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The Nutrition Analysis API and Database uses Natural Language Processing and semantically structured data. This is the most advanced nutrition analysis technology available! Recipe nutrition analysis - Submit the full text of any recipe or ingredient list. Edamam will extract the full nutrition and ingredient data from the text. No more need to spend hours entering your recipes line by line. The nutrition analysis takes less than a second! - Edamam returns detailed information for each ingredient line. You can get information for the entire recipe as a whole or broken down automatically for each ingredient. Food database - Edamam provides access to a food nutrient database with over 100,000 basic foods and consumer packaged goods - For basic foods (flour, eggs, flour etc.), Edamam returns data for calories, fats, carbohydrates, protein, cholesterol, sodium and another 30 micronutrients. For packaged foods and fast foods data is return as listed on their nutrition label - All food nutrient data is enriched with diet, allergy and health labeling, as calculated by Edamam based on the food's ingredients. Vegan, Paleo, Gluten Free, Low-Sodium, Dairy Free are some of the 20+ claims generated automatically. Low cost solution - Edamam provides free nutrient database access and recipe nutrition analysis with its basic plan for developers, startups and non-profits alike. - Enterprise customers are charged a very low monthly licensing fee for recipe analysis and/or food data calls based on usage. Custom packages are also available.
Sports Open Data is a project started in June 2015 created by Paolo Riva, Riccardo Quatra and Fabio Sgroi. This project was born by a need we've found when looking for statistics in Sports: no website offers its data in an Open Data way. Sports Open Data will work in this way: by providing a JSON REST API, Sports Open Data allow you to manage data for every single match we've stored on our database. And that's not over: Sports Open Data has been structured as an Open Organization: feel free to partecipate to our project or simply be part of our community to make it grow day by day. Open Data created by users for users.
Perform a BIN (Bank Identification Number) or IIN (Issuer Identification Number) lookup. This API is ideal for fraud protection systems and payment analysis. Our BIN database is comprehensive and covers all countries, we update it on a regular basis as new cards are issued. This API also includes some extra fraud detection measures if a customer IP address is passed in. In this mode the API will also perform IP geolocation and IP blocklist lookups. Please Note: processing and transmitting BIN numbers is perfectly safe as long as no other card information is present, BIN numbers on there own pose no security risk to the card holder or merchant. To prevent abuse this API is restricted to a maximum of 5 API calls per day for Free API accounts.
Ontotext is a Bulgarian software company headquartered in Sofia. Its main domain of activity is the development of software based on the Semantic Web languages and standards, in particular RDF, OWL and SPARQL. Ontotext is best known for the Ontotext GraphDB semantic graph database engine. Another major business line is the development of enterprise knowledge management and analytics systems that involve big knowledge graphs. Those systems are developed on top of the Ontotext Platform that builds on top of GraphDB capabilities for text mining using big knowledge graphs. Typically they involve semantic data integration that results in a big knowledge graph, which combines proprietary master data with open data and commercially available datasets. These big knowledge graphs are used to provide context about the corresponding domain and semantic profiles of the key concepts and entities in it. Ontotext runs several public demonstration services: Ontotext has supported the development of the following open source software, starting with EC research projects since 2001: The company has been involved in over 30 research projects in the European Commission Framework Programmes in the domains of Semantic Web, Linked Data, Open Data and Text mining.