Infinite Audience · Schema

AudienceObject

CompanyIdentity ResolutionData EnrichmentAudiencesMarketingMCPA2A

Properties

Name Type Description
data_release object
audience_id string
name string
status string active = ready for delivery; archived = soft-deleted via PATCH status:archived (excluded from list by default); expired = past 90-day TTL. Note: pending/failed statuses belong on segments, not audienc
version integer
quote_id stringnull ID of the most recent delivery quote for this audience.
quote_total_cents integernull Total cost in cents from the most recent delivery quote.
parent_audience_id stringnull ID of the audience this was forked from (null if not a fork).
forked_from_snapshot_version integernull Snapshot version of the parent audience at the time of forking.
record_count integernull Total resolved records across all composed segments.
matched_record_count integernull Records contributed by matched-subtype segments in this audience's composition. Present only when the composition includes at least one included matched segment; null for pure-filter or non-matched co
match_count integernull Records resolved to a known identity, for an audience created via the direct file-upload flow (POST /v1/match/file). Populated when that upload's matching pipeline completes; null before then or for a
input_record_count integernull Rows in the originally uploaded identity file, for an audience created via POST /v1/match/file. Same population conditions as match_count.
match_rate numbernull match_count / input_record_count, rounded to 4 decimal places. Null unless both match_count and input_record_count are present.
expires_at string ISO date — 90-day hard expiry from creation
version_created_at stringnull
visibility string org (default) — visible to all members of the org. private — visible only to the creating user.
segment_refs array Composition of segments that define this audience. Each entry specifies a segment and its role (include or exclude) in the set operation.
segment_ids array Cache of include-role segment IDs (denormalized from segment_refs for query efficiency).
excluded_segment_ids array Cache of exclude-role segment IDs (denormalized from segment_refs for query efficiency).
segments array Expanded summaries of the include-role segments, in `segment_ids` order. Populated on both list and single-GET responses. Best-effort — missing or deleted segment docs are skipped, so this array may b
excluded_segments array Expanded summaries of the exclude-role segments, in `excluded_segment_ids` order. Same expansion semantics as `segments`.
set_logic string How the include-role segments are combined: `union` = a record matches ANY included segment (OR); `intersection` = a record must match EVERY included segment (AND). Segments in `excluded_segment_ids`
created_at string
updated_at string
campaign_id stringnull The one campaign this audience belongs to, or null.
View JSON Schema on GitHub

