Profiles Assist APIs

predictor_all_wpcs

POST/api/v1/predictor_all_wpcs/classify/

Overview: ¶

The predictor_all_wpcs endpoint is a machine learning-based classification service that predicts the most suitable Waste Profile Codes (WPC) for waste materials based on their chemical and physical properties. This POST endpoint accepts detailed information about a waste profile including its composition, physical states, hazardous properties, regulatory classifications, and shipping requirements. The service analyzes these parameters to recommend appropriate WPC classifications with confidence percentages, helping waste management professionals accurately categorize waste materials for proper handling, transportation, and disposal in compliance with environmental regulations. The response provides a ranked list of the most probable WPC matches, allowing users to make informed decisions about waste classification

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "qa": {
    "Profile_Name": "Lab Waste",
    "ChemicalPhysicalComposion": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid",
    "PCPColor": "yellow",
    "PCPOdor": "Strong",
    "PCPOdor_Radio_Plus_Option": "",
    "PCPBTUValue": "Other",
    "PCPBTU_Radio_Plus_Option": "",
    "PCPViscosity": "101 - 500",
    "PCPViscosity_Radio_Plus_Option": "",
    "PCPDensity": "1.00",
    "PCpH": "2",
    "PCFlashPoint": "≥ 200°F",
    "PCPhysicalStateSolid2": "No",
    "PCPPhysicalStateLiquid2": "Yes",
    "PCPPhysicalStateSludge2": "No",
    "PCPPhysicalStateGas2": "No",
    "PCPPhysicalStateAsh2": "Yes",
    "PCPPhysicalStatePowder2": "No",
    "PCPPhysicalStateSolidPercent": "49",
    "PCPPhysicalStateLiquidPercent": "0",
    "PCPPhysicalStateSludgePercent": "51",
    "PCPPhysicalStateGasPercent": "0",
    "PCPPhysicalStateAshPercent": "0",
    "PCPPhysicalStatePowderPercent": "0",
    "PCPOtherPropertiesExplosive": "No",
    "PCPOtherPropertiesRadioactive": "Yes",
    "PCPOtherPropertiesThermallyUnstable": "No",
    "PCPOtherPropertiesShockSensitive": "No",
    "PCPOtherPropertiesPyrophoric": "No",
    "PCPOtherPropertiesOxidizer": "No",
    "PCPOtherPropertiesWaterReactive": "Yes",
    "PCPOtherPropertiesAirReactive": "No",
    "PCPOtherPropertiesReactiveCyanides": "No",
    "PCPOtherPropertiesReactiveSulfides": "No",
    "PCPOtherPropertiesPolymerizable": "Yes",
    "PCPOtherPropertiesPolymerizableInhibited": "Yes",
    "PCPOtherPropertiesAbestosFriable": "No",
    "PCPOtherPropertiesAbestosNonFriable": "No",
    "PCPOtherPropertiesMetalFines": "No",
    "PCPOtherPropertiesOrganaicPeroxides": "No",
    "PCPOtherPropertiesDioxins": "No",
    "PCPOtherPropertiesFurans": "No",
    "PCPOtherPropertiesNORM": "No",
    "PCPOtherPropertiesBiohazard": "No",
    "PCPOtherPropertiesNONE": "Yes",
    "RegulatoryRestrictedUnderLDR": "No",
    "RegulatoryUHCs": "No",
    "Regulatory500PPMVOC": "Yes",
    "RegulatoryAlternativeStandardsofSoil": "No",
    "RegulatoryLDRSubcategory": "Yes",
    "PCPPhysicalStateSemiSolid2": "No",
    "PCPPhysicalStateSemiSolidPercent": "",
    "PCFlashPoint_Actual": "",
    "PCFlashPoint_Radio_Plus_Actual": "",
    "PCFlashPoint_Method": "Closed Cup",
    "PCNumberOfPhases_Layer": "1",
    "PCNumberOfPhases_Layer_Bot": "",
    "PCNumberOfPhases_Layer_Mid": "",
    "PCNumberOfPhases_Layer_Top": "",
    "PCPOtherPropertiesPesticides": "No",
    "PCPOtherPropertiesReactiveCyanides_Range": "",
    "PCPOtherPropertiesReactiveSulfides_Range": "",
    "pc_ph_radio_plus_option": "",
    "subfield_for_copy": "",
    "other_option": "",
    "pcpodor_strong_select": "",
    "WasteStreamDescription": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
    "ProcessGeneratingTheWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
    "oilContaminatedPcb": "Acetone",
    "CAS": "67-64-1",
    "Typical": "1",
    "Min": "5",
    "Max": "",
    "UnitType": "Vol %",
    "ShippingAndPackagingVolume": "1",
    "ShippingAndPackagingVolumeType": "",
    "ShippingAndPackagingFrequency": "One Time",
    "ShippingAndPackagingUSDOT": "Yes",
    "ShippingAndPackagingUSDOTComment": "NONRCRA / NONDOT REGULATED MATERIAL (New Profile #207954)",
    "fddShippingName": "",
    "fddHazClass": "",
    "fddSubClass": "",
    "fddPG": "",
    "fddERG": "",
    "fddRQ": "",
    "fddTechName": "",
    "fddDOTNotesSpecialPermits": "",
    "GenericFlag": "Yes",
    "RQFlag": "No",
    "MixtureFlag": "Yes",
    "SolutionFlag": "No",
    "ShippingAndPackagingWasteCombination": "Yes",
    "TransBulkLiquid_Gallons": "",
    "TransBulkSolid_ShipmentUOM": "",
    "TransBulkSolid_TonYardShipment": "",
    "TransBulkType_Other": "No",
    "TransBulkType_OtherDesc": "",
    "TransBulkType_Railcar": "No",
    "TransBulkType_RollOff": "No",
    "TransBulkType_TankTruck": "No",
    "TransBulkType_VacBox": "No",
    "TransContainer_BoxCartonCase": "No",
    "TransContainer_CubicYardBox": "No",
    "TransContainer_Drum": "No",
    "TransContainer_DrumSize": "",
    "TransContainer_Other": "No",
    "TransContainer_OtherDesc": "",
    "TransContainer_PortableToteTank": "No",
    "TransContainer_Shipment": "",
    "TransContainer_StorageCap": "",
    "TransportationRequirement": "Containerized",
    "shipping_packaging_frequency_plus_option": "",
    "TransContainer_PortToteTankSize": "",
    "InnerContainerSizes": "",
    "WCSolidWaste": "",
    "WCSolidWasteComment": "",
    "WCHazardous": "Yes",
    "WCHazardousComment": "",
    "WCHazardousF": "No",
    "hazardouswastenof": "",
    "WCHazardousK": "No",
    "hazardouswastenok": "",
    "WCHazardousP": "No",
    "hazardouswastenop": "",
    "WCHazardousU": "No",
    "hazardouswastenou": "",
    "WCHazardousToxic": "Yes",
    "hazardouswastenod": "",
    "WCHazardousIgnitable": "No",
    "WCHazardousCorrosive": "Yes",
    "WCHazardousReactive": "Yes",
    "StateWasteCode": "TEST",
    "UniversalWaste": "No",
    "UsedOil": "No",
    "TSCARegulatedPCBWaste": "No",
    "HazardousWaste": "Yes",
    "RCRAExempt": "No",
    "RCRAExemptYesReason": "",
    "CERCLARegulatedWaste": "No",
    "BenzeneNESHAPWaste": "No",
    "HalogenatedOrganicCompound": "No",
    "OriginCode": "1 - Was generated on-site from a product or service activity.",
    "EPAFormCode": "W203 - CONCENTRATED NON-HALOGENATED (E.G. NON-CHLORINATED) SOLVENT",
    "WasteDeterminationBasedOn": "",
    "WasteDetermination_GenKnowledge": "Yes",
    "WasteDetermination_SDS": "No",
    "WasteDetermination_WasteAnylysis": "No",
    "Analysis_Date": "",
    "CaliforniaStateWasteCode": "",
    "EPASourceCode": "G09 - OTHER PRODUCTION OR SERVICE-RELATED PROCESSES",
    "IsNoSampleTaken": "No",
    "Is_US_EPA40_CFR26120": "",
    "SampleDate": "",
    "SampleIDNo": "",
    "SamplersName": "",
    "SamplersSignature": "",
    "TypeOfSample": "",
    "StateUniversalWaste": "No",
    "UniversalWasteType": "",
    "federal_universal_waste_type": "",
    "StateWasteCodeDiscFacList": "None",
    "product_or_coproduct": "No",
    "recycle_or_reuse": "No",
    "OneTimeNumberNeeded": "2.12%",
    "MedicalWaste": "No",
    "regulatory_information_edited_fields": ""
  }
}

