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POST
/
ask_attention
/
v2
Ask Attention V2
curl --request POST \
  --url https://api.attention.tech/v2/ask_attention/v2 \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "conversations_ids": [],
  "deal_id": "conv_123",
  "prompt": "Customer mentioned budget constraints but showed interest in premium features"
}
'
[
  {
    "output": "Yes, this is an example of an 'Ask Attention' response",
    "conversation_id": "conv_uuid_1",
    "error": "",
    "segments": [
      {
        "start_sec": 120.5,
        "end_sec": 135,
        "text": "Speaker A discusses pricing and discounts."
      }
    ]
  },
  {
    "output": "Yes, this is another example of an 'Ask Attention' response",
    "conversation_id": "conv_uuid_2",
    "error": "",
    "segments": [
      {
        "start_sec": 45,
        "end_sec": 62.5,
        "text": "Speaker B asks about the integration timeline."
      }
    ]
  }
]

Authorizations

​
Authorization
string
header
required

Query Parameters

​
include_timestamps
boolean

When true, return timestamped segments (start/end seconds + excerpt) for each conversation alongside the textual answer.

Body

Request containing the content to be analyzed and analysis parameters

​
conversations_ids
string[]
required
Maximum string length: 50
​
deal_id
string
required
​
prompt
string
required

Response

Content successfully analyzed with attention points identified

​
output
string
required
​
conversation_id
string
required
​
error
string
required
​
segments
object[]

Optional timestamped segments relevant to the answer (present when include_timestamps=true).

Example:
[
  {
    "output": "Yes, this is an example of an 'Ask Attention' response",
    "conversation_id": "conv_uuid_1",
    "error": "",
    "segments": [
      {
        "start_sec": 120.5,
        "end_sec": 135,
        "text": "Speaker A discusses pricing and discounts."
      }
    ]
  },
  {
    "output": "Yes, this is another example of an 'Ask Attention' response",
    "conversation_id": "conv_uuid_2",
    "error": "",
    "segments": [
      {
        "start_sec": 45,
        "end_sec": 62.5,
        "text": "Speaker B asks about the integration timeline."
      }
    ]
  }
]