The Google Cloud Inference API allows you to run large scale correlations over typed time series datasets and provides a way to gather insights in real time. It is used in some cases that may include; analyzing foot traffic and conversion for retailers, detecting data anomalies, identifying correlations in real time over sensor data, and more. This API is currently in alpha release and might be changed. It is not recommended for production use and not subject to any SLA or deprecation policy. Google Cloud helps developers build with cloud tools and infrastructure, applications, maps and devices.
This portion of our series about the Most Interesting APIs in 2018 encompasses all APIs developers could utilize for data manipulation purposes, such as accessing data, extracting data from web sources, creating reports and visualizations, database administration, linking data in apps, and more.
Eleven APIs have been added to the ProgrammableWeb directory in categories including Sentiment, Analytics, and Auto. Featured APIs include the Twinword Emotion Analysis API for analyzing sentiment in text, and the Google Cloud Inference API, currently in Alpha release. Here's a look at what is new.
Google is testing its Cloud Inference API in an alpha release. The API allows developers to index and load datasets from multiple data sources from Google Cloud Storage, execute inference queries over loaded datasets, unload or cancel datasets, and get status updates for datasets sent to processing.
The SafeGraph Places API offers information about points of interests, such as location name, address, category, open hours, popularity, and more. The API provides flexible search options, including...