Observe.AI · Schema
INTERACTION_V1
JSON schema for Observe.ai bulk S3 export of interaction records. Each file is gzip-compressed JSON (INTERACTION_V1_
CompanyAi AppsContact CenterConversation IntelligenceCustomer SupportAgentic AIVoice AIQuality AssuranceReportingOpenAPISpeech Analytics
Properties
| Name | Type | Description |
|---|---|---|
| id | string | Primary key. Observe.ai interaction (meeting) identifier. |
| account_id | string | Observe.ai account identifier. |
| agent_id | string | Observe.ai user identifier for the agent on the interaction. |
| partner_agent_id | arraynull | Partner-system agent identifiers linked to the Observe.ai agent. |
| agent_name | stringnull | Full name of the agent. |
| agent_email | stringnull | Email address of the agent. |
| agent_status | stringnull | Agent account status in Observe.ai. |
| source_partner_meeting_id | stringnull | Interaction identifier from the source/partner system. |
| provider_id | stringnull | Call/chat provider identifier, when available. |
| sequence | integernull | Sequence number for multi-segment interactions, when available. |
| interaction_url | stringnull | Deep link to the interaction in the Observe.ai application. |
| duration | integernull | Interaction duration in seconds. |
| language | stringnull | Detected or configured interaction language. |
| channel | stringnull | Interaction channel / entity type. |
| created_at | stringnull | UTC timestamp when the interaction record was created. |
| updated_at | stringnull | UTC timestamp when the interaction record was last modified. |
| interaction_start_time | stringnull | UTC timestamp when the interaction started. |
| interaction_meta_data | arraynull | Customer-defined metadata parameters attached to the interaction. Keys are account-specific. |
| transcripts | arraynull | Ordered transcript utterances for the interaction. Null or empty when transcripts are not included in export. |
| moment_categories | arraynull | Scorecard categories and detected moments for the interaction. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://observe.ai/schemas/bulk-export/v1/INTERACTION_V1.s3.schema.json",
"title": "INTERACTION_V1",
"description": "JSON schema for Observe.ai bulk S3 export of interaction records. Each file is gzip-compressed JSON (INTERACTION_V1_<timestamp>.json.gz) Each record is exported as one JSON object. Field names use lowercase snake_case.",
"type": "object",
"additionalProperties": false,
"required": [
"id",
"account_id",
"agent_id"
],
"properties": {
"id": {
"type": "string",
"description": "Primary key. Observe.ai interaction (meeting) identifier.",
"examples": [
"a1b2c3d4-e5f6-4789-a012-3456789abcde"
]
},
"account_id": {
"type": "string",
"description": "Observe.ai account identifier.",
"examples": [
"507f1f77bcf86cd799439011"
]
},
"agent_id": {
"type": "string",
"description": "Observe.ai user identifier for the agent on the interaction.",
"examples": [
"507f191e810c19729de860ea"
]
},
"partner_agent_id": {
"type": [
"array",
"null"
],
"description": "Partner-system agent identifiers linked to the Observe.ai agent.",
"items": {
"type": "string"
},
"examples": [
[
"12345"
]
]
},
"agent_name": {
"type": [
"string",
"null"
],
"description": "Full name of the agent.",
"examples": [
"maria gonzales"
]
},
"agent_email": {
"type": [
"string",
"null"
],
"format": "email",
"description": "Email address of the agent.",
"examples": [
"maria.gonzales@observeeats.com"
]
},
"agent_status": {
"type": [
"string",
"null"
],
"description": "Agent account status in Observe.ai.",
"enum": [
"ACTIVE",
"IN_ACTIVE",
null
],
"examples": [
"ACTIVE"
]
},
"source_partner_meeting_id": {
"type": [
"string",
"null"
],
"description": "Interaction identifier from the source/partner system.",
"examples": [
"b2c3d4e5-f6a7-4890-b123-456789abcdef",
"1756685103302.0"
]
},
"provider_id": {
"type": [
"string",
"null"
],
"description": "Call/chat provider identifier, when available.",
"examples": [
null
]
},
"sequence": {
"type": [
"integer",
"null"
],
"description": "Sequence number for multi-segment interactions, when available.",
"examples": [
null
]
},
"interaction_url": {
"type": [
"string",
"null"
],
"format": "uri",
"description": "Deep link to the interaction in the Observe.ai application.",
"examples": [
"https://app.observe.ai/call/a1b2c3d4-e5f6-4789-a012-3456789abcde"
]
},
"duration": {
"type": [
"integer",
"null"
],
"description": "Interaction duration in seconds.",
"examples": [
1380
]
},
"language": {
"type": [
"string",
"null"
],
"description": "Detected or configured interaction language.",
"examples": [
"ENGLISH"
]
},
"channel": {
"type": [
"string",
"null"
],
"description": "Interaction channel / entity type.",
"examples": [
"CHAT",
"EMAIL",
"CALL"
]
},
"created_at": {
"type": [
"string",
"null"
],
"format": "date-time",
"description": "UTC timestamp when the interaction record was created.",
"examples": [
"2025-09-02T00:17:51.243Z"
]
},
"updated_at": {
"type": [
"string",
"null"
],
"format": "date-time",
"description": "UTC timestamp when the interaction record was last modified.",
"examples": [
"2025-09-02T00:17:54.840Z"
]
},
"interaction_start_time": {
"type": [
"string",
"null"
],
"format": "date-time",
"description": "UTC timestamp when the interaction started.",
