Astro Data Search Agent
Astrophysics dataset discovery agent for finding astronomical data across NASA archives (MAST, HEASARC, IRSA) via Astroquery and ADS. Supports object-based, coordinate-based, and event-driven search patterns for researchers at all experience levels. Outputs are delivered via a structured schema and interactive chat with the user for clarification, guidance, approval gates, or status updates.
CMR CARE Agent
Earth science dataset discovery agent using NASA's Common Metadata Repository (CMR). Helps users discover, organize, and understand NASA Earthdata datasets across atmosphere, ocean, land, cryosphere, biosphere, and solid earth domains. Outputs are delivered via a structured schema and interactive chat for clarification, guidance, approval gates, or status updates.
Code Search CARE Agent
Scientific code repository discovery agent that searches NASA-verified repositories, Science Discovery Engine (SDE), and ADS to find publicly available code repositories relevant to scientific and technical tasks. Outputs are delivered via a structured schema and interactive chat with the user for clarification, guidance, approval gates, or status updates.
Image Analyzer Agent
Generic scientific image analyzer that downloads remote images, base64-encodes them, and sends batches to a vision-capable language model via responses.parse for structured per-image analysis. Returns one FigureAnalysis per image (type, description, axes, legend, caption, anomaly notes) plus a consolidated Markdown report.
Planetary Data Search Agent
Planetary science dataset discovery agent for NASA's Planetary Data System (PDS). Searches across PDS node services (GEO, IMG, RMS, SBN, PPI, ATM) to find datasets and products with stable identifiers and download paths when available for planetary science research. Outputs are delivered via a structured schema and interactive chat with the user for clarification, guidance, approval gates, or status updates.
Research Gap Detection Agent
Research gap detection agent that identifies gaps, contradictions, and candidate research questions from relevant academic literature on a given research topic. Given a query, it retrieves and analyzes papers through a structured six-stage process (scope inference, extraction, gap-matrix, gap identification, research questions, prioritization) and outputs a structured markdown report with identified gaps, contradictions, and research questions.