Build a person from reference faces
curl --request POST \
--url https://api.memories.ai/datalake/v1/persons \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"collection_id": "col_xxx",
"name": "Alice",
"faces": [
"https://cdn/alice-1.jpg"
],
"metadata": {
"consent_reference": "c-001"
}
}
'import requests
url = "https://api.memories.ai/datalake/v1/persons"
payload = {
"collection_id": "col_xxx",
"name": "Alice",
"faces": ["https://cdn/alice-1.jpg"],
"metadata": { "consent_reference": "c-001" }
}
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
collection_id: 'col_xxx',
name: 'Alice',
faces: ['https://cdn/alice-1.jpg'],
metadata: {consent_reference: 'c-001'}
})
};
fetch('https://api.memories.ai/datalake/v1/persons', 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.memories.ai/datalake/v1/persons",
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([
'collection_id' => 'col_xxx',
'name' => 'Alice',
'faces' => [
'https://cdn/alice-1.jpg'
],
'metadata' => [
'consent_reference' => 'c-001'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.memories.ai/datalake/v1/persons"
payload := strings.NewReader("{\n \"collection_id\": \"col_xxx\",\n \"name\": \"Alice\",\n \"faces\": [\n \"https://cdn/alice-1.jpg\"\n ],\n \"metadata\": {\n \"consent_reference\": \"c-001\"\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<api-key>")
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.memories.ai/datalake/v1/persons")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"collection_id\": \"col_xxx\",\n \"name\": \"Alice\",\n \"faces\": [\n \"https://cdn/alice-1.jpg\"\n ],\n \"metadata\": {\n \"consent_reference\": \"c-001\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.memories.ai/datalake/v1/persons")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"collection_id\": \"col_xxx\",\n \"name\": \"Alice\",\n \"faces\": [\n \"https://cdn/alice-1.jpg\"\n ],\n \"metadata\": {\n \"consent_reference\": \"c-001\"\n }\n}"
response = http.request(request)
puts response.read_body{
"person_id": "per_xxx",
"status": "processing",
"operation": "op_xxx"
}Persons (Face Library)
Create Person
Build a person from reference faces
POST
/
datalake
/
v1
/
persons
Build a person from reference faces
curl --request POST \
--url https://api.memories.ai/datalake/v1/persons \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"collection_id": "col_xxx",
"name": "Alice",
"faces": [
"https://cdn/alice-1.jpg"
],
"metadata": {
"consent_reference": "c-001"
}
}
'import requests
url = "https://api.memories.ai/datalake/v1/persons"
payload = {
"collection_id": "col_xxx",
"name": "Alice",
"faces": ["https://cdn/alice-1.jpg"],
"metadata": { "consent_reference": "c-001" }
}
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
collection_id: 'col_xxx',
name: 'Alice',
faces: ['https://cdn/alice-1.jpg'],
metadata: {consent_reference: 'c-001'}
})
};
fetch('https://api.memories.ai/datalake/v1/persons', 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.memories.ai/datalake/v1/persons",
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([
'collection_id' => 'col_xxx',
'name' => 'Alice',
'faces' => [
'https://cdn/alice-1.jpg'
],
'metadata' => [
'consent_reference' => 'c-001'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.memories.ai/datalake/v1/persons"
payload := strings.NewReader("{\n \"collection_id\": \"col_xxx\",\n \"name\": \"Alice\",\n \"faces\": [\n \"https://cdn/alice-1.jpg\"\n ],\n \"metadata\": {\n \"consent_reference\": \"c-001\"\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<api-key>")
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.memories.ai/datalake/v1/persons")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"collection_id\": \"col_xxx\",\n \"name\": \"Alice\",\n \"faces\": [\n \"https://cdn/alice-1.jpg\"\n ],\n \"metadata\": {\n \"consent_reference\": \"c-001\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.memories.ai/datalake/v1/persons")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"collection_id\": \"col_xxx\",\n \"name\": \"Alice\",\n \"faces\": [\n \"https://cdn/alice-1.jpg\"\n ],\n \"metadata\": {\n \"consent_reference\": \"c-001\"\n }\n}"
response = http.request(request)
puts response.read_body{
"person_id": "per_xxx",
"status": "processing",
"operation": "op_xxx"
}Product: Video Datalake
Host:
https://api.memories.ai/datalake/v1
Auth: Authorization: sk-mai-...face_recognition_enabled: true and a compliance token — metadata.consent_reference on the person or consent_document on the collection. If any image has no detectable face, the build fails (no_face).
Pricing: $0.00005 / reference image · See Pricing for the full model.
Persons hold biometric data. Always supply a real
consent_reference — never fabricate one.Response Fields
string
New person ID (
per_ prefix).string
Build Operation; poll to
ready.Authorizations
Send Authorization: sk-mai-...
Body
application/json
Response
200 - application/json
Success
⌘I