Content-Type: application/json

[
  {
    "wpc": 2009,
    "percentage": "99.96%"
  },
  {
    "wpc": 3022,
    "percentage": "0.02%"
  },
  {
    "wpc": 2012,
    "percentage": "0.01%"
  }
]

hazardousWaste

POST/api/v1/pcp_predictor/hazardousWaste/classify/

Overview: ¶

The hazardousWaste endpoint is a machine learning-based prediction service that analyzes waste material information to determine its hazardous classification status. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against regulatory criteria and predicts three key classification indicators: whether the material qualifies as Hazardous Waste under environmental regulations, if it’s exempt from Resource Conservation and Recovery Act (RCRA) requirements, and if it meets specific Waste Classification (WC) hazardous criteria. The response provides a clear yes/no determination for each classification category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "HazardousWaste": "Yes"
  },
  {
    "RCRAExempt": "No"
  },
  {
    "WCHazardous": "No"
  }
]

phyChemRegulatory

POST/api/v1/pcp_predictor/phyChemRegulatory/classify/

Overview: ¶

The phyChemRegulatory endpoint is a machine learning-based prediction service that analyzes waste material information to determine its regulatory classification status. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against regulatory criteria and predicts five key classification indicators: whether the material qualifies as Restricted Under LDR, if it’s UHCs, if it’s < 500 PPM VOC, if it’s Alternative Standards of Soil, and if it’s LDR Subcategory. The response provides a clear yes/no determination for each classification category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "Restricted Under LDR": "Yes"
  },
  {
    "UHCs": "No"
  },
  {
    "< 500 PPM VOC": "Yes"
  },
  {
    "Alternative Standards of Soil": "No"
  },
  {
    "LDR Subcategory": "Non Wastewater"
  }
]

chemRegulatory

POST/api/v1/pcp_predictor/chemRegulatory/classify/

Overview: ¶

The chemRegulatory endpoint is a machine learning-based prediction service that analyzes waste material information to determine its hazardous classification status. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against regulatory criteria and predicts eight key classification indicators: whether the material qualifies as Hazardous Waste under environmental regulations, if it’s exempt from Resource Conservation and Recovery Act (RCRA) requirements, if it meets specific Waste Classification (WC) hazardous criteria, if it’s ignitable, if it’s corrosive, if it’s reactive, if it’s toxic, and if it’s hazardous. The response provides a clear yes/no determination for each classification category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "WCHazardousF": "No"
  },
  {
    "WCHazardousK": "No"
  },
  {
    "WCHazardousP": "No"
  },
  {
    "WCHazardousU": "No"
  },
  {
    "WCHazardousIgnitable": "Yes"
  },
  {
    "WCHazardousCorrosive": "Yes"
  },
  {
    "WCHazardousReactive": "No"
  },
  {
    "WCHazardousToxic": "No"
  }
]

phyState

POST/api/v1/pcp_predictor/phyState/classify/

Overview: ¶

The phyState endpoint is a machine learning-based prediction service that analyzes waste material information to determine its physical state. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against physical state criteria and predicts the physical state of the waste. The response provides a clear percentage for each physical state category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "Solid": "59.72%"
  },
  {
    "Liquid": "40.28%"
  },
  {
    "Gas": "0.00%"
  },
  {
    "Sludge": "0.00%"
  },
  {
    "Ash": "0.00%"
  },
  {
    "Powder": "0.00%"
  }
]

otherProps

POST/api/v1/pcp_predictor/otherProps/classify/

Overview: ¶

The otherProps endpoint is a machine learning-based prediction service that analyzes waste material information to determine its other properties. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against other properties criteria and predicts the other properties of the waste. The response provides a clear percentage for each other properties category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "NumberOfPhases_Layer": 2
  },
  {
    "NONE": "97.63%"
  },
  {
    "Oxidizer": "0.56%"
  },
  {
    "WaterReactive": "0.44%"
  },
  {
    "Labpack": "0.37%"
  },
  {
    "Explosive": "0.30%"
  },
  {
    "Biohazard": "0.11%"
  },
  {
    "ReactiveSulfides": "0.09%"
  },
  {
    "OrganaicPeroxides": "0.08%"
  },
  {
    "NORM": "0.05%"
  },
  {
    "ThermallyUnstable": "0.04%"
  },
  {
    "ShockSensitive": "0.04%"
  },
  {
    "Pesticides": "0.03%"
  },
  {
    "ReactiveCyanides": "0.03%"
  },
  {
    "Polymerizable": "0.02%"
  },
  {
    "AirReactive": "0.02%"
  },
  {
    "Pyrophoric": "0.02%"
  },
  {
    "Furans": "0.02%"
  },
  {
    "Dioxins": "0.01%"
  },
  {
    "AbestosFriable": "0.01%"
  },
  {
    "Radioactive": "0.01%"
  },
  {
    "MetalFines": "0.01%"
  }
]

chem

POST/api/v1/pcp_predictor/chem/classify/

Overview: ¶

The chem endpoint is a machine learning-based prediction service that analyzes waste material information to determine its chemical properties. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against chemical properties criteria and predicts the chemical properties of the waste. The response provides a clear percentage for each chemical properties category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "PCPViscosity": "> 10000"
  },
  {
    "PCPBTUValue": "5000 - 10000"
  },
  {
    "PCpH": "≤ 2"
  },
  {
    "PCFlashPoint": "< 73°F"
  },
  {
    "PCFlashPoint_Method": "Closed Cup"
  }
]

