> ## Documentation Index
> Fetch the complete documentation index at: https://docs.rhizomeai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# FDA Warning Letters

> Search filters and result fields of fda_warning_letters.

* **Dataset id:** `fda_warning_letters`
* **Jurisdiction:** US · FDA
* **Date field:** `date_issued`. The search's top-level `date_from` and `date_to` filter on it.
* **Access:** any API key.

## Filters

Send these under `filters.fda_warning_letters` in a [search](/api-reference/v3/search) request. A filter not listed here, or a value of the wrong type, is a 400. The top-level `date_from` and `date_to` set `date_issued_from` and `date_issued_to` below, so give a date in one place only.

<ParamField body="company" type="string">
  Keyword match on company name (BM25 tokenized). Example: 'Hospira'.
</ParamField>

<ParamField body="title" type="string">
  Keyword match on letter title (BM25 tokenized).
</ParamField>

<ParamField body="fda_org" type="string">
  Exact match on the issuing FDA organization/center. Free-text, NOT short codes: stored as full center names ('Center for Drug Evaluation and Research'), name+code variants ('Center for Drug Evaluation and Research | CDER', '... (CDER)'), and district/division offices ('Los Angeles District Office'). Exact match must reproduce the stored string exactly; for broad org filtering prefer keywords.
</ParamField>

<ParamField body="date_issued_from" type="string (date)">
  Inclusive lower bound on issue date (YYYY-MM-DD).
</ParamField>

<ParamField body="date_issued_to" type="string (date)">
  Inclusive upper bound on issue date (YYYY-MM-DD).
</ParamField>

## Fields

Each result from this dataset has these in `fields`:

`company`, `date_issued`, `date_posted`, `fda_org`, `title`, `url`


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