Health & Labor Data Lab
Pull large datasets from your tayaproFetch site (or upload files), explore them, and run models for health costs, hospital readmissions, job loss and coverage, and premium pricing.
tayaproFetch connection
What your site needs to provide
For each dataset, answer GET /api/datasets/<name>?limit=N with JSON { rows: [...] }, a JSON array, or CSV. Names: meps, hcup, insurance, bls_flows. If you set an access key, it's sent as Authorization: Bearer <key>. Expected columns:
- meps: age, female, insured, chronic_count, income_k, total_expenditure
- hcup: age, length_of_stay, comorbidities, medicaid, emergency_admit, readmit_30d (0/1)
- insurance: age, smoker, bmi, children, annual_claims
- bls_flows: month, eu_rate, ue_rate, unemployment_rate, uninsured_rate
MEPS
0 rows
HCUP
0 rows
Insurance
0 rows
BLS gross flows
0 rows