JSON Schema

infiniteaudience-ai-audience-object-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/infiniteaudience-ai/main/json-schema/infiniteaudience-ai-audience-object-schema.json",
  "title": "AudienceObject",
  "x-generated": "2026-10-09",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/infiniteaudience-ai-openapi.yml#/components/schemas/AudienceObject",
  "type": "object",
  "required": [
    "audience_id",
    "name",
    "campaign_id",
    "status",
    "version",
    "expires_at",
    "visibility",
    "segment_refs",
    "segments",
    "excluded_segments",
    "created_at",
    "updated_at"
  ],
  "properties": {
    "data_release": {
      "oneOf": [
        {
          "$ref": "#/$defs/EnrichmentRelease"
        },
        {
          "type": "null"
        }
      ]
    },
    "audience_id": {
      "type": "string"
    },
    "name": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "active",
        "archived",
        "expired"
      ],
      "description": "active = ready for delivery; archived = soft-deleted via PATCH status:archived (excluded from list by default); expired = past 90-day TTL. Note: pending/failed statuses belong on segments, not audiences.\n"
    },
    "version": {
      "type": "integer"
    },
    "quote_id": {
      "type": [
        "string",
        "null"
      ],
      "description": "ID of the most recent delivery quote for this audience."
    },
    "quote_total_cents": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Total cost in cents from the most recent delivery quote."
    },
    "parent_audience_id": {
      "type": [
        "string",
        "null"
      ],
      "description": "ID of the audience this was forked from (null if not a fork)."
    },
    "forked_from_snapshot_version": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Snapshot version of the parent audience at the time of forking."
    },
    "record_count": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Total resolved records across all composed segments."
    },
    "matched_record_count": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Records contributed by matched-subtype segments in this audience's composition. Present only when the composition includes at least one included matched segment; null for pure-filter or non-matched compositions.\n"
    },
    "match_count": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Records resolved to a known identity, for an audience created via the direct file-upload flow (POST /v1/match/file). Populated when that upload's matching pipeline completes; null before then or for audiences not created that way — use matched_record_count for a composition-level matched count instead.\n"
    },
    "input_record_count": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Rows in the originally uploaded identity file, for an audience created via POST /v1/match/file. Same population conditions as match_count.\n"
    },
    "match_rate": {
      "type": [
        "number",
        "null"
      ],
      "description": "match_count / input_record_count, rounded to 4 decimal places. Null unless both match_count and input_record_count are present.\n"
    },
    "expires_at": {
      "type": "string",
      "description": "ISO date — 90-day hard expiry from creation"
    },
    "version_created_at": {
      "type": [
        "string",
        "null"
      ]
    },
    "visibility": {
      "type": "string",
      "enum": [
        "org",
        "private"
      ],
      "description": "org (default) — visible to all members of the org. private — visible only to the creating user.\n"
    },
    "segment_refs": {
      "type": "array",
      "description": "Composition of segments that define this audience. Each entry specifies a segment and its role (include or exclude) in the set operation.\n",
      "items": {
        "type": "object",
        "required": [
          "segment_id",
          "role"
        ],
        "properties": {
          "segment_id": {
            "type": "string",
            "description": "ID of the referenced segment."
          },
          "role": {
            "type": "string",
            "enum": [
              "include",
              "exclude"
            ],
            "description": "Whether the segment's records are included in or excluded from the audience."
          }
        }
      }
    },
    "segment_ids": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Cache of include-role segment IDs (denormalized from segment_refs for query efficiency)."
    },
    "excluded_segment_ids": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Cache of exclude-role segment IDs (denormalized from segment_refs for query efficiency)."
    },
    "segments": {
      "type": "array",
      "description": "Expanded summaries of the include-role segments, in `segment_ids` order. Populated on both list and single-GET responses. Best-effort — missing or deleted segment docs are skipped, so this array may be shorter than `segment_ids`.\n",
      "items": {
        "$ref": "#/$defs/ExpandedSegment"
      }
    },
    "excluded_segments": {
      "type": "array",
      "description": "Expanded summaries of the exclude-role segments, in `excluded_segment_ids` order. Same expansion semantics as `segments`.\n",
      "items": {
        "$ref": "#/$defs/ExpandedSegment"
      }
    },
    "set_logic": {
      "type": "string",
      "enum": [
        "union",
        "intersection"
      ],
      "description": "How the include-role segments are combined: `union` = a record matches ANY included segment (OR); `intersection` = a record must match EVERY included segment (AND). Segments in `excluded_segment_ids` are always subtracted from that result (AND NOT), regardless of `set_logic`.\n"
    },
    "created_at": {
      "type": "string",
      "format": "date-time"
    },
    "updated_at": {
      "type": "string",
      "format": "date-time"
    },
    "campaign_id": {
      "type": [
        "string",
        "null"
      ],
      "description": "The one campaign this audience belongs to, or null."
    }
  },
  "$defs": {
    "EnrichmentRelease": {
      "type": "object",
      "required": [
        "major",
        "minor"
      ],
      "description": "Delivered IAG refresh version. Independent of license status. Null provenance means unknown; a newer refresh-major can prompt a refresh through existing workflows. Active licenses and existing identity IDs support free refresh; normal charges may apply otherwise.",
      "properties": {
        "major": {
          "type": "integer",
          "minimum": 1
        },
        "minor": {
          "type": "integer",
          "minimum": 0
        }
      }
    },
    "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.
All 92 tools →

Call it yourself

curl for this page
This JSON Schema
curl "https://apis.io/api/v1/json-schemas/infiniteaudience-ai-audience-object"
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.