Filters

The core query mechanism in DealMachine. They let you search for properties and contacts using criteria like location, property type, owner demographics, equity, and hundreds of other data points.

How Filters Work

Each filter represents a single criterion — a data point combined with an operator and a value. DealMachine has over 200 filterable fields organized into groups.

Source Types

Filters are scoped to a source type:

Source Type	Description
`properties`	Property-level data (address, value, equity, lot size, etc.)
`people`	Contact/owner-level data (name, phone, email, demographics, etc.)

Filter Types

Each filter has a data type that determines which operators you can use:

Type	Description	Example
`NUMBER`	Numeric values with range/comparison operators	Equity % between 40-80
`STRING`	Text values with match operators	Owner name contains “Smith”
`DATE`	Date values with range/comparison operators	Purchased after 2015-01-01
`MULTI_SELECT`	Predefined option sets	Property type in [SFR, MFR]
`BOOLEAN`	True/false values	Is absentee owner?

Operators

Each filter type supports specific operators:

NUMBER Operators

Operator	Description
`range`	Value falls between min and max
`greater_than`	Value is greater than
`greater_than_or_equal`	Value is greater than or equal to
`less_than`	Value is less than
`less_than_or_equal`	Value is less than or equal to
`equals`	Exact numeric match
`not_equals`	Does not equal

STRING Operators

Operator	Description
`contains`	Text contains substring
`any_of`	Matches any of the provided values
`starts_with`	Text starts with prefix
`ends_with`	Text ends with suffix
`equals`	Exact text match
`not_equals`	Does not equal
`not_contains`	Text does not contain substring

DATE Operators

Operator	Description
`date_range`	Falls between start and end date
`is_after`	Date is after a given date
`is_before`	Date is before a given date
`equals`	Exact date match
`relative_time`	Relative time comparison (e.g., within last 6 months)
`is_known`	Has any export activity or has none. Available only for `last_exported`.

MULTI_SELECT Operators

Operator	Description
`contains_any`	Matches any of the selected options
`contains_none`	Matches none of the selected options
`contains_all`	Matches all of the selected options

BOOLEAN

Boolean filters do not require an operator — just pass a filter_id and value. The operator is automatically inferred.

Filter Groups

Filters are organized into groups. Use the group_id to browse filters by category:

curl "https://api.v2.dealmachine.com/v1/filters?source_type=properties&group_id=owner_type" \
  -H "Authorization: Bearer dm_sk_live_xxx"

See the Groups page for the complete list of all group IDs.

Discovering Filters

Use the List Filters endpoint to discover all available filters:

curl "https://api.v2.dealmachine.com/v1/filters?source_type=properties" \
  -H "Authorization: Bearer dm_sk_live_xxx"

This returns every filter with its:

Display name and description
Data type
Available options (for MULTI_SELECT filters)
Allowed operators
Group ID (location, financial, ownership, etc.)

You can also search by name:

# Search for equity-related filters
curl "https://api.v2.dealmachine.com/v1/filters?search=equity" \
  -H "Authorization: Bearer dm_sk_live_xxx"

Using Filters in Queries

When searching, each filter you apply is a JSON object with these keys:

{
  "filter_id": "estimated_value",
  "operator": "range",
  "value": { "min": 100000, "max": 500000 }
}

Key	Description
`filter_id`	The filter slug (from the discovery endpoint above)
`operator`	One of the filter’s `allowed_operators`. Optional for BOOLEAN filters; automatically defaults to `is_boolean`.
`value`	The filter value. Its shape depends on the operator

Pass an array of these objects in your search request. All filters are combined with AND logic — every filter must match.

{
  "filters": [
    { "filter_id": "state", "operator": "equals", "value": "TX" },
    {
      "filter_id": "estimated_value",
      "operator": "range",
      "value": { "min": 200000, "max": 600000 }
    },
    { "filter_id": "is_absentee_owner", "value": true }
  ]
}

For the complete reference of every operator and its expected value shape, see Filter Values. For the full search workflow, see Searching.

Filters vs Fields

Filters describe how you can query data (search criteria with operators)
Fields describe what data is available (columns in your results)

Every filter corresponds to a field, but not every field is filterable. Use the List Fields endpoint to see all available data fields and their capabilities.

Getting Started

Searching

Data & Fields

Responses

Usage

CLI

Reference

AI Assistants

How Filters Work

Source Types

Filter Types

Operators

NUMBER Operators

STRING Operators

DATE Operators

MULTI_SELECT Operators

BOOLEAN

Filter Groups

Discovering Filters

Using Filters in Queries

Filters vs Fields

​How Filters Work

​Source Types

​Filter Types

​Operators

​NUMBER Operators

​STRING Operators

​DATE Operators

​MULTI_SELECT Operators

​BOOLEAN

​Filter Groups

​Discovering Filters

​Using Filters in Queries

​Filters vs Fields

How Filters Work

Source Types

Filter Types

Operators

NUMBER Operators

STRING Operators

DATE Operators

MULTI_SELECT Operators

BOOLEAN

Filter Groups

Discovering Filters

Using Filters in Queries

Filters vs Fields