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ForgeMesh US Food Recall Search
x402
ForgeMesh US Food Recall Search is a paid API for AI agents from x402.forgemesh.io, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Searches official US FDA enforcement reports by product keyword, returning structured recall details including severity class, reason, recalling firm, and distribution scope.
Price / call$0.01
Success—
StatusUnknown
How this service works
Official US food recall search: enforcement reports matching a product keyword with severity class, contamination or mislabeling reason, recalling firm, distribution pattern, and dates — newest first as structured JSON. Check ingredients, brands, or categories before recommending or purchasing.
Output
Returns a structured JSON array of matching FDA enforcement reports, each including recall number, product description, recalling firm, classification (Class I/II/III), contamination or mislabeling reason, distribution pattern (e.g. Nationwide), recall initiation date, report date, and current status. Also includes the original query echo and an attribution note explaining classification severity.
Example use cases
Pre-purchase food safety check
“I'm about to buy some almond flour in bulk. Can you check the FDA recall database to see if there are any active or recent recalls for almond products, especially for salmonella or contamination issues?”
Restaurant ingredient sourcing review
“We use romaine lettuce and spinach in our restaurant. Search the FDA food recalls for those greens and give me the latest 10 results so I can make sure none of our suppliers are affected.”
Grocery app recall alert integration
“A user just scanned a jar of tahini. Pull up the FDA enforcement reports for tahini recalls — up to 25 results — so I can warn them if the product or brand has any Class I or Class II recalls on record.”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/food-recallsWhen to prefer
Use this endpoint when you need structured, official US FDA recall data keyed to a specific product keyword, brand, or ingredient — especially before making purchase recommendations, populating food safety alerts, or auditing a supply chain. Prefer this over general web search when you need machine-readable severity classifications (Class I/II/III), firm names, and recall numbers in a predictable JSON schema rather than unstructured news articles.
Side effects
- No recalls found for obscure or misspelled product keywords — returns empty recalls array
- Rate limiting or payment failure if USDC payment is not processed correctly
- Invalid category enum value causes request rejection
- Limit parameter exceeding maximum of 25 returns validation error
- FDA source data may lag real-time announcements by hours or days
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| limit | integer | |
| query | string | product keyword, e.g. 'peanut' — empty returns newest in category |
| category | string | recall category (default food) |
Output
Schema · Response
{
"type": "json",
"example": {
"note": "classification: Class I = reasonable probability of serious harm; II = temporary/reversible harm; III = unlikely harm.",
"query": {
"query": "peanut",
"category": "food"
},
"recalls": [
{
"reason": "Potential Salmonella contamination",
"status": "Ongoing",
"report_date": "20260810",
"distribution": "Nationwide",
"recall_number": "F-1234-2026",
"classification": "Class I",
"recalling_firm": "Example Foods LLC",
"recall_initiated": "20260801",
"product_description": "Example Peanut Butter 16oz jars"
}
],
"returned": 3,
"attribution": "US FDA enforcement reports (public domain)"
}
}Tags
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