Financial Scoring

The SPENDiD Financial Scoring service uses behavioral modeling to create several index values. Each index has a midpoint value of zero, meaning exactly equal to the estimated Peer Average.

We'll detail each score and use cases in the guide.

curl --request POST \
  --url https://api.spendid.io/v1.0/scores/generate \
  --header 'accept: application/json' \
  --header 'content-type: application/json' \
  --header 'x-api-key: your_api_key' \
  --data '
  {
    "demographics": {
    "age": 25,
    "gross_annual_income": 56376,
    "household_members": 1,
    "is_homeowner": false,
    "net_annual_income": 42000,
    "zip": "35210"
    },
    "budget": {
        "mortgage_and_rent": 6000,
        "vehicle_purchase_and_lease": 3000,
        "savings": 2000,
        "health_insurance": 0,
        "other_debt_payments": 0
    }
 }'
{
  "demographics": {
    "age": 25,
    "gross_annual_income": 56376,
    "household_members": 1,
    "is_homeowner": false,
    "net_annual_income": 42000,
    "zip": "35210"
  },
  "budget": {
    "mortgage_and_rent": 6000,
    "vehicle_purchase_and_lease": 3000,
    "savings": 2000
    "health_insurance": 0,
    "other_debt_payments": 0
  }
}
{
  "SPENDiD": "91.2",
  "SAViNGS": "7.4"
  "Predicted Saving Ability": "391"

}

SPENDiD Score

The User’s SPENDiD Score is a metric indicating their predicted likely ability Peers to meet their Fixed Expense obligations, plus all other expected expenses based on their Demographic profile, and still "BREAKEVEN" on a cash-flow basis during an average month. This is made possible by the User’s Demographic profile, Take-Home Income, and any known Fixed Expense inputs which commonly include categories such as Mortgage/Rent, Vehicle Payments, and Other Monthly Debt Payments, or legally required payments such as alimony, child support, tax estimates, etc... SPENDiD achieves this scoring metric by comparing the User's provided demographic and major fixed expense information, plus any other personalization made to certain spending categories, to proven spending and saving behavioral models of similar peers groups. SPENDiD Scores are structured on a 0-100 and can include an A through F grade scale that most everyone is familiar with. For example, a score of 99 (A+) indicates a lot less budget stress and higher likely savings ability than a score of 64 (D).

Predicted Saving Ability (PSA)

SPENDiD can determine a User’s Predicted Saving Ability (PSA) based on their simple Demographic and known Fixed Expense inputs. A higher SPENDiD Score will result in a larger PSA, while a lower SPENDiD Score might even result in a negative PSA amount. This Predicted Saving Ability can serve as motivation and a benchmark for greater savings achievement and/or expense reduction.