regulatoryClassification

POST/api/v1/pcp_predictor/regulatoryClassification/classify/

Overview: ¶

The regulatoryClassification endpoint is a machine learning-based prediction service that analyzes waste material information to determine its regulatory classification status. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against regulatory classification criteria and predicts the regulatory classification of the waste. The response provides a clear percentage for each regulatory classification category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "HalogenatedOrganicCompound": "2.17%"
  },
  {
    "OneTimeNumberNeeded": "1.47%"
  },
  {
    "MedicalWaste": "0.26%"
  },
  {
    "BenzeneNESHAPWaste": "0.24%"
  },
  {
    "CERCLARegulatedWaste": "0.22%"
  },
  {
    "TSCARegulatedPCBWaste": "0.12%"
  },
  {
    "product_or_coproduct": "0.11%"
  },
  {
    "UsedOil": "0.03%"
  },
  {
    "recycle_or_reuse": "0.03%"
  },
  {
    "StateUniversalWaste": "0.02%"
  },
  {
    "UniversalWaste": "0.02%"
  }
]

regulatoryEPA

POST/api/v1/pcp_predictor/regulatoryEPA/classify/

Overview: ¶

The regulatoryEPA endpoint is a machine learning-based prediction service that analyzes waste material information to determine its EPA regulatory classification status. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against EPA regulatory classification criteria and predicts the EPA regulatory classification of the waste. The response provides a clear percentage for each EPA regulatory classification category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "EPASourceCode": "G22"
  },
  {
    "OriginCode": "1"
  },
  {
    "EPAFormCode": "W002"
  }
]

shippingInfo

POST/api/v1/pcp_predictor/shippingInfo/classify/

Overview: ¶

The shippingInfo endpoint is a machine learning-based prediction service that analyzes waste material information to determine its shipping and packaging information. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against shipping and packaging criteria and predicts the shipping and packaging information of the waste. The response provides a clear percentage for each shipping and packaging category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "ShippingAndPackagingFrequency": "Other"
  },
  {
    "ShippingAndPackagingWasteCombination": "Yes"
  },
  {
    "TransportationRequirement": "Containerized"
  }
]

landBan

POST/api/v1/pcp_predictor/landBan/classify/

Overview: ¶

The landBan endpoint is a machine learning-based prediction service that analyzes waste material information to determine its land ban status. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against land ban criteria and predicts the land ban status of the waste. The response provides a clear percentage for each land ban category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "TreatmentStandard": "E"
  }
]

UNNumberAndPG

POST/api/v1/pcp_predictor/UNNumberAndPG/classify/

Overview: ¶

The UNNumberAndPG endpoint is a machine learning-based prediction service that analyzes waste material information to determine its UN number and PG. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against UN number and PG criteria and predicts the UN number and PG of the waste. The response provides a clear percentage for each UN number and PG category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "UN Number": "UN1263"
  },
  {
    "PG": "PG II"
  }
]

USDOT

POST/api/v1/pcp_predictor/USDOT/classify/

Overview: ¶

The USDOT endpoint is a machine learning-based prediction service that analyzes waste material information to determine its USDOT status. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against USDOT criteria and predicts the USDOT status of the waste. The response provides a clear percentage for each USDOT category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "ShippingAndPackagingUSDOT": "Yes"
  }
]

chemColorOdor

POST/api/v1/pcp_predictor/chemColorOdor/classify/

Overview: ¶

The chemColorOdor endpoint is a machine learning-based prediction service that analyzes waste material information to determine its color, odor, boiling point, total organic carbon, viscosity, and specific gravity. This POST endpoint accepts basic profile data including the profile name, process description that generated the waste, and the chemical/physical composition of the material. Based on this information, the service evaluates the waste against color, odor, boiling point, total organic carbon, viscosity, and specific gravity criteria and predicts the color, odor, boiling point, total organic carbon, viscosity, and specific gravity of the waste. The response provides a clear percentage for each color, odor, boiling point, total organic carbon, viscosity, and specific gravity category, helping waste management professionals make accurate regulatory compliance decisions without requiring extensive manual analysis of complex waste properties

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "Color": "varies"
  },
  {
    "Odor": "Mild"
  },
  {
    "Boiling Point": "N/A"
  },
  {
    "Total Organic Carbon": "N/A"
  },
  {
    "Viscosity": "Other"
  },
  {
    "Specific Gravity": "1.00"
  }
]

abiEnv

POST/api/v1/aip_predictor/abiEnv/classify/

Overview: ¶

The abiEnv endpoint is a machine learning-based prediction service that analyzes waste material information to determine Abilene Environmental-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts Abilene Environmental-specific information such as disposal facility details (ID: 9785), template selection (“Abilene Environmental”), and regulatory compliance indicators. The response provides structured data including facility details, template name, and various compliance flags to help brokers make informed decisions about waste handling and disposal at Abilene Environmental facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "DisposalFacility_id": 9785
  },
  {
    "DisposalFacility Name": "Abilene Environmental Landfill, Inc."
  },
  {
    "Template Name": "Abilene Environmental"
  },
  {
    "FreeLiquid": "No"
  },
  {
    "MunicipalGenerator": "No"
  },
  {
    "RepresentativeSampleIAW40CFR": "No"
  },
  {
    "SupplementalInformation": "MSDS,Process Knowledge"
  },
  {
    "SupplementalInformation_NumberPages": "16.49"
  },
  {
    "WaterContentbyVolume": ""
  }
]

calvertCity

POST/api/v1/aip_predictor/calvertCity/classify/

Overview: ¶

The calvertCity endpoint is a machine learning-based prediction service that analyzes waste material information to determine Clean Earth of Calvert City-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts Calvert City-specific information such as disposal facility details (ID: 21691), template selection (“Clean Earth of Calvert City”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at Clean Earth of Calvert City facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[{"DisposalFacility_id": 21691}, {"DisposalFacility Name": "Clean Earth of Calvert City"}, {"Template Name": "Clean
Earth of Calvert City"}, {"arsenic": ""}, {"arsenic_above": ""}, {"arsenic_below": ""}, {"barium": ""}, {"barium_above":
""}, {"barium_below": ""}, {"boiling_point": "> 95"}, {"cadmium": ""}, {"cadmium_above": ""}, {"cadmium_below": ""},
{"calvert_liquids": ""}, {"calvert_solids": ""}, {"checkbox_qty_1": ""}, {"checkbox_qty_10": ""}, {"checkbox_qty_2":
""}, {"checkbox_qty_3": ""}, {"checkbox_qty_4": "no"}, {"checkbox_qty_5": ""}, {"checkbox_qty_6": ""},
{"checkbox_qty_7": ""}, {"checkbox_qty_8": ""}, {"checkbox_qty_9": ""}, {"chromium": ""}, {"chromium_above": ""},
{"chromium_below": ""}, {"copper": ""}, {"copper_above": ""}, {"copper_below": ""}, {"Density_foot": ""}, {"Density_us":
""}, {"dermal_toxicity": ""}, {"dry_weight": ""}, {"Halogens_calvert": ""}, {"lead": ""}, {"lead_above": ""},
{"lead_below": ""}, {"Marine_Pollutant": "no"}, {"Material_poisonous": "no"}, {"mercury": ""}, {"mercury_above": ""},
{"mercury_below": ""}, {"nickel": ""}, {"nickel_above": ""}, {"nickel_below": ""}, {"None_Metals": "no"},
{"oral_toxicity": ""}, {"other_component": ""}, {"other_metal": ""}, {"ozone_depleting": "no"}, {"Phenolics_calvert":
""}, {"ppm_VOC": "no"}, {"pumpable": "no"}, {"qty_1": ""}, {"qty_10": ""}, {"qty_2": ""}, {"qty_3": ""}, {"qty_4": ""},
{"qty_5": ""}, {"qty_6": ""}, {"qty_7": ""}, {"qty_8": ""}, {"qty_9": ""}, {"scrap_metal": "no"}, {"selenium": ""},
{"selenium_above": ""}, {"selenium_below": ""}, {"silver": ""}, {"silver_above": ""}, {"silver_below": ""}, {"TCLP":
"no"}, {"TOTAL_PPM": "no"}, {"vented_drums": "no"}, {"Zinc": ""}, {"Zinc_above": ""}, {"Zinc_below": ""}]

