": 9.25
}

Record 4_i: 4 · id: 78423.00480.02

{
  "_i": 4,
  "id": "78423.00480.02",
  "uv": true,
  "_id": "MLvZUTTU4zNyTLP0uVIbH",
  "pm10": 19.71,
  "pm25": 18.71,
  "_rand": 459429,
  "audio": 69,
  "_score": null,
  "lumiere": 1,
  "geometry": "{\"type\":\"Point\",\"coordinates\":[48.78724999999997,2.0416700000000105]}",
  "humidite": 76,
  "objectid": 153,
  "pression": 582.57,
  "_geopoint": "2.0416700000000105,48.78724999999997",
  "horodatage": 1683860400000,
  "temperature": 9.74
}

Record 5_i: 5 · id: 78423.00483.02

{
  "_i": 5,
  "id": "78423.00483.02",
  "uv": true,
  "_id": "YtYHLp8NdF4A8km0J56n6",
  "pm10": 5.5600000000000005,
  "pm25": 4.5600000000000005,
  "_rand": 262849,
  "audio": 63,
  "_score": null,
  "lumiere": 1,
  "geometry": "{\"type\":\"Point\",\"coordinates\":[48.78482600000001,2.044700999999975]}",
  "humidite": 75,
  "objectid": 154,
  "pression": 1000,
  "_geopoint": "2.044700999999975,48.78482600000001",
  "horodatage": 1683860400000,
  "temperature": 10.74
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL: https://opendata.sqy.fr/data-fair/api/v1/datasets/capteurs-jc-decaux-ca-saint-quentin-en-yvelines/
Format: openapi

Query examples

curl -s 'https://opendata.sqy.fr/data-fair/api/v1/datasets/capteurs-jc-decaux-ca-saint-quentin-en-yvelines/' -H 'Accept: application/json'

Base API endpoint — see the documentation for available routes.

Full API documentation ↗

Dataset

Volume & freshness

Records

23k

22526

Last upstream update

10 days ago

2026-06-22

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: datafair

Machine-readable & source

OpenAPI spec JSON

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.