plaid2.model.screening_hit_analysis module

class plaid2.model.screening_hit_analysis.ScreeningHitAnalysis(*, documents: Optional[str] = None, dates_of_birth: Optional[str] = None, locations: Optional[str] = None, names: Optional[str] = None, search_terms_version: float)[source]

Bases: BaseModel

dates_of_birth: Optional[str]

An enum indicating the match type between data provided by user and data checked against an external data source.

match indicates that the provided input data was a strong match against external data.

partial_match indicates the data approximately matched against external data. For example, “Knope” vs. “Knope-Wyatt” for last name.

no_match indicates that Plaid was able to perform a check against an external data source and it did not match the provided input data.

no_data indicates that Plaid was unable to find external data to compare against the provided input data.

no_input indicates that Plaid was unable to perform a check because no information was provided for this field by the end user.

dict(**kwargs: Any) Dict[str, Any][source]

Return a dict representation of the object. Takes same keyword arguments as pydantic.BaseModel.dict

documents: Optional[str]

An enum indicating the match type between data provided by user and data checked against an external data source.

match indicates that the provided input data was a strong match against external data.

partial_match indicates the data approximately matched against external data. For example, “Knope” vs. “Knope-Wyatt” for last name.

no_match indicates that Plaid was able to perform a check against an external data source and it did not match the provided input data.

no_data indicates that Plaid was unable to find external data to compare against the provided input data.

no_input indicates that Plaid was unable to perform a check because no information was provided for this field by the end user.

json(**kwargs: Any) str[source]

Return a json string representation of the object. Takes same keyword arguments as pydantic.BaseModel.json

locations: Optional[str]

An enum indicating the match type between data provided by user and data checked against an external data source.

match indicates that the provided input data was a strong match against external data.

partial_match indicates the data approximately matched against external data. For example, “Knope” vs. “Knope-Wyatt” for last name.

no_match indicates that Plaid was able to perform a check against an external data source and it did not match the provided input data.

no_data indicates that Plaid was unable to find external data to compare against the provided input data.

no_input indicates that Plaid was unable to perform a check because no information was provided for this field by the end user.

names: Optional[str]

An enum indicating the match type between data provided by user and data checked against an external data source.

match indicates that the provided input data was a strong match against external data.

partial_match indicates the data approximately matched against external data. For example, “Knope” vs. “Knope-Wyatt” for last name.

no_match indicates that Plaid was able to perform a check against an external data source and it did not match the provided input data.

no_data indicates that Plaid was unable to find external data to compare against the provided input data.

no_input indicates that Plaid was unable to perform a check because no information was provided for this field by the end user.

classmethod parse_obj(data: Any) ScreeningHitAnalysis[source]

Parse a dict into the object. Takes same keyword arguments as pydantic.BaseModel.parse_obj

classmethod parse_raw(b: Union[bytes, str], **kwargs: Any) ScreeningHitAnalysis[source]

Parse a json string into the object. Takes same keyword arguments as pydantic.BaseModel.parse_raw

search_terms_version: float

The version of the screening’s search_terms that were compared when the screening hit was added. screening hits are immutable once they have been reviewed. If changes are detected due to updates to the screening’s search_terms, the associated program, or the list’s source data prior to review, the screening hit will be updated to reflect those changes.