At Gnip we know that reliable, sustainable, and complete data delivery products are core to enabling our customers to surface insights and value from social data. Today we’re excited to announce a new API that will make it easier for our customers to monitor and manage the volume of Gnip data they consume – the Usage API.
The Usage API is a free service that allows Gnip customers to send requests for account consumption statistics across our various data sources. This API allows for even more granular visibility into usage and allows for new automated monitoring and alerting apps. Customers now have a programmatic way for understanding usage trends in addition to the monthly and daily usage reports already available in the Gnip Console.
Customer usage data is shown in aggregate and broken down by data source and product type to provide a narrow lens for studying consumption levels. There are now numerous activity update intervals throughout the day and, where applicable, monthly usage projections are also provided for insight into end-of-month usage statistics. The Usage API also includes consumption thresholds for each account to enable customers to keep track of maximum anticipated consumption levels.
The Usage API is available for use today. To learn more about the Usage API or to find instructions for getting started, please reference our support documentation.
Social media analysis… for traders? That statement 5 years ago elicited a much different response than it does now. The market now recognizes the importance – and the impact – of social media channels, and as such, has recognized the need to monitor and trade off the research created from that data.
One of the earliest and most important voices in this conversation was that of Joe Gits and the Social Market Analytics team. Which is why we are incredibly excited to announce that they’ve joined the Plugged In to Gnip partner program.
Social Market Analytics quantifies social data for traders, portfolio managers, hedge funds and risk managers. Their technology extracts, evaluates and calculates social data to generate directional sentiment and volatility indications on stocks, ETFs, sectors and indices – providing predictive indicators for clients. They have succeeded in turning qualitative text into quantitative indicators that can easily be incorporated into trading strategies – broadening the types of traders and firms who can now access and incorporate social signal into their decision making.
As shown in their recently announced agreement with New York Stock Exchange (allowing NYSE reseller and distribution rights to their sentiment feed), SMA is helping bring social analytics to a wider group of financial firms than has ever been possible. That client base requires the highest-level of enterprise reliability in the products they buy – which means SMA’s product requires the strongest data foundation possible. And Gnip is honored to be the company providing the reliable and complete access to the social data that fuels this solution.
To see what their technology looks like, check out the webinar we recently held with them.