Search aggregated market data with filters
Search aggregated loan origination market data. Filterable dimensions cover geography (state, county, zip), product (loan purpose / type / amortization), borrower demographics, and loan numerics.
In: header
Request Body
application/json
TypeScript Definitions
Use the request body type in TypeScript.
Response Body
application/json
application/json
application/json
application/json
application/json
application/json
curl -X POST "https://example.com/v1/market" \ -H "Content-Type: application/json" \ -d '{}'{
"cursor": "string",
"data": [
{
"amortizationType": "string",
"appraisedValue": 0,
"borrowerGeneration": "string",
"channel": "string",
"closingDate": "string",
"combinedLtv": 0,
"county": "string",
"creditScore": 0,
"currentHomeOwner": true,
"dti": 0,
"dtifront": 0,
"firstTimeHomebuyer": true,
"fundingDate": "string",
"hmdaActionTaken": "string",
"id": "string",
"income": 0,
"loanAmount": 0,
"loanApplicationDate": "string",
"loanPurpose": "string",
"loanTerm": 0,
"loanType": "string",
"ltv": 0,
"noteRate": 0,
"occupancyType": "string",
"propertyType": "string",
"purchasePrice": 0,
"selfEmployed": true,
"state": "string",
"veteranIndicator": true,
"zip": "string"
}
],
"locationNormalizations": [
{
"candidates": [
"string"
],
"confidence": "normalized",
"displayName": "Saint Louis, MO",
"field": "city",
"id": "city_mo_saint-louis",
"normalized": "Saint Louis",
"original": "St. Louis",
"variants": [
"string"
]
}
],
"total": 0
}{
"error": "string"
}{
"error": "string"
}{
"error": "string"
}{
"error": "string"
}{
"error": "string",
"limit": 0,
"size": 0
}Autocomplete location search GET
Autocomplete location search. Cities and counties come from Model Match's own location dictionary and carry an `id` (e.g. `city_mo_saint-louis`) that city / county filters accept — including for places our data spells differently than a mapping provider does. Street addresses come from Mapbox. Use the `mapbox_id` from any suggestion with `retrieveLocation` to get normalized geographic details and coordinates.
Market measure by dimension breakdown POST
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