Infinite Audience · Schema
Campaign
A named workspace grouping related audiences and deliveries. There is no audience_ids[] field — audiences[] (below) is the only audience-linkage field the handler ever returns.
CompanyIdentity ResolutionData EnrichmentAudiencesMarketingMCPA2A
Properties
| Name | Type | Description |
|---|---|---|
| id | string | Unique campaign identifier. |
| name | string | Display name of the campaign. |
| description | string | User-authored campaign brief, intended market, goals, and constraints. |
| status | string | Lifecycle state of the campaign. |
| audiences | array | Audiences linked to this campaign — expanded on GET /v1/campaigns/{id}; empty array on list responses. |
| created_at | string | |
| updated_at | string |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://raw.githubusercontent.com/api-evangelist/infiniteaudience-ai/main/json-schema/infiniteaudience-ai-campaign-schema.json",
"title": "Campaign",
"description": "A named workspace grouping related audiences and deliveries. There is no audience_ids[] field — audiences[] (below) is the only audience-linkage field the handler ever returns.\n",
"x-generated": "2026-10-09",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/infiniteaudience-ai-openapi.yml#/components/schemas/Campaign",
"type": "object",
"required": [
"id",
"name",
"description",
"status",
"audiences",
"created_at",
"updated_at"
],
"properties": {
"id": {
"type": "string",
"description": "Unique campaign identifier."
},
"name": {
"type": "string",
"description": "Display name of the campaign."
},
"description": {
"type": "string",
"maxLength": 1000,
"description": "User-authored campaign brief, intended market, goals, and constraints."
},
"status": {
"type": "string",
"enum": [
"active",
"archived"
],
"description": "Lifecycle state of the campaign."
},
"audiences": {
"type": "array",
"description": "Audiences linked to this campaign — expanded on GET /v1/campaigns/{id}; empty array on list responses.\n",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"status": {
"type": "string",
"enum": [
"active",
"archived",
"expired"
]
},
"record_count": {
"type": [
"integer",
"null"
]
},
"segment_ids": {
"type": "array",
"items": {
"type": "string"
},
"description": "IDs of include-role segments in this audience."
},
"excluded_segment_ids": {
"type": "array",
"items": {
"type": "string"
},
"description": "IDs of exclude-role segments in this audience."
},
"segments": {
"type": "array",
"description": "Constituent segments; audiences can combine multiple subtypes.",
"items": {
"$ref": "#/$defs/ExpandedSegment"
}
},
"excluded_segments": {
"type": "array",
"description": "Expanded summaries of the exclude-role segments, same semantics as `segments`.",
"items": {
"$ref": "#/$defs/ExpandedSegment"
}
},
"set_logic": {
"type": "string",
"enum": [
"union",
"intersection"
]
},
"snapshot_version": {
"type": "integer"
},
"parent_audience_id": {
"type": [
"string",
"null"
]
},
"linked_at": {
"type": [
"string",
"null"
],
"format": "date-time",
"description": "When this audience was linked to the campaign."
}
}
}
},
"created_at": {
"type": "string",
"format": "date-time"
},
"updated_at": {
"type": "string",
"format": "date-time"
}
},
"$defs": {
"ExpandedSegment": {
"type": "object",
"description": "Constituent segment summary and saved filter definition. Audiences may combine multiple segment subtypes; there is no primary segment or audience subtype.",
"required": [
"id",
"name",
"record_count",
"subtype",
"input_record_count",
"match_count"
],
"properties": {
"id": {
"type": "string",
"description": "Segment document ID."
},
"name": {
"type": "string",
"description": "Segment display name."
},
"record_count": {
"type": [
"integer",
"null"
],
"description": "Cached record count of the segment. Null if never counted."
},
"subtype": {
"type": "string",
"enum": [
"filter",
"matched",
"similarity",
"propensity"
],
"description": "Subtype of the constituent segment."
},
"input_record_count": {
"type": [
"integer",
"null"
],
"description": "matched subtype only. Count of records in the uploaded identity file. Null otherwise."
},
"match_count": {
"type": [
"integer",
"null"
],
"description": "matched subtype only. Count of records successfully matched. Null otherwise."