"examples": [
"2025-09-02T11:00:00Z"
]
},
"interaction_meta_data": {
"type": [
"array",
"null"
],
"description": "Customer-defined metadata parameters attached to the interaction. Keys are account-specific.",
"items": {
"$ref": "#/$defs/interaction_meta_data_item"
},
"examples": [
[
{
"name": "Order_Status",
"value": [
"Canceled"
]
}
]
]
},
"transcripts": {
"type": [
"array",
"null"
],
"description": "Ordered transcript utterances for the interaction. Null or empty when transcripts are not included in export.",
"items": {
"$ref": "#/$defs/transcript_utterance"
},
"examples": [
[
{
"start_time": 0,
"order": 0,
"end_time": 28500,
"phrase": "Thank you for reaching out to Observe Eats Partner Support, my name is Emily. How may I assist you today?",
"speaker": "AGENT"
}
]
]
},
"moment_categories": {
"type": [
"array",
"null"
],
"description": "Scorecard categories and detected moments for the interaction.",
"items": {
"$ref": "#/$defs/moment_category"
},
"examples": [
[
{
"moment_category_id": "c3d4e5f6-a7b8-4901-c234-567890abcdef",
"moment_category_name": "Process Adherence",
"moments": [
{
"moment_id": "d4e5f6a7-b8c9-4012-d345-678901abcdef",
"moment_name": "Greeting Compliance",
"moment_theme": "NEUTRAL",
"present": true,
"snippets": [
{
"confidence": 1,
"convId": 0,
"endTime": 1500,
"evidence": "Thank you",
"startTime": 0
}
]
}
]
}
]
]
}
},
"$defs": {
"interaction_meta_data_item": {
"type": "object",
"additionalProperties": false,
"required": [
"name",
"value"
],
"properties": {
"name": {
"type": "string",
"description": "Metadata field name configured for the account.",
"examples": [
"Order_Status",
"thread_id"
]
},
"value": {
"type": "array",
"description": "One or more values for the metadata field.",
"items": {
"type": "string"
},
"examples": [
[
"Canceled"
],
[
"1756685103302"
]
]
}
}
},
"transcript_utterance": {
"type": "object",
"additionalProperties": false,
"required": [
"start_time",
"order",
"end_time",
"phrase",
"speaker"
],
"properties": {
"start_time": {
"type": "integer",
"description": "Utterance start offset in milliseconds from interaction start.",
"examples": [
0,
10000
]
},
"order": {
"type": "integer",
"description": "Conversation turn order (conv_id from source transcript).",
"examples": [
0,
1
]
},
"end_time": {
"type": "integer",
"description": "Utterance end offset in milliseconds from interaction start.",
"examples": [
28500,
10200
]
},
"phrase": {
"type": "string",
"description": "Transcript text for the utterance.",
"examples": [
"hi there",
"thanks for calling support how can i help"
]
},
"speaker": {
"type": "string",
"description": "Speaker label for the utterance.",
"enum": [
"AGENT",
"CUSTOMER"
],
"examples": [
"AGENT",
"CUSTOMER"
]
}
}
},
"moment_category": {
"type": "object",
"additionalProperties": false,
"required": [
"moment_category_id",
"moment_category_name",
"moments"
],
"properties": {
"moment_category_id": {
"type": "string",
"description": "Scorecard / moment category identifier.",
"examples": [
"c3d4e5f6-a7b8-4901-c234-567890abcdef"
]
},
"moment_category_name": {
"type": "string",
"description": "Scorecard / moment category display name.",
"examples": [
"Process Adherence",
"Compliance & AHT"
]
},
"moments": {
"type": "array",
"description": "Moments (criteria) evaluated under this category.",
"items": {
"$ref": "#/$defs/moment"
}
}
}
},
"moment": {
"type": "object",
"additionalProperties": false,
"required": [
"moment_id",
"moment_name",
"moment_theme",
"present",
"snippets"
],
"properties": {
"moment_id": {
"type": "string",
"description": "Moment (criteria) identifier.",
"examples": [
"d4e5f6a7-b8c9-4012-d345-678901abcdef"
]
},
"moment_name": {
"type": "string",
"description": "Moment (criteria) display name.",
"examples": [
"Greeting Compliance",
"Voicemail"
]
},
"moment_theme": {
"type": "string",
"description": "Theme associated with the moment.",
"examples": [
"NEUTRAL",
"POSITIVE",
"NEGATIVE"
]
},
"present": {
"type": "boolean",
"description": "Whether the moment was detected on the interaction.",
"examples": [
true,
false
]
},
"snippets": {
"type": "array",
"description": "Evidence snippets supporting moment detection. Uses camelCase field names from source criteria data.",
"items": {
"$ref": "#/$defs/moment_snippet"
}
}
}
},
"moment_snippet": {
"type": "object",
"additionalProperties": false,
"required": [
"confidence",
"convId",
"endTime",
"evidence",
"startTime"
],
"properties": {
"confidence": {
"type": "number",
"description": "Detection confidence score.",
"examples": [
1,
0.9106445233333332
]
},
"convId": {
"type": "integer",
"description": "Conversation turn identifier for the evidence snippet.",
"examples": [
0,
6
]
},
"driver": {
"type": [
"string",
"null"
],
"description": "Driver label associated with the snippet, if applicable."
},
"endTime": {
"type": "integer",
"description": "Evidence end offset in milliseconds.",
"examples": [
1500,
21326
]
},
"evidence": {
"type": "string",
"description": "Matched phrase or evidence text.",
"examples": [
"Thank you",
"voice mail of"
]
},
"modelConfidence": {
"type": "number",
"description": "Model-level detection confidence score.",
"examples": [
0,
0.9106445233333332
]
},
"startTime": {
"type": "integer",
"description": "Evidence start offset in milliseconds.",
"examples": [
0,
20927
]
}
}
}
}
}