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POST
/
v1
/
memory
/
{memory_id}
/
user
Get User Memory Details
curl --request POST \
  --url https://api.bland.ai/v1/memory/{memory_id}/user \
  --header 'Content-Type: application/json' \
  --header 'authorization: <authorization>' \
  --data '
{
  "phone_number": "<string>",
  "external_memory_key": "<string>"
}
'
import requests

url = "https://api.bland.ai/v1/memory/{memory_id}/user"

payload = {
"phone_number": "<string>",
"external_memory_key": "<string>"
}
headers = {
"authorization": "<authorization>",
"Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
method: 'POST',
headers: {authorization: '<authorization>', 'Content-Type': 'application/json'},
body: JSON.stringify({phone_number: '<string>', external_memory_key: '<string>'})
};

fetch('https://api.bland.ai/v1/memory/{memory_id}/user', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
CURLOPT_URL => "https://api.bland.ai/v1/memory/{memory_id}/user",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'phone_number' => '<string>',
'external_memory_key' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"authorization: <authorization>"
],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}
package main

import (
"fmt"
"strings"
"net/http"
"io"
)

func main() {

url := "https://api.bland.ai/v1/memory/{memory_id}/user"

payload := strings.NewReader("{\n \"phone_number\": \"<string>\",\n \"external_memory_key\": \"<string>\"\n}")

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("authorization", "<authorization>")
req.Header.Add("Content-Type", "application/json")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()
body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://api.bland.ai/v1/memory/{memory_id}/user")
.header("authorization", "<authorization>")
.header("Content-Type", "application/json")
.body("{\n \"phone_number\": \"<string>\",\n \"external_memory_key\": \"<string>\"\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.bland.ai/v1/memory/{memory_id}/user")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["authorization"] = '<authorization>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"phone_number\": \"<string>\",\n \"external_memory_key\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body
{
  "data": {
    "metadata": "25 year old customer from New York",
    "summary": "The user had previously discussed their startup and had a follow-up conversation, asking questions about AI and the future of their business.",
    "last_call_at": "2025-07-22T05:19:46.000Z",
    "call_count": 1,
    "calls": [
      {
        "c_id": "aaaaaaaa-bbbb-cccc-dddd-eeeeffffgggg",
        "created_at": "2025-07-22T05:19:37.314Z",
        "summary": "The call appears to be a follow-up conversation about the user's startup, asking questions about AI and the future of their business.",
        "answered_by": "human",
        "call_length": 0.3,
        "inbound": false
      }
    ]
  },
  "errors": null
}
{
  "data": null,
  "errors": [
    {
      "error": "MEMORY_ERROR",
      "message": "Failed to retrieve memory data."
    }
  ]
}

Headers

authorization
string
required
Your API key for authentication.

Path Parameters

memory_id
string
required
The unique identifier of the memory.

Body Parameters

phone_number
string
required
The phone number of the user to retrieve memory details for.
external_memory_key
string
Optional external key for additional memory validation or cross-referencing.

Response

data
object
User memory data.
data.metadata
string
Custom metadata text associated with this user’s memory entry.
data.summary
string
AI-generated summary of interactions with this user.
data.last_call_at
string
ISO timestamp of the most recent call with this user.
data.call_count
number
Total number of calls with this user.
data.calls
array
Array of call objects associated with this user.
data.calls[].c_id
string
Unique identifier for the call.
data.calls[].created_at
string
ISO timestamp when the call was made.
data.calls[].summary
string
AI-generated summary of this specific call.
data.calls[].answered_by
string
Who answered the call (e.g., “human”, “ai”).
data.calls[].call_length
number
Call duration in minutes.
data.calls[].inbound
boolean
Whether this was an inbound call (true) or outbound call (false).
errors
null
Error array (null on success).
{
  "data": {
    "metadata": "25 year old customer from New York",
    "summary": "The user had previously discussed their startup and had a follow-up conversation, asking questions about AI and the future of their business.",
    "last_call_at": "2025-07-22T05:19:46.000Z",
    "call_count": 1,
    "calls": [
      {
        "c_id": "aaaaaaaa-bbbb-cccc-dddd-eeeeffffgggg",
        "created_at": "2025-07-22T05:19:37.314Z",
        "summary": "The call appears to be a follow-up conversation about the user's startup, asking questions about AI and the future of their business.",
        "answered_by": "human",
        "call_length": 0.3,
        "inbound": false
      }
    ]
  },
  "errors": null
}
{
  "data": null,
  "errors": [
    {
      "error": "MEMORY_ERROR",
      "message": "Failed to retrieve memory data."
    }
  ]
}

Docs for agents: llms.txt