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POST
/
meetings
/
{id}
/
schemas
/
{schemaId}
/
run
cURL
curl -X POST https://app.mavera.io/api/v1/meetings/meeting_123/schemas/schema_456/run \
  -H "Authorization: Bearer mvra_live_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{}'
{
  "id": "<string>",
  "object": "meeting.schema_result",
  "meeting_id": "<string>",
  "schema_id": "<string>",
  "schema_name": "<string>",
  "schema_category": "sales_discovery",
  "field_values": [
    {
      "field_name": "<string>",
      "field_label": "<string>",
      "field_type": "text",
      "is_required": true,
      "value": "<unknown>",
      "quote": "<string>",
      "confidence": 123,
      "score": 123,
      "score_rationale": "<string>"
    }
  ],
  "scores": {},
  "overall_score": 123,
  "evidence": [
    {
      "field_name": "<string>",
      "text": "<string>",
      "speaker": "<string>",
      "speaker_id": "<string>",
      "timestamp_start": 123,
      "timestamp_end": 123
    }
  ],
  "processing_time_ms": 123,
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z"
}

Documentation Index

Fetch the complete documentation index at: https://docs.mavera.io/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

API key prefixed with mvra_live_. Create keys at Settings > Developer > API Keys.

Path Parameters

​
id
string
required

Meeting ID

​
schemaId
string
required

Schema ID to run

Body

application/json
​
model
string
default:gpt-5.4

AI model to use for extraction

​
temperature
number
default:0.2

Model temperature (lower = more deterministic)

Required range: 0 <= x <= 2
​
force_new
boolean
default:false

Force creating a new result even if one exists

Response

Schema run result

​
id
string
​
object
enum<string>
Available options:
meeting.schema_result
​
meeting_id
string
​
schema_id
string
​
schema_name
string
​
schema_category
enum<string>

Category of the meeting schema

Available options:
sales_discovery,
qualification,
objection_competitor,
cs_health,
product_feedback,
custom
​
field_values
object[]
​
scores
object

Scores per field

​
overall_score
number | null

Average score across all scored fields

​
evidence
object[]

Evidence spans from transcript

​
processing_time_ms
integer
​
created_at
string<date-time>
​
updated_at
string<date-time>