enterprise data licensing

Argus HQ Enforcement Data — Licensing for Enterprise

Everything on the free public database — every FDA Warning Letter, recall, and drug approval, AI-summarized and company-resolved — is also available as a licensed bulk feed for teams that need it inside their own product or workflow.

Insurance underwriters

Score product-liability and E&O risk on pharma/device manufacturers with a live feed of every FDA warning letter, recall class, and inspection citation tied to a company — not a quarterly PDF summary.

GRC platforms

Drop a structured FDA enforcement feed into your existing compliance-monitoring product instead of building and maintaining your own FDA.gov scraper and entity-resolution layer.

Regtech vendors

License the underlying data to power your own customer-facing alerts, dashboards, or diligence reports — white-label ready, updated daily as FDA publishes.

Journalists & researchers

Full historical FDA enforcement data, company-resolved and machine-readable, for investigative reporting or academic research. Reduced-rate licensing available — ask.

Sample data — evaluate before you license

No sales call required to see the actual shape of the data. Download real, public FDA records exactly as Argus HQ structures them.

Record counts by stream

Live counts from the production database, cached up to 24 hours (this page revalidates daily).

166
Warning Letters
1,037
Recalls
74
Approvals
176
Form 483 Inspections

1,453 total records indexed as of this page's last revalidation.

Field dictionary

Column names, types, and descriptions for each data stream in the licensed feed.

Warning Letters

FieldTypeDescription
company_nametextRecipient company/entity name as named in the letter.
subjecttextFDA's stated subject line for the letter (e.g. violation category).
letter_issue_datedateDate FDA issued the letter.
posted_datedateDate FDA posted the letter publicly.
issuing_officetextFDA center/office that issued the letter (e.g. CDER, CDRH, ORA).
source_urlurlDirect link to the primary letter on FDA.gov.

Recalls

FieldTypeDescription
recall_numbertextFDA's unique recall identifier.
recalling_firmtextCompany initiating the recall.
classificationtextClass I / II / III severity classification.
product_descriptiontextDescription of the recalled product, including NDC/lot info where public.
reason_for_recalltextFDA's stated reason for the recall.
distribution_patterntextGeographic distribution of the recalled product.
recall_initiation_datedateDate the recall was initiated.
report_datedateDate FDA published the recall record.
statustextOngoing / Completed / Terminated.

Approvals

FieldTypeDescription
brand_nametextApproved drug brand name.
sponsor_nametextApplicant/sponsor company.
application_typetextNDA / ANDA / BLA application pathway.
approval_datedateFDA approval date.
source_urlurlLink to the FDA approval record.

Companies (rollup)

FieldTypeDescription
nametextCanonical resolved company name.
slugtextArgus HQ URL slug for the company page.
warning_letter_countintegerTotal warning letters on record for this company.
recall_countintegerTotal recalls on record for this company.
approval_countintegerTotal approvals on record for this company.
inspection_483_countintegerTotal Form 483 inspection citations on record for this company.

What's included

  • Bulk CSV/JSON export of the full historical + ongoing FDA enforcement dataset (warning letters, recalls, approvals, 483 citations, company rollups).
  • Contracts from $5,000–$25,000/yr depending on refresh frequency, field coverage, and seat count.
  • Async support (email) — no forced sales calls to get a quote.
  • Custom fields and delivery formats available on request (webhook push, S3 drop, direct DB replica).

Data freshness SLA

Data is ingested within 24 hours of FDA publication. Historical coverage: Warning Letters 2010–present, Recalls 2010–present, Approvals 2015–present.

Email hello@argushq.ai for pricing. Tell us your use case and expected query volume and we'll reply with a quote — no forms, no phone number required. Async only, typical response same business day.

See also: methodology, data sources, and developer docs (MCP server, JSON APIs, OpenAPI spec, llms.txt) for how this data is collected, summarized, cited, and programmatically accessed.