Integration
Connect BigML to PublicDataHub
When something happens in BigML, your agent does the next thing in PublicDataHub. Describe it in plain language and the automation is built, tested on every branch and kept running.
Build it
What do you want BigML and PublicDataHub to do together?
Describe it and your agent reads both APIs, builds the automation, tests every branch and ships it. The list below is what exists today, not the limit.
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Install the APIANT plugin for Claude Code and build, edit, test and read run history from your terminal. Every plan gets this, including free, and it spends no assistant credits.
Connect Claude CodeEverything your agent can do with BigML and PublicDataHub
Triggers and actions 1 trigger ยท 8 actions
Trigger
New projectTriggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id.
Action
Get Resource StatusRetrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results.
Action
List DatasetsList BigML datasets, optionally filtered/paginated (GET /dataset).
Action
List ModelsList BigML models, optionally filtered/paginated (GET /model).
Action
List SourcesList BigML sources, optionally filtered/paginated (GET /source).
Action
Get agencyLook up one federal agency by slug: its budget authority, obligations and outlays. GET /api/export/agency/{slug}.json
Action
Get districtLook up one school district by slug: total enrollment and the number of schools it runs. GET /api/export/district/{slug}.json
Action
Get hospitalLook up one Medicare-certified hospital by slug, with every reported quality measure and its national rank. GET /api/export/hospital/{slug}.json
Action
Get schoolLook up one public school by slug: enrollment, teacher count, student-teacher ratio and free-lunch share. GET /api/export/school/{slug}.json
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
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