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Full name: projects.locations.featurestores.entityTypes.readFeatureValues
Reads feature values of a specific entity of an EntityType. For reading feature values of multiple entities of an EntityType, please use entityTypes.streamingReadFeatureValues.
Endpoint
post
https://{service-endpoint}/v1/{entityType}:readFeatureValues
Required. The resource name of the EntityType for the entity being read. value format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}. For example, for a machine learning model predicting user clicks on a website, an EntityType id could be user.
Request body
The request body contains data with the following structure:
Fields
entityId
string
Required. id for a specific entity. For example, for a machine learning model predicting user clicks on a website, an entity id could be user_123.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-06-27 UTC."],[],[],null,["# Method: entityTypes.readFeatureValues\n\n**Full name**: projects.locations.featurestores.entityTypes.readFeatureValues\n\nReads feature values of a specific entity of an EntityType. For reading feature values of multiple entities of an EntityType, please use entityTypes.streamingReadFeatureValues. \n\n### Endpoint\n\npost `https:``/``/{service-endpoint}``/v1``/{entityType}:readFeatureValues` \nWhere `{service-endpoint}` is one of the [supported service endpoints](/vertex-ai/docs/reference/rest#rest_endpoints).\n\n### Path parameters\n\n`entityType` `string` \nRequired. The resource name of the EntityType for the entity being read. value format: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`. For example, for a machine learning model predicting user clicks on a website, an EntityType id could be `user`.\n\n### Request body\n\nThe request body contains data with the following structure:\nFields `entityId` `string` \nRequired. id for a specific entity. For example, for a machine learning model predicting user clicks on a website, an entity id could be `user_123`.\n`featureSelector` `object (`[FeatureSelector](/vertex-ai/docs/reference/rest/v1/FeatureSelector)`)` \nRequired. Selector choosing Features of the target EntityType. \n\n### Response body\n\nIf successful, the response body contains an instance of [ReadFeatureValuesResponse](/vertex-ai/docs/reference/rest/v1/ReadFeatureValuesResponse)."]]
