plaid2.model.signal_evaluate_response module
- class plaid2.model.signal_evaluate_response.SignalEvaluateResponse(*, request_id: str, scores: SignalScores, core_attributes: Optional[SignalEvaluateCoreAttributes] = None)[source]
Bases:
BaseModel
- core_attributes: Optional[SignalEvaluateCoreAttributes]
The core attributes object contains additional data that can be used to assess the ACH return risk. Examples of data include:
days_since_first_plaid_connection: The number of days since the first time the Item was connected to an application via Plaid plaid_connections_count_7d: The number of times the Item has been connected to applications via Plaid over the past 7 days plaid_connections_count_30d: The number of times the Item has been connected to applications via Plaid over the past 30 days total_plaid_connections_count: The number of times the Item has been connected to applications via Plaid is_savings_or_money_market_account: Indicates whether the ACH transaction funding account is a savings/money market account
For the full list and detailed documentation of core attributes available, or to request that core attributes not be returned, contact Sales or your Plaid account manager
- dict(**kwargs: Any) Dict[str, Any] [source]
Return a dict representation of the object. Takes same keyword arguments as pydantic.BaseModel.dict
- json(**kwargs: Any) str [source]
Return a json string representation of the object. Takes same keyword arguments as pydantic.BaseModel.json
- classmethod parse_obj(data: Any) SignalEvaluateResponse [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) SignalEvaluateResponse [source]
Parse a json string into the object. Takes same keyword arguments as pydantic.BaseModel.parse_raw
- request_id: str
A unique identifier for the request, which can be used for troubleshooting. This identifier, like all Plaid identifiers, is case sensitive.
- scores: SignalScores
Risk scoring details broken down by risk category.