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POST
/
v1
/
sms
/
analyze
SMS Conversation Analysis
curl --request POST \
  --url https://api.bland.ai/v1/sms/analyze \
  --header 'Content-Type: application/json' \
  --header 'authorization: <authorization>' \
  --data '
{
  "schema_id": "<string>",
  "conversation_id": "<string>"
}
'
{
    "data": {
        "status": "success",
        "conversation_id": "conv_123456",
        "schema_id": "schema_789",
        "schema_name": "Customer Intent Analysis",
        "variables_extracted": 5,
        "extracted_variables": {
            "customer_name": "John Smith",
            "preferred_time": "morning",
            "service_type": "moving",
            "urgency": "high",
            "budget_range": "$500-1000"
        },
        "citations": [
            {
                "variable": "customer_name",
                "message": "Hi, this is John Smith calling about...",
                "confidence": 0.95
            }
        ],
        "messages_processed": 12
    },
    "errors": []
}

Documentation Index

Fetch the complete documentation index at: https://docs.bland.ai/llms.txt

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

​
Headers

​
authorization
string
required
Your API key for authentication.

​
Body

​
schema_id
string
required
The ID of the citation schema to use for extracting variables from the SMS conversation.
​
conversation_id
string
required
The ID of the SMS conversation to analyze.

​
Response

​
data
object
The response data containing analysis results.
​
errors
array
An array of error objects. Empty array when the request is successful.
{
    "data": {
        "status": "success",
        "conversation_id": "conv_123456",
        "schema_id": "schema_789",
        "schema_name": "Customer Intent Analysis",
        "variables_extracted": 5,
        "extracted_variables": {
            "customer_name": "John Smith",
            "preferred_time": "morning",
            "service_type": "moving",
            "urgency": "high",
            "budget_range": "$500-1000"
        },
        "citations": [
            {
                "variable": "customer_name",
                "message": "Hi, this is John Smith calling about...",
                "confidence": 0.95
            }
        ],
        "messages_processed": 12
    },
    "errors": []
}
Docs for agents: llms.txt