cleanEarth

POST/api/v1/aip_predictor/cleanEarth/classify/

Overview: ¶

The cleanEarth endpoint is a machine learning-based prediction service that analyzes waste material information to determine Clean Earth-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts Clean Earth-specific information such as disposal facility details (ID: 9946), template selection (“Clean Earth”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at Clean Earth facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "DisposalFacility_id": 9946
  },
  {
    "DisposalFacility Name": "Philip Reclamation Services Houston, LLC"
  },
  {
    "Template Name": "Clean Earth"
  },
  {
    "Acids_or_bases": ""
  },
  {
    "larger_shipping": ""
  },
  {
    "Metal_and_Plastic": ""
  },
  {
    "new_clean_earth_ABarium_text": ""
  },
  {
    "new_clean_earth_Ammonia": "0"
  },
  {
    "new_clean_earth_Arsenic": "0"
  },
  {
    "new_clean_earth_Arsenic_text": ""
  },
  {
    "new_clean_earth_Asbestos": "No"
  },
  {
    "new_clean_earth_Ash": "<10"
  },
  {
    "new_clean_earth_Barium": "0"
  },
  {
    "new_clean_earth_Benzene_PPM": ""
  },
  {
    "new_clean_earth_Cadmium": "0"
  },
  {
    "new_clean_earth_Cadmium_text": ""
  },
  {
    "new_clean_earth_Chromium": "0"
  },
  {
    "new_clean_earth_Chromium_text": ""
  },
  {
    "new_clean_earth_Copper_text": ""
  },
  {
    "new_clean_earth_Explosive": "No"
  },
  {
    "new_clean_earth_Free_Liquids": "90-100"
  },
  {
    "new_clean_earth_Halogens": ""
  },
  {
    "new_clean_earth_Lead": "0"
  },
  {
    "new_clean_earth_Lead_text": ""
  },
  {
    "new_clean_earth_Mercury_TCLP": "0"
  },
  {
    "new_clean_earth_Mercury_TCLP_text": ""
  },
  {
    "new_clean_earth_Mercury_Total": "0"
  },
  {
    "new_clean_earth_Mercury_Total_text": ""
  },
  {
    "new_clean_earth_Nickel_text": ""
  },
  {
    "new_clean_earth_Organic_Carbons": ""
  },
  {
    "new_clean_earth_PCB": "0"
  },
  {
    "new_clean_earth_Phenolics": "0"
  },
  {
    "new_clean_earth_Pumpable": "no"
  },
  {
    "new_clean_earth_Selenium": "0"
  },
  {
    "new_clean_earth_Selenium_text": ""
  },
  {
    "new_clean_earth_Silver": "0"
  },
  {
    "new_clean_earth_Silver_text": ""
  },
  {
    "new_clean_earth_Thallium_text": ""
  },
  {
    "new_clean_earth_Zinc_text": ""
  }
]

cleanHarbor

POST/api/v1/aip_predictor/cleanHarbor/classify/

Overview: ¶

The cleanHarbor endpoint is a machine learning-based prediction service that analyzes waste material information to determine Clean Harbors-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts Clean Harbors-specific information such as disposal facility details (ID: 9824), template selection (“Clean Harbors”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at Clean Harbors facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[{"DisposalFacility_id": 9824}, {"DisposalFacility Name": "Clean Harbors Deer Park, L.P."}, {"Template Name": "Clean
Harbor"}, {"AsbestosWaste": ""}, {"Ash": ""}, {"BenzeneUSEPAHazardousWaste": "No"}, {"BoilingPoint": ">= 130"},
{"CanadianProvincialWasteCodes": "No"}, {"CanadianProvincialWasteCodes_Answer": ""}, {"ChemicalDisinfection": ""},
{"CleanHarborsBattery": ""}, {"DividedForm": "No"}, {"HeavyGuageMetalDebris": "No"}, {"HOCs": ""},
{"InfectiousMaterial": ""}, {"KnowledgeDescription": ""}, {"KnowledgeWaste": "Knowledge"}, {"Liquid100": "No"},
{"MeltingPoint": ">200"}, {"NESHAPRules": "No"}, {"OrganicConstituentsWaste3KPA": "No"},
{"OrganicConstituentsWaste77KPA": "No"}, {"OtherInfectiousMaterial": "No"}, {"PCBs": ""},
{"RCRAExemptCommercialProduct": "No"}, {"SICCodesWasteStream": "No"}, {"StateWasteCodes": "No"},
{"StateWasteCodes_Answer": ""}, {"TABQuantity": ""}, {"TABWasteStream": ""}, {"TexasWasteCode": ""},
{"TotalOrganicCarbon": ">= 10%"}, {"TreatmentWaste": "No"}, {"UndisclosedHazards": "No"}, {"VOCWaste": "No"},
{"WasteStreamSubject": "No"}]

