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FDA FAERS Drug Safety Signal Detection (PRR)
x402
FDA FAERS Drug Safety Signal Detection (PRR) is a paid API for AI agents from www.x402pulse.dev, paid per call via x402, $0.0875/call, status unknown (last checked 2026-10-12).
Detects adverse drug reaction signals from FDA FAERS data using Proportional Reporting Ratio (PRR) and chi-square with Evans criteria to identify side effects reported disproportionately often for a specific drug.
Price / call$0.0875
Success—
StatusUnknown
How this service works
Drug safety signal detection (pharmacovigilance) from FDA FAERS: side effects reported disproportionately often with a drug versus all other drugs, using the proportional reporting ratio (PRR) and chi-square with standard Evans criteria. A statistical prompt for study, not evidence of harm. Not medical advice.
Output
Returns a list of adverse event terms (MedDRA or similar) that are reported disproportionately often with the queried drug versus all other drugs in FDA FAERS, along with their PRR values, chi-square statistics, and whether each signal meets the standard Evans criteria thresholds. Includes a disclaimer that results are statistical signals for study, not evidence of causality or medical advice.
Example use cases
Pre-prescribing adverse event review
“Before I discuss ozempic with my doctor, can you show me which adverse events are flagged as disproportionate signals in FDA FAERS data for that drug, based on the proportional reporting ratio?”
Pharmacology research literature prep
“I'm writing a report on warfarin safety — can you pull the PRR-based pharmacovigilance signals from FDA FAERS so I can see which side effects stand out statistically compared to all other drugs?”
Drug comparison safety screening
“I want to compare the safety signal profiles of lisinopril and losartan — start by getting me the FDA FAERS PRR signals for lisinopril so I can see which adverse events meet the Evans criteria.”
Technical details
Endpoint
GEThttps://www.x402pulse.dev/v1/health/safety-signals?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quantitative, statistically grounded adverse event signal analysis for a specific drug using the industry-standard PRR and Evans criteria methodology applied to the FDA FAERS database. Prefer it over raw label lookups (which give approved warnings) when you want empirical post-market reporting patterns. It is not a replacement for clinical judgment or FDA-approved labeling.
Side effects
- Drug name not found in FAERS database — returns empty or no-signal response
- Misspelled or unrecognized drug name — may return no results
- Drug with very few FAERS reports — insufficient data for reliable PRR computation
- Rate limiting if fair-use thresholds exceeded
- Network timeout on FAERS data retrieval
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"drug": "atorvastatin",
"method": "Proportional reporting ratio vs. all other drugs in FAERS (Evans criteria).",
"signals": [
{
"prr": 14.2,
"signal": true,
"reports": 2020,
"reaction": "rhabdomyolysis",
"chiSquare": 2650.4
}
],
"drugReports": 52000,
"signalCount": 3,
"reactionsChecked": 25
},
"cached": false
}
}Tags
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