SWATGenX
SWAT+ watershed models for any river in the lower 48 states, with groundwater and PFAS data
- Brand
- SWATGenX
- Category
- Data & Analytics
- Primary Subcategory
- Scientific & Biomedical Research Data
Integration details
Description
The agent-native front door to SWATGenX: SWAT+ watershed models for any river in the lower 48 states, built in the cloud from national datasets, with calibration as a separate step you run when you are ready. Add it to Claude or any MCP client, and an agent can search the example-model catalog with its calibration and held-out validation scores, query a national groundwater well inventory and PFAS monitoring data (the stations whose source licences allow serving them), preview what a model of a watershed would contain, read the documentation, and order, track and download a real SWAT+ build under the same allocations as the web app. Every call needs a SWATGenX sign-in or an API key. The model, data and order tools are part of the developer plans (Developer or Developer Pro, for verified developers) and Department; the documentation, access and engine-info tools stay open to any signed-in account. SWATGenX builds SWAT+ models for a USGS gauge, a HUC12 outlet or a HUC8 basin from NHDPlus HR hydrography, gSSURGO soils, NLCD land cover and PRISM weather. Calibration against USGS streamflow is a separate step you run when you are ready, on cloud compute paid from your credit.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Scientific & Biomedical Research Data
- Secondary Subcategories
- None listed
- Brand
- SWATGenX
- Access
- Account required
- First tracked
- 2026-11-01
- Tool count
- 13
- Market
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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Competing in Claude Scientific & Biomedical Research Data
View Category13 tools agents can invoke
SWATGenX Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve SWATGenX's Claude Connector discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are SWATGenX alternatives on Claude?
As of 2026-11-02, SWATGenX competes with Amass Connector, Boltz API, Synthesize Bio, Elicit, Addgene, Atomscale, Benchling, BESTPRED and 32 more in Claude Scientific & Biomedical Research Data, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.