giantResource

POST/api/v1/aip_predictor/giantResource/classify/

Overview: ¶

The giantResource endpoint is a machine learning-based prediction service that analyzes waste material information to determine Giant Resource Recovery-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts Giant Resource Recovery-specific information such as disposal facility details (ID: 9787), template selection (“Giant Resource”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at Giant Resource Recovery facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "DisposalFacility_id": 9787
  },
  {
    "DisposalFacility Name": "Giant Resource Recovery-Attalla, Inc"
  },
  {
    "Template Name": "Giant Resource"
  },
  {
    "ANTIMONY": ""
  },
  {
    "ANTIMONY_RANGE": ""
  },
  {
    "ARSENIC": ""
  },
  {
    "ARSENIC_RANGE": ""
  },
  {
    "BARIUM": ""
  },
  {
    "BARIUM_RANGE": ""
  },
  {
    "BERYLLIUM": ""
  },
  {
    "BERYLLIUM_RANGE": ""
  },
  {
    "CADMIUM": ""
  },
  {
    "CADMIUM_RANGE": ""
  },
  {
    "Centipoises": ""
  },
  {
    "CHROMIUM": ""
  },
  {
    "CHROMIUM_RANGE": ""
  },
  {
    "ID_NO": ""
  },
  {
    "LEAD": ""
  },
  {
    "LEAD_RANGE": ""
  },
  {
    "MERCURY": ""
  },
  {
    "MERCURY_RANGE": ""
  },
  {
    "Metal_None": "None"
  },
  {
    "METAL_TCLP": ""
  },
  {
    "METAL_TOTAL": ""
  },
  {
    "NICKEL": ""
  },
  {
    "NICKEL_RANGE": ""
  },
  {
    "OTHER_HALOGENS": ""
  },
  {
    "OTHER_PPM": ""
  },
  {
    "OTHER_PPM_PERCENT": ""
  },
  {
    "OTHER_SULFUR": ""
  },
  {
    "PagesAttached": ""
  },
  {
    "SELENIUM": ""
  },
  {
    "SELENIUM_RANGE": ""
  },
  {
    "SHIPPING_HAZARD1": ""
  },
  {
    "SHIPPING_HAZARD2": ""
  },
  {
    "SICCode": ""
  },
  {
    "SILVER": ""
  },
  {
    "SILVER_RANGE": ""
  },
  {
    "THALLIUM": ""
  },
  {
    "THALLIUM_RANGE": ""
  },
  {
    "TRANSPORTER": ""
  },
  {
    "WaterDissolved": "0"
  },
  {
    "WaterFreeLayer": "2"
  }
]

NSSI

POST/api/v1/aip_predictor/NSSI/classify/

Overview: ¶

The NSSI endpoint is a machine learning-based prediction service that analyzes waste material information to determine NSSI-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts NSSI-specific information such as disposal facility details (ID: 9942), template selection (“NSSI”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at NSSI facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[{"DisposalFacility_id": 9942}, {"DisposalFacility Name": "NSSI RECOVERY SERVICES"}, {"Template Name": "NSSI"},
{"NSSI_HazardousCharacteristics_StateHazardousWaste": "No"}, {"NSSI_Metals_Analytical": ""}, {"NSSI_Metals_Arsenic":
"0"}, {"NSSI_Metals_Barium": "0"}, {"NSSI_Metals_Cadmium": "0"}, {"NSSI_Metals_Chromium": "0"},
{"NSSI_Metals_Chromium_Hex": "0"}, {"NSSI_Metals_Copper": "0"}, {"NSSI_Metals_GeneratorKnowledge": "GENERATOR
KNOWLEDGE"}, {"NSSI_Metals_Lead": "0"}, {"NSSI_Metals_Mercury": "0"}, {"NSSI_Metals_Nickel": "0"}, {"NSSI_Metals_Other":
""}, {"NSSI_Metals_Selenium": "0"}, {"NSSI_Metals_Silver": "0"}, {"NSSI_Metals_TCLP": ""}, {"NSSI_Metals_Thallium":
"0"}, {"NSSI_Metals_Total": ""}, {"NSSI_Metals_Zinc": "0"}, {"NSSI_Other_Analytical": ""}, {"NSSI_Other_Chlorides":
"0"}, {"NSSI_Other_Cyandies": "0"}, {"NSSI_Other_Fluorides": "0"}, {"NSSI_Other_GeneratorKnowledge": "GENERATOR
KNOWLEDGE"}, {"NSSI_Other_NA_K": "0"}, {"NSSI_Other_PCBS": "0"}, {"NSSI_Other_Phenolics": "0"},
{"NSSI_Other_Phosphates": "0"}, {"NSSI_Other_Sulfides": "0"}, {"NSSI_Other_TCLP": ""}, {"NSSI_Other_Total": ""}]

pacificResourceRecovery

POST/api/v1/aip_predictor/pacificResourceRecovery/classify/

Overview: ¶

The pacificResourceRecovery endpoint is a machine learning-based prediction service that analyzes waste material information to determine Pacific Resource Recovery-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts Pacific Resource Recovery-specific information such as disposal facility details (ID: 22505), template selection (“Pacific Resource Recovery”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at Pacific Resource Recovery facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "DisposalFacility_id": 22505
  },
  {
    "DisposalFacility Name": "Pacific Resource Recovery Services"
  },
  {
    "Template Name": "Pacific Resource Recovery"
  },
  {
    "PACIFIC_AMINES_PERCENT": ""
  },
  {
    "PACIFIC_ANTICIPATED_VOLUME_DRUMS": ""
  },
  {
    "PACIFIC_ANTICIPATED_VOLUME_GALLONS": "52"
  },
  {
    "PACIFIC_ARSENIC_RANGE": ""
  },
  {
    "PACIFIC_BARIUM_RANGE": ""
  },
  {
    "PACIFIC_BIOLOGICAL": ""
  },
  {
    "Pacific_BTU_1": "No"
  },
  {
    "Pacific_BTU_2": "No"
  },
  {
    "PACIFIC_BTU_PERCENT": ""
  },
  {
    "PACIFIC_CADMIUM_RANGE": ""
  },
  {
    "PACIFIC_CHROMIUM_HEX_RANGE": ""
  },
  {
    "PACIFIC_CHROMIUM_RANGE": ""
  },
  {
    "PACIFIC_COMBUSTIBLE": ""
  },
  {
    "PACIFIC_COMPOSITION": ""
  },
  {
    "PACIFIC_COPPER_RANGE": ""
  },
  {
    "PACIFIC_CORROSIVE": ""
  },
  {
    "PACIFIC_CYANIDES_PERCENT": ""
  },
  {
    "PACIFIC_ETIOLOGICAL": ""
  },
  {
    "PACIFIC_FLAMMABLE": "No"
  },
  {
    "PACIFIC_LEAD_RANGE": ""
  },
  {
    "PACIFIC_MERCURY_RANGE": ""
  },
  {
    "Pacific_Metal_NA": "No"
  },
  {
    "PACIFIC_NESHAP": "No"
  },
  {
    "PACIFIC_NICKEL_RANGE": ""
  },
  {
    "PACIFIC_OTHER": ""
  },
  {
    "PACIFIC_OTHER_RANGE": ""
  },
  {
    "PACIFIC_OTHER_VALUE": ""
  },
  {
    "PACIFIC_PATHOGEN": ""
  },
  {
    "PACIFIC_PCBs_PERCENT": ""
  },
  {
    "PACIFIC_PESTICIDE_RESIDUALS": ""
  },
  {
    "PACIFIC_PHENOLICS_PERCENT": ""
  },
  {
    "PACIFIC_SELENIUM_RANGE": ""
  },
  {
    "Pacific_SHIPMENT_BULK_LIQUID": ""
  },
  {
    "Pacific_SHIPMENT_BULK_LIQUID_PERCENT": ""
  },
  {
    "Pacific_SHIPMENT_DRUM": "No"
  },
  {
    "Pacific_SHIPMENT_DRUM_PERCENT": "55"
  },
  {
    "PACIFIC_SILVER_RANGE": ""
  },
  {
    "PACIFIC_SULFIDES_PERCENT": ""
  },
  {
    "Pacific_TCLP_PPM": ""
  },
  {
    "PACIFIC_THALLIUM_RANGE": ""
  },
  {
    "PACIFIC_TO_SHIP_BULK": ""
  },
  {
    "PACIFIC_TO_SHIP_DRUMS": ""
  },
  {
    "Pacific_Total_PPM": ""
  },
  {
    "PACIFIC_ZINC_RANGE": ""
  }
]

