xyz.crossgrain/epitaxy

epitaxy

Federal drug shortages and recalls joined to the federal contracts that buy those drugs.

0.1.4
Version
remote + pypi
Transport
5
Tools

Security review

Review passed

Reviewed 1d ago.

  • tools: 5 tools scanned
  • metadata: scanned
  • packages: 1 checked

No findings.

Tools (5)

  • get_data_freshness

    Returns when the data was last activated, how many segments are live, and the state of the last run. Call this first when you need to know whether the data is fresh.

  • list_drug_shortages

    Current and resolved US drug shortages as reported by the FDA. Each row carries the generic name, the reporting company and its company_id. Filters: status, generic_name, company_id, limit.

  • list_drug_recalls

    FDA drug recalls and enforcement reports. Filters: classification (Class I, II, III), company_id, limit.

  • list_federal_drug_contracts

    US federal contracts for drugs, product service code 6505, from USAspending. Filters: agency, company_id, limit.

  • get_supplier_exposure

    The join: a federal contract whose supplier has an FDA shortage or recall. Every row carries company_name, confidence (exact, probable or weak) and match_method. A cross source join is NEVER exact, because FDA and USAspending share no identifier. The claim is: this government supplier has an active FDA shortage or recall. It does NOT claim that this contract delivers that drug. Without a key you get exact and probable matches only, at most 20 rows, without the evidence field.