Show HN: Getting full-text scientific content into LLMs+Agents is stupidly hard by zk108
We are super excited to release an update on the DeepSearch API! This release was shaped by the conversations we’ve had with you: the feedback, questions, and friction you’ve shared while building everything from quick internal tools to full-blown agentic & search systems. Thank you.
Across use cases, the pain was familiar: not because the system wasn’t working, but because the interface and content weren’t doing enough heavy lifting. You had to work around results that weren’t quite ready to plug into your workflows: citation fields that didn’t go deep enough, references that weren’t always structured cleanly, formatting that fell apart across modalities. The content was there, but not always in a form that played well with how you were actually using it, in apps, chains, agents, UIs. So we fixed that, while also expanding coverage in areas like biomedical research and financial content. You weren’t building search boxes, you were building systems that needed to reason, cite, and compose.
This update doesn’t reset anything, it builds directly on what already worked: deep search across proprietary full-text content, web, and financial data. What’s new is better coverage, more modalities (including images and figures), smarter reranking, and a cleaner experience for agent workflows and tool-calling.
Whether you’re hitting us from a simple prompt or stitching us into multi-step chains, this is about closing the gap between what you retrieve and what your system can actually use. Here’s what’s new and why it matters.
New Content You Can Retrieve
1. Wiley Academic
You can now access full-text journals and textbooks from Wiley across Business, Finance, and Accounting.
Each result includes:
- Full body text, structured by section
- Lists of authors and affiliations
- Inline citation strings (for attribution in generated answers)
- Structured references (for graph building, citation following)
Example: A student builds a study assistant that retrieves textbook content and generates summaries, lesson plans and study guides. The assistant uses citation strings to footnote its answers and links to source sections for follow-up reading.
2. PubMed (2022–Present)
Multimodal biomedical articles: full text, images, captions, references, and metadata.
Use cases we’ve seen:
- A team working on a clinical research summariser that uses our API to retr