republic

POST/api/v1/aip_predictor/republic/classify/

Overview: ¶

The republic endpoint is a machine learning-based prediction service that analyzes waste material information to determine Republic-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts Republic-specific information such as disposal facility details (ID: 9915), template selection (“Republic”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at Republic facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[{"DisposalFacility_id": 9915}, {"DisposalFacility Name": "Itasca Landfill TX, LP"}, {"Template Name": "Republic"},
{"AdditionalInformationDisposalConsideration": "Solidification"}, {"AdditionalInformationTypeofWaste": "Pollution
Control Waste"}, {"Medical_Infectious_Waste": "no"}, {"PCWasteSulfur": "no"}, {"Waste40CFR260": "no"},
{"Waste40CFR2614": "no"}, {"Waste40CFR2614_Describe": ""}, {"WasteConsolidator": "no"}, {"WasteConsolidator_Describe":
""}, {"WCFederalStateRegulations": "no"}, {"WCRCRAFlistedSolvents": "no"}]

rineco

POST/api/v1/aip_predictor/rineco/classify/

Overview: ¶

The rineco endpoint is a machine learning-based prediction service that analyzes waste material information to determine Rineco-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts Rineco-specific information such as disposal facility details (ID: 9967), template selection (“Rineco”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at Rineco facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "DisposalFacility_id": 9967
  },
  {
    "DisposalFacility Name": "Heritage Thermal Services, Inc."
  },
  {
    "Template Name": "Rineco"
  },
  {
    "40CFR63SubpartGGG": "No"
  },
  {
    "AdditionalCommentsSpecialWasteType": "No"
  },
  {
    "AdditionalCommentsSpecialWasteType_Describe": ""
  },
  {
    "BenzeneConcentration10PPM": "No"
  },
  {
    "BoilingPoint": ""
  },
  {
    "Composition_Constituent_Flisted_110804": ""
  },
  {
    "Composition_Constituent_Flisted_110805": ""
  },
  {
    "Composition_Constituent_Flisted_110806": ""
  },
  {
    "Composition_Constituent_Flisted_110807": ""
  },
  {
    "Composition_Constituent_Flisted_110808": ""
  },
  {
    "Composition_Constituent_Flisted_110809": ""
  },
  {
    "Composition_Constituent_Flisted_110810": ""
  },
  {
    "Composition_Constituent_UHC_110804": ""
  },
  {
    "Composition_Constituent_UHC_110805": ""
  },
  {
    "Composition_Constituent_UHC_110806": ""
  },
  {
    "Composition_Constituent_UHC_110807": ""
  },
  {
    "Composition_Constituent_UHC_110808": ""
  },
  {
    "Composition_Constituent_UHC_110809": ""
  },
  {
    "Composition_Constituent_UHC_110810": ""
  },
  {
    "Containers_Stored_Outside": "No"
  },
  {
    "Containers_Stored_Outside_Describe": ""
  },
  {
    "D001": ""
  },
  {
    "D002": ""
  },
  {
    "D003": ""
  },
  {
    "D004": ""
  },
  {
    "D005": ""
  },
  {
    "D006": ""
  },
  {
    "D007": ""
  },
  {
    "D008": ""
  },
  {
    "D009": ""
  },
  {
    "D010": ""
  },
  {
    "D011": ""
  },
  {
    "D012": ""
  },
  {
    "D013": ""
  },
  {
    "D014": ""
  },
  {
    "D015": ""
  },
  {
    "D016": ""
  },
  {
    "D017": ""
  },
  {
    "D018": ""
  },
  {
    "D019": ""
  },
  {
    "D020": ""
  },
  {
    "D021": ""
  },
  {
    "D022": ""
  },
  {
    "D023": ""
  },
  {
    "D024": ""
  },
  {
    "D025": ""
  },
  {
    "D026": ""
  },
  {
    "D027": ""
  },
  {
    "D028": ""
  },
  {
    "D029": ""
  },
  {
    "D030": ""
  },
  {
    "D031": ""
  },
  {
    "D032": ""
  },
  {
    "D033": ""
  },
  {
    "D034": ""
  },
  {
    "D035": ""
  },
  {
    "D036": ""
  },
  {
    "D037": ""
  },
  {
    "D038": ""
  },
  {
    "D039": ""
  },
  {
    "D040": ""
  },
  {
    "D041": ""
  },
  {
    "D042": ""
  },
  {
    "D043": ""
  },
  {
    "Debris": "No"
  },
  {
    "Dust_Hazard": "No"
  },
  {
    "Exclusions_Exemptions": "No"
  },
  {
    "Exclusions_Exemptions_Describe": ""
  },
  {
    "FreeLiquidsFailPaint": "No"
  },
  {
    "Greater10Moisture": "No"
  },
  {
    "Heat_Improve_Flow": "No"
  },
  {
    "List_Attachments": "MSDS"
  },
  {
    "List_Attachments_Other_List": ""
  },
  {
    "Material_AnotherFacility": "No"
  },
  {
    "Material_AnotherFacility_Describe": ""
  },
  {
    "Material_Overpacked": "No"
  },
  {
    "Material_Overpacked_Describe": ""
  },
  {
    "Material_Potential_Container": "No"
  },
  {
    "Material_Potential_Container_Describe": ""
  },
  {
    "Other_Properties": ""
  },
  {
    "Potential_High_Hazards": "Not Applicable"
  },
  {
    "RecoveryOperations": "No"
  },
  {
    "StorageConditions": "No"
  },
  {
    "StorageConditions_Describe": ""
  },
  {
    "Subject_BenzeneNESHAP": "No"
  },
  {
    "Subject_SubpartCC": "Yes"
  },
  {
    "TotalAnnualBenzene": "0"
  },
  {
    "TSD": ""
  },
  {
    "UndisclosedHazards": "No"
  },
  {
    "UsedOil_Halogens1000": "< 1000 PPM"
  },
  {
    "UsedOil_HazardousWaste": "No"
  },
  {
    "USEOIL40CFRPART": "No"
  },
  {
    "Waste_Drums": "No"
  },
  {
    "Waste_Pumpable": "No"
  }
]

