a sample recommendation recall algorithm framework
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Updated
Sep 11, 2019 - Python
a sample recommendation recall algorithm framework
WELCOME TO THE PACK MFER!!! This app finds vehicle events and searches for vehicle recalls.
Vehicle safety data from NHTSA — recalls, complaints, crash ratings, investigations, VIN decoding.
Free, keyless JSON API for FDA recalls — drug, device and food enforcement reports (openFDA). Endpoints, search syntax, curl examples and filters.
A dashboard for analysis of food safety recalls.
Tiny, dependency-free Node.js client for public US recall APIs. Originally published 2015; rewritten 2026.
Clarissa - NHTSA Vehicle Safety Assistant. Get vehicle safety information, recalls, and complaints powered by AI.
MCP server for U.S. vehicle records: NHTSA recalls, service bulletins, trouble codes, VIN decode, EPA fuel economy and crash ratings. Free, no API key.
Search and retrieve US consumer product recalls from the CPSC (Consumer Product Safety Commission) via MCP. STDIO or Streamable HTTP.
MCP server giving AI agents real vehicle data — specs, federal recalls, and OBD-II DTC reference. npx -y carvector-mcp
One recall check across CPSC, FDA and NHTSA: match by name, model number, UPC or VIN.
SafeShelf Global: check any product listing before you pay. Is it safe, is it real? Recalls from 10 regulators, buyer hazard reports and fake-shop signs, on Gemini + Google ADK. Team Hashes, AI Builder Cup 2026.
FDA drug label answers with section citations, RxNorm name resolution, recalls and shortages.
Uses FDA API to return Drug Enforcement Recalls -- FDA Recall Enterprise System (RES) to show Class I (most serious) active recalls filtered to 3 years back as sometimes they leave them open for extended periods. It shows Drug Adverse Events (FAERS) for a specific med. It shows Food Enforcement Recalls from Allergens
Search official NHTSA safety recalls by vehicle make, model, and model-year range
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