See where biomedical research money is flowing, by institution or by topic. Provide one or more organizations (a university, institute or biotech) or research topics and get their recent NIH grants from NIH RePORTER: funding momentum, the biggest recent awards and which organizations dominate a field, scored by size and recency. A curated funding signal, not a raw grant dump.
What it does
- Two modes: by organization (an institution's funding profile) or by topic (who funds a research area).
- Funding momentum: total recent award value and grant count.
- Top organization: which institution dominates a topic search.
- Impact score 0-100 from award size plus recency.
- A direct NIH RePORTER link for every grant.
Who uses research-funding data
- Biotech investors and analysts tracking where R&D capital concentrates before it reaches pipelines.
- Competitive-intelligence teams monitoring a competitor institution's funded research.
- Fintech and research apps embedding funding-momentum data.
How it works
The tool reads the official NIH RePORTER API (free, public, no key, JSON), queries by organization or topic, scores each grant by size and recency, and aggregates per query. Clean and stable.
Example
Broad Institute in live data: roughly $113M across recent grants, led by a ~$36M genome-center award. Topic "CRISPR gene therapy": surfaces which institutions win the largest awards in the field.
Scope and limitation
Covers NIH and other HHS divisions (CDC, FDA, AHRQ, HRSA) plus VA. NIH funds mostly universities, institutes and small biotechs, so this is a research-funding signal, not a direct public-company revenue feed.
FAQ
Organization or topic?
Organization mode profiles an institution's funding; topic mode shows who funds a research area.
Why no public-company tickers?
NIH funds research institutions, not mostly public companies; use it as an upstream R&D signal.
Is this investment advice?
No. It is data for research and monitoring.
Use with AI agents and automation
This runs as an Apify Actor, so it drops into your stack with no scraping or glue code: - AI agents and LLMs: call it as a live tool from LangChain, LlamaIndex or Flowise, or over MCP. - No-code automation: wire it to Zapier or Make (new large grant -> Slack, Google Sheets or alert). - Webhooks and pipelines: fire a webhook on each run, or chain it into another DataSignals Lab product. - API and schedule: JSON output, on demand or on a daily schedule.