samex

POST/api/v1/aip_predictor/samex/classify/

Overview: ¶

The samex endpoint is a machine learning-based prediction service that analyzes waste material information to determine Samex-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts Samex-specific information such as disposal facility details (ID: 22566), template selection (“Samex”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at Samex facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "DisposalFacility_id": 22566
  },
  {
    "DisposalFacility Name": "SAMEX Recycling Technologies, S.A DE C.V."
  },
  {
    "Template Name": "Samex"
  },
  {
    "SAMEX_Ammonia": "Yes"
  },
  {
    "SAMEX_Ammonia_PPM": ""
  },
  {
    "SAMEX_Aromatic": "Yes"
  },
  {
    "SAMEX_Aromatic_PPM": ""
  },
  {
    "SAMEX_Asbestos": "No"
  },
  {
    "SAMEX_Asbestos_Text": ""
  },
  {
    "SAMEX_Biological": "No"
  },
  {
    "SAMEX_categorical": "No"
  },
  {
    "SAMEX_Dangerous": "No"
  },
  {
    "SAMEX_Dioxin": "No"
  },
  {
    "SAMEX_Disposal": "No"
  },
  {
    "SAMEX_federal": "No"
  },
  {
    "SAMEX_Free": ""
  },
  {
    "SAMEX_Fungicides": "Yes"
  },
  {
    "SAMEX_Fungicides_PPM": ""
  },
  {
    "SAMEX_HALOGEN": ""
  },
  {
    "SAMEX_Heated_Material": ""
  },
  {
    "SAMEX_HOCs": "No"
  },
  {
    "SAMEX_HOCs_PPM": ""
  },
  {
    "SAMEX_Ignitable_Solid": "No"
  },
  {
    "SAMEX_Inhalation_Hazard": "No"
  },
  {
    "SAMEX_Marine_Pollutant": "No"
  },
  {
    "SAMEX_Miscible": ""
  },
  {
    "SAMEX_NIOSH_Human": "No"
  },
  {
    "SAMEX_Nitro_Cellulose": "No"
  },
  {
    "SAMEX_Organic_Carbon": "No"
  },
  {
    "SAMEX_Phenolics": "No"
  },
  {
    "SAMEX_Phenolics_PPM": ""
  },
  {
    "SAMEX_Phenols": "No"
  },
  {
    "SAMEX_Phenols_PPM": ""
  },
  {
    "SAMEX_Phosphorous": "No"
  },
  {
    "SAMEX_Phosphorous_PPM": ""
  },
  {
    "SAMEX_Quinones": "Yes"
  },
  {
    "SAMEX_Quinones_PPM": ""
  },
  {
    "SAMEX_RCRA_hazardous": "No"
  },
  {
    "SAMEX_Reactive_Metal": "No"
  },
  {
    "SAMEX_Reactive_Other": "No"
  },
  {
    "SAMEX_State_regulated": "No"
  },
  {
    "SAMEX_subpart": "No"
  },
  {
    "SAMEX_TOC": "No"
  },
  {
    "SAMEX_TOC_PPM": ""
  },
  {
    "SAMEX_Urea": "Yes"
  },
  {
    "SAMEX_Urea_PPM": ""
  }
]

systech

POST/api/v1/aip_predictor/systech/classify/

Overview: ¶

The systech endpoint is a machine learning-based prediction service that analyzes waste material information to determine Systech-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts Systech-specific information such as disposal facility details (ID: 10007), template selection (“Systech”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at Systech facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "DisposalFacility_id": 10007
  },
  {
    "DisposalFacility Name": "Systech Environmental Corporation"
  },
  {
    "Template Name": "Systech"
  },
  {
    "Boiling_Point_130": ""
  },
  {
    "Bulk_Frequency_1": "QUARTERLY"
  },
  {
    "Bulk_Frequency_2": "QUARTERLY"
  },
  {
    "Bulk_Frequency_3": "QUARTERLY"
  },
  {
    "Bulk_Frequency_4": "QUARTERLY"
  },
  {
    "Bulk_Quantity_1": ""
  },
  {
    "Bulk_Quantity_2": ""
  },
  {
    "Bulk_Quantity_3": ""
  },
  {
    "Bulk_Quantity_4": ""
  },
  {
    "Bulk_Size_1": ""
  },
  {
    "Bulk_Size_2": ""
  },
  {
    "Bulk_Size_3": ""
  },
  {
    "Bulk_Size_4": ""
  },
  {
    "Density": ""
  },
  {
    "Elemental_Constituents": "Elemental_Constituents"
  },
  {
    "EPA_Origin_Code": "5"
  },
  {
    "Exempt_Waste": "no"
  },
  {
    "Exempt_Waste_Describe": ""
  },
  {
    "Flash_Point_70": "28"
  },
  {
    "Generator_Knowledge": ""
  },
  {
    "Liquids_20": ""
  },
  {
    "Material_Comment": ""
  },
  {
    "MC_Aluminum": ""
  },
  {
    "MC_Antimony": ""
  },
  {
    "MC_Arsenic": ""
  },
  {
    "MC_Barium": ""
  },
  {
    "MC_Beryllium": ""
  },
  {
    "MC_Bromine": ""
  },
  {
    "MC_Cadmium": ""
  },
  {
    "MC_Chlorine": ""
  },
  {
    "MC_Chromium": ""
  },
  {
    "MC_Cobalt": ""
  },
  {
    "MC_Copper": ""
  },
  {
    "MC_Fluorine": ""
  },
  {
    "MC_Iodine": ""
  },
  {
    "MC_Iron": ""
  },
  {
    "MC_Lead": ""
  },
  {
    "MC_Lithium": ""
  },
  {
    "MC_Manganese": ""
  },
  {
    "MC_Mercury": ""
  },
  {
    "MC_Molybdenum": ""
  },
  {
    "MC_Nickel": ""
  },
  {
    "MC_Phosphorous": ""
  },
  {
    "MC_Potassium": ""
  },
  {
    "MC_Selenium": ""
  },
  {
    "MC_Silicon": ""
  },
  {
    "MC_Silver": ""
  },
  {
    "MC_Sulfur": ""
  },
  {
    "MC_Thallium": ""
  },
  {
    "MC_Titanium": ""
  },
  {
    "MC_Vanadium": ""
  },
  {
    "MC_Zinc": ""
  },
  {
    "Non_aqueous": "Non-aqueous"
  },
  {
    "NonBulk_Fiber_1": ""
  },
  {
    "NonBulk_Fiber_2": ""
  },
  {
    "NonBulk_Fiber_3": ""
  },
  {
    "NonBulk_Fiber_4": ""
  },
  {
    "NonBulk_Frequency_1": "QUARTERLY"
  },
  {
    "NonBulk_Frequency_2": "QUARTERLY"
  },
  {
    "NonBulk_Frequency_3": "QUARTERLY"
  },
  {
    "NonBulk_Frequency_4": "QUARTERLY"
  },
  {
    "NonBulk_Poly_1": ""
  },
  {
    "NonBulk_Poly_2": ""
  },
  {
    "NonBulk_Poly_3": ""
  },
  {
    "NonBulk_Poly_4": ""
  },
  {
    "NonBulk_Quantity_1": ""
  },
  {
    "NonBulk_Quantity_2": ""
  },
  {
    "NonBulk_Quantity_3": ""
  },
  {
    "NonBulk_Quantity_4": ""
  },
  {
    "NonBulk_Size_1": ""
  },
  {
    "NonBulk_Size_2": ""
  },
  {
    "NonBulk_Size_3": ""
  },
  {
    "NonBulk_Size_4": ""
  },
  {
    "NonBulk_Steel_1": ""
  },
  {
    "NonBulk_Steel_2": ""
  },
  {
    "NonBulk_Steel_3": ""
  },
  {
    "NonBulk_Steel_4": ""
  },
  {
    "Other_Incompatibles_Storage": ""
  },
  {
    "Other_Properties": ""
  },
  {
    "Regulated_Ozone": "no"
  },
  {
    "Regulated_RMP": "no"
  },
  {
    "Regulated_Subpart": "no"
  },
  {
    "TCLP_Method": ""
  },
  {
    "Total_Analysis": ""
  },
  {
    "Unsorted_Municipal": "no"
  },
  {
    "Waste_Min_Code": ""
  }
]

tradebe

POST/api/v1/aip_predictor/tradebe/classify/

Overview: ¶

The tradebe endpoint is a machine learning-based prediction service that analyzes waste material information to determine Tradebe-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts Tradebe-specific information such as disposal facility details (ID: 10007), template selection (“Systech”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at Tradebe facilities.

