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Saylor Innovations Medical Reference – Drug Interaction Check
x402
Saylor Innovations Medical Reference – Drug Interaction Check is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-30).
Checks for drug-drug interactions by querying FDA label text for mentions of co-administered drugs
Price / call$0.003
Success—
StatusUnknown
How this service works
Drug Interaction Check from FDA Label Text. Check 2-5 drugs against each other using FDA label text: finds where one drug label names another drug, its ingredients, brands or drug class (SSRI, NSAID, statin...) in interaction, warning or contraindication sections, with excerpts. Reference only, not medical advice.
Output
Returns a JSON object containing an array of the queried drugs, a list of label_mentions showing where each drug appears in co-drug FDA label text, and an any_mentions boolean flag indicating whether any interactions were found. Each mention includes relevant excerpts from official FDA labeling.
Example use cases
Prescription safety check for patient
“My patient is currently taking metformin, lisinopril, and atorvastatin — can you check the FDA labels to see if any of those drugs have documented interactions with each other?”
OTC medication combination check
“Is it safe to take ibuprofen and acetaminophen together? Check the FDA label text for any interaction warnings between those two drugs.”
Polypharmacy review for elderly care
“Check the FDA label interactions between warfarin, digoxin, and amiodarone — I need to know if there are any mentions of these drugs interacting with each other in their official labels.”
Technical details
Endpoint
GEThttps://saylorinnovations.com/api/medical/interactions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to surface FDA-sourced, label-text-based drug interaction data for 2–5 drugs simultaneously. It is ideal for clinical decision support, pharmacist tools, or patient safety checks where official regulatory text is required. Prefer this over general drug databases when the source of truth must be the official FDA label rather than curated third-party interaction databases.
Side effects
- Missing or unrecognized drug names may return empty label_mentions with any_mentions set to false
- Fewer than 2 or more than 5 drug names may not be handled correctly
- Misspelled drug names may fail to match FDA database entries
- FDA label data may not cover very new or investigational drugs
- Rate limiting or payment failure may result in HTTP 402 or 429 responses
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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