Home / Companies / Parallel Web Systems / Blog / Post Details
Content Deep Dive

Introducing real-time Entity Search

Blog post from Parallel Web Systems

Post Details
Date Published
Author
Parallel
Word Count
588
Company Posts That Month
3
Language
English
Hacker News Points
-
Post removed?
No
Summary

Real-time Entity Search is a newly launched tool designed to efficiently locate companies with higher precision and reduced costs, tailored for real-time workflows and latency-sensitive applications. Users can describe their search criteria in plain language, such as "New York-based AI infrastructure startups that raised a Series B," and receive a structured set of results in seconds. This tool is particularly suited for uses within product interfaces, chat experiences, or automations that require human supervision and can be used alone or in conjunction with other Parallel products in a data pipeline. It is priced at $0.005 per request, delivering 100 results by default, and has been rigorously benchmarked on complex queries to ensure precision and relevance. Entity Search is ideal for scenarios like fast list-building of companies or people based on standard attributes to display in user interfaces or for downstream use, complementing Parallel's existing offerings like Search, FindAll, and Task for more comprehensive data tasks.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 5 5,601 1,340 262 -2%
LLM 2 6,196 1,155 243 -32%
Data Pipeline 1 503 235 96 -19%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.