Chirpz Agent is an intelligent literature discovery platform designed to help researchers efficiently find, prioritize, read, and cite academic papers. It uses AI to understand research context and provides targeted literature discovery across multiple academic databases.

The platform searches 280M+ papers across PubMed, arXiv, academic journals, and conference proceedings in a single query. It reads, ranks, and filters papers by true relevance to your work, provides instant AI summaries of every paper, and identifies gaps in your draft by detecting sections lacking citations. Users can upload PDF drafts for analysis and get complete metadata including titles, abstracts, authors, dates, journals, and citation counts.

Chirpz works by allowing users to type research questions naturally or upload files for analysis. The AI instantly extracts key research scopes and crafts smart search strategies, then discovers relevant papers in real-time ranked by relevance. Users can browse, review, filter, and export citations with accurate metadata.

The platform helps researchers cut through noise to read the most important papers first, saves time by providing instant summaries, and ensures comprehensive literature coverage. It prevents missing key references and provides trusted, verified citations without hallucinations.

Chirpz is designed for academic labs, technology labs, biotech and pharma teams, individual researchers, and graduate students. It integrates with established academic databases and provides BibTeX export capabilities.