},
"filter_groups": {
"type": "array",
"items": {
"$ref": "#/$defs/FilterGroup"
}
},
"current_version": {
"type": "integer"
},
"record_limit": {
"type": [
"integer",
"null"
]
}
}
},
"Filter": {
"type": "object",
"description": "A single filter condition for audience discovery or job execution",
"required": [
"field",
"op"
],
"properties": {
"field": {
"type": "string",
"description": "Canonical catalog field_name (e.g. age or state). ZIP5 also accepts zip, zip_code, or postal_code as input aliases; saved responses use zip5."
},
"op": {
"type": "string",
"enum": [
"=",
"!=",
"<",
"<=",
">",
">=",
"IN",
"NOT IN",
"BETWEEN",
"LIKE",
"ARRAY_CONTAINS",
"ARRAY_CONTAINS_ANY",
"IS NULL",
"IS NOT NULL"
],
"description": "Comparison operator"
},
"text_comparison": {
"type": "string",
"enum": [
"exact",
"case_insensitive"
],
"description": "Optional STRING comparison mode for =, !=, IN, NOT IN, and LIKE, or ARRAY<STRING> membership mode for ARRAY_CONTAINS and ARRAY_CONTAINS_ANY. Defaults to exact. Case-insensitive mode applies Unicode case folding to both the stored value and the supplied value.\n"
},
"trim_whitespace": {
"type": "boolean",
"description": "Optionally trim leading and trailing whitespace on both sides of a STRING or ARRAY<STRING> comparison. Defaults to false; independent of text_comparison.\n"
},
"value": {
"oneOf": [
{
"type": "string"
},
{
"type": "number"
},
{
"type": "boolean"
},
{
"type": "array",
"items": {
"oneOf": [
{
"type": "string"
},
{
"type": "number"
}
]
}
}
],
"description": "The value to match against. For state, a published two-letter code or full State name is accepted and normalized to the code. Scalar types (`string`, `number`, `boolean`) are used for single-value operators (`=`, `!=`, `<`, `<=`, `>`, `>=`, `LIKE`, `ARRAY_CONTAINS`). Pass an **array** for `IN`, `NOT IN`, and `ARRAY_CONTAINS_ANY` — pass the array directly with no comma-encoding. `BETWEEN` takes a two-element array `[low, high]`. Omit entirely for `IS NULL` / `IS NOT NULL` checks.\n"
}
}
},
"FilterGroup": {
"type": "object",
"description": "A group of Filter conditions. All `filters` within a single group are **always ANDed together** — there is no per-group intra-operator. The `combinator` attribute is an **inter-group** operator: it controls how this group is joined to the immediately preceding group in the array. The `combinator` on the first group (index 0) is always ignored.\n\nExample — `(city = \"NYC\" AND state = \"NY\") OR (state = \"CA\")`:\n```json [\n { \"id\": \"g1\", \"filters\": [{\"field\":\"city\",\"op\":\"=\",\"value\":\"NYC\"},\n {\"field\":\"state\",\"op\":\"=\",\"value\":\"NY\"}],\n \"combinator\": \"AND\" },\n { \"id\": \"g2\", \"filters\": [{\"field\":\"state\",\"op\":\"=\",\"value\":\"CA\"}],\n \"combinator\": \"OR\" }\n] ```\nGroup g1's `combinator` is irrelevant (it is the first group). Group g2's `combinator: \"OR\"` means the result is `(g1) OR (g2)`.\n",
"required": [
"id",
"filters",
"combinator"
],
"properties": {
"id": {
"type": "string",
"description": "Stable identifier (UUID or NanoID). Used to track groups across edits.\n"
},
"filters": {
"type": "array",
"items": {
"$ref": "#/$defs/Filter"
},
"description": "One or more filter conditions. All conditions in this array are combined with AND. Provide at least one filter per group.\n"
},
"combinator": {
"type": "string",
"enum": [
"AND",
"OR"
],
"description": "**Inter-group operator.** Joins this group to the previous group in the array. `AND` narrows the result; `OR` broadens it. Ignored on the first group (index 0) — that group has no predecessor to join.\n"
}
}
}
}
}
Work with this as data
Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for schemas
4 MCP tools reach this
find_json_schemasBrowse and filter every JSON Schema in the catalog.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
This JSON Schema
curl "https://apis.io/api/v1/json-schemas/infiniteaudience-ai-campaign"
All schemas
curl "https://apis.io/api/v1/json-schemas?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.
Get an API key
Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.
A second provider on the same verified email joins the account you already have.