Government opportunities · Research funding / public awards
NIH RePORTER API: coverage and access
Find biomedical data-intensive projects, funded investigators, institutions, and technical research that may need data platforms, pipelines, or specialized developer tooling. Data-product founders can map funded, technically sophisticated research organizations and domain-specific demand without relying on vendor estimates.
What it covers
Geography and granularity
Geography: Use the geography stated by the source; coverage can vary by dataset and release.
Granularity: Find biomedical data-intensive projects, funded investigators, institutions, and technical research that may need data platforms, pipelines, or specialized developer tooling.
Source type: Research funding / public awards
Potential use
Find biomedical data-intensive projects, funded investigators, institutions, and technical research that may need data platforms, pipelines, or specialized developer tooling. Data-product founders can map funded, technically sophisticated research organizations and domain-specific demand without relying on vendor estimates.
Access and cost
Public source
Programmatic JSON API and public RePORTER interface; official documentation provides endpoint schemas and example CLI requests.
Cost: Current price was not established in this review; check the provider's access terms.
Update cadence: Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.
- Provider page ↗
- Documentation and access details ↗Check the provider's current terms and instructions before use
Interpret carefully
Limits that affect the decision
The API does not support fuzzy, proximity, or general range searches; NIH recommends no more than one request per second and limits large jobs to off-peak hours.
Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.
This record summarizes source documentation; Jon Bishop did not conduct an independent audit of the underlying dataset.