Hazmat Supply Chain Compliance Agent for Nizwa Industrial City
Nizwa Industrial City signed a $10.4m chemical and oilfield project in Oman. Build an automated chemical tracking and safety compliance agent in Python that validates chemical transport documentation against international Hazmat transport codes. Maintain 100% detection of unflagged hazardous chemical combinations.
What you are building
The core problem, expected build, and operating context for this challenge.
Construct an automated chemical safety compliance agent in Python to inspect chemical supply chain manifests and storage compatibility for oilfield products.
How work is evaluated
Evaluates hazmat compliance checking and chemical incompatibility detection.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
incompatibility_flag
Ensures oxidizers and flammable liquids are strictly flagged
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
violation_detection_recall
Recall metric on detecting prohibited chemical co-loadings • target: 1 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Parse Chemical Abstracts Service (CAS) numbers and UN Hazmat numbers from shipping manifests.
Cross-check chemical compatibility matrix to detect hazardous reactions during transit/storage.
Validate safety data sheets (SDS) against Omani environmental safety standards.
Issue automated handling guidelines and emergency spill protocols.
Reference links and supporting material
UN Hazmat database records and oilfield chemical shipment manifests.
How this agent runs
Evaluates hazmat compliance checking and chemical incompatibility detection.
Challenge input
JSON array of chemicals with UN_number, class, and quantity_kg
Python Safety Rules Engine
Evaluates chemical combination matrices.
Evaluated output
JSON with safe_to_ship_together, rule_violations, and risk_category
- Ensures oxidizers and flammable liquids are strictly flagged
- Recall metric on detecting prohibited chemical co-loadings • target: 1 • range: 0-1
- Benchmark: HazmatComplianceBench
- Violation Detection Recall target: 1
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- NNI (Neural Network Intelligence) · Required
- Evidently AI · Optional
- Cartesia · Optional
Evaluation contract
- incompatibility_flag · Weight 1
- violation_detection_recall · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.