Abstract AI

WisPaper is an AI-driven research assistant that helps users search, filter, and synthesize academic papers and literature quickly and intelligently. Its “Scholar Search” feature acts like an agent: you issue queries about a topic and WisPaper scours research databases to surface the most relevant papers, abstracts, metrics, and insights. Rather than just returning lists, WisPaper lets you screen and filter results by relevance, date, citations, and impact, providing summaries and context to help you zero in on what matters. It also supports concept exploration, if you’re unsure of the exact terms, Wispaper can suggest related keywords or begin from broad ideas and help narrow them. The interface is built to streamline the literature review workflow, reducing the time spent manually digging through search engines, reading many abstracts, and cross-checking sources.

We built Abstract because most of the API's we've used in the past simply weren't great. Our APIs are built the way we think API's should be: with excellent documentation, multiple easy to use libraries, and tutorials to get you started. Something like IP geolocation is probably part of a critical business processes and flow, so we built it (as all of our APIs) for use at scale and at blazing speeds. These aren't just marketing phrases, but fundamental features of our APIs. Developers trust Abstract because of our reliable uptime and excellent technical support that will help get you live quickly, keep you running smoothly, and resolve any issues you have fast regardless of where you are or what you're building. Increase conversion and marketing effectiveness with Abstract's Link Shortener API. Abstract provides multiple reporting and analytics options through the API as well as the dashboard so you're never in the dark about the performance of your URL's.