Request Body and Response Description: ¶

Example URI

Content-Type: application/json
Authorization: {TOKEN}

{
  "profileName": "Lab Waste",
  "processGeneratingWaste": "PCB Analysis testing - glass vials containing chemicals listed below. packed into drums",
  "chemicalPhysicalComposition": "Decachlorobiphenyl, PCB (TSCA Source), Glass Vials, Isooctane, Sulfuric Acid"
}

Content-Type: application/json

[
  {
    "DisposalFacility_id": 10019
  },
  {
    "DisposalFacility Name": "Tradebe Treatment and Recycling of Tennessee, LLC"
  },
  {
    "Template Name": "Tradebe"
  },
  {
    "Arsenic_ActualLevel_1": ""
  },
  {
    "Arsenic_ActualLevel_3": ""
  },
  {
    "Arsenic_SuspectedLevel_1": ""
  },
  {
    "Arsenic_SuspectedLevel_3": ""
  },
  {
    "Barium_ActualLevel_3": ""
  },
  {
    "Barium_SuspectedLevel_3": ""
  },
  {
    "BoilingPointTradebe": ""
  },
  {
    "Cadmium_ActualLevel_1": ""
  },
  {
    "Cadmium_ActualLevel_2": ""
  },
  {
    "Cadmium_SuspectedLevel_1": ""
  },
  {
    "Cadmium_SuspectedLevel_2": ""
  },
  {
    "CFRPart27AppendixA": "No"
  },
  {
    "ChlorinatedConstituentPresent": ""
  },
  {
    "Chromium_ActualLevel_1": ""
  },
  {
    "Chromium_ActualLevel_2": ""
  },
  {
    "Chromium_SuspectedLevel_1": ""
  },
  {
    "Chromium_SuspectedLevel_2": ""
  },
  {
    "ClassIIOzoneDepletingSubstances": "No"
  },
  {
    "Cobalt_ActualLevel_3": ""
  },
  {
    "Cobalt_SuspectedLevel_3": ""
  },
  {
    "COD_ActualLevel_2": ""
  },
  {
    "COD_SuspectedLevel_2": ""
  },
  {
    "Copper_ActualLevel_2": ""
  },
  {
    "Copper_SuspectedLevel_2": ""
  },
  {
    "Cyanides_ActualLevel_3": ""
  },
  {
    "Cyanides_SuspectedLevel_3": ""
  },
  {
    "DescribeMetal": ""
  },
  {
    "EPCRA313Chemicals": "No"
  },
  {
    "FacilityRestrictions": ""
  },
  {
    "Glycols_ActualLevel_3": ""
  },
  {
    "Glycols_SuspectedLevel_3": ""
  },
  {
    "Halogens_ActualLevel_1": ""
  },
  {
    "Halogens_SuspectedLevel_1": ""
  },
  {
    "HazardousAirPollutants_ChemicalComposition": "No"
  },
  {
    "Iron_ActualLevel_2": ""
  },
  {
    "Iron_SuspectedLevel_2": ""
  },
  {
    "Isocyanates": "no"
  },
  {
    "Lead_ActualLevel_1": ""
  },
  {
    "Lead_ActualLevel_2": ""
  },
  {
    "Lead_SuspectedLevel_1": ""
  },
  {
    "Lead_SuspectedLevel_2": ""
  },
  {
    "ListSpecificSolvents": ""
  },
  {
    "Mercury_ActualLevel_3": ""
  },
  {
    "Mercury_SuspectedLevel_3": ""
  },
  {
    "MetalPieces": "no"
  },
  {
    "MetalPowder": "no"
  },
  {
    "Nickel_ActualLevel_2": ""
  },
  {
    "Nickel_SuspectedLevel_2": ""
  },
  {
    "Nitroceullulose": "no"
  },
  {
    "NoCanadaDisposal_Policy": "No"
  },
  {
    "NoLandfill_Policy": "No"
  },
  {
    "OtherDisposalRestrictions": ""
  },
  {
    "PCB_ActualLevel_1": ""
  },
  {
    "PCB_SuspectedLevel_1": ""
  },
  {
    "PCBs": "None"
  },
  {
    "Phases_DNAPL": ""
  },
  {
    "Phases_Interface": ""
  },
  {
    "Phases_Oil": ""
  },
  {
    "Phases_Sediments": ""
  },
  {
    "Phases_Water": ""
  },
  {
    "Phenols_ActualLevel_3": ""
  },
  {
    "Phenols_SuspectedLevel_3": ""
  },
  {
    "RebutPresumption": ""
  },
  {
    "Selenium_ActualLevel_3": ""
  },
  {
    "Selenium_SuspectedLevel_3": ""
  },
  {
    "Sharps": "no"
  },
  {
    "Silver_ActualLevel_2": ""
  },
  {
    "Silver_SuspectedLevel_2": ""
  },
  {
    "Solvents_ActualLevel_1": ""
  },
  {
    "Solvents_SuspectedLevel_1": ""
  },
  {
    "SubpartCCControls": "No"
  },
  {
    "SubpartFFRegulations": "no"
  },
  {
    "Sulfides_ActualLevel_3": ""
  },
  {
    "Sulfides_SuspectedLevel_3": ""
  },
  {
    "TotalHalogenExceed1000": ""
  },
  {
    "TotalHalogens": "0"
  },
  {
    "TotalOrganicCarbonTradebe": "8"
  },
  {
    "TreatmentF006Sludge": "no"
  },
  {
    "USEOIL40CFRPART": ""
  },
  {
    "VOC": "8"
  },
  {
    "WasteCharacteristics_InhalationHazard_Zone": ""
  },
  {
    "WasteWaterAnalysis_ProfileNumber": ""
  },
  {
    "Zinc_ActualLevel_2": ""
  },
  {
    "Zinc_SuspectedLevel_2": ""
  }
]

usEcologyOklahoma

POST/api/v1/aip_predictor/usEcologyOklahoma/classify/

Overview: ¶

The usEcologyOklahoma endpoint is a machine learning-based prediction service that analyzes waste material information to determine US Ecology Oklahoma-specific attributes. This POST endpoint accepts basic profile data including the profile name, process description, and chemical/physical composition. The service predicts US Ecology Oklahoma-specific information such as disposal facility details (ID: 10033), template selection (“US Ecology Oklahoma”), and various waste characteristics. The response provides structured data including facility details, template name, and various waste characteristics to help brokers make informed decisions about waste handling and disposal at US Ecology Oklahoma facilities.

Request Body and Response Description: ¶