Create a QA agent
curl --request POST \
--url https://{subdomain}.mihu.ai/api/v1/qa-agents \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data @- <<EOF
{
"name": "Support QA Agent",
"description": "Evaluates support conversations for empathy and compliance",
"evaluates_agent_type": "human",
"language": "English",
"is_default": true,
"skills": [
{
"name": "Greeting",
"weight": 15,
"description": "Professional opening and introduction"
},
{
"name": "Empathy",
"weight": 20,
"description": "Understanding and acknowledging customer concerns",
"positive_items": [
{
"name": "Used the customer's name",
"points": 5
}
],
"penalty_items": [
{
"name": "Interrupted the customer",
"penalty_points": -5
}
]
},
{
"name": "Compliance",
"weight": 25,
"description": "Adherence to regulatory and company policies"
},
{
"name": "Resolution",
"weight": 25,
"description": "Effective problem solving and issue resolution"
},
{
"name": "Sales",
"weight": 15,
"description": "Upselling and cross-selling opportunities"
}
]
}
EOFimport requests
url = "https://{subdomain}.mihu.ai/api/v1/qa-agents"
payload = {
"name": "Support QA Agent",
"description": "Evaluates support conversations for empathy and compliance",
"evaluates_agent_type": "human",
"language": "English",
"is_default": True,
"skills": [
{
"name": "Greeting",
"weight": 15,
"description": "Professional opening and introduction"
},
{
"name": "Empathy",
"weight": 20,
"description": "Understanding and acknowledging customer concerns",
"positive_items": [
{
"name": "Used the customer's name",
"points": 5
}
],
"penalty_items": [
{
"name": "Interrupted the customer",
"penalty_points": -5
}
]
},
{
"name": "Compliance",
"weight": 25,
"description": "Adherence to regulatory and company policies"
},
{
"name": "Resolution",
"weight": 25,
"description": "Effective problem solving and issue resolution"
},
{
"name": "Sales",
"weight": 15,
"description": "Upselling and cross-selling opportunities"
}
]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
name: 'Support QA Agent',
description: 'Evaluates support conversations for empathy and compliance',
evaluates_agent_type: 'human',
language: 'English',
is_default: true,
skills: [
{
name: 'Greeting',
weight: 15,
description: 'Professional opening and introduction'
},
{
name: 'Empathy',
weight: 20,
description: 'Understanding and acknowledging customer concerns',
positive_items: [{name: 'Used the customer\'s name', points: 5}],
penalty_items: [{name: 'Interrupted the customer', penalty_points: -5}]
},
{
name: 'Compliance',
weight: 25,
description: 'Adherence to regulatory and company policies'
},
{
name: 'Resolution',
weight: 25,
description: 'Effective problem solving and issue resolution'
},
{
name: 'Sales',
weight: 15,
description: 'Upselling and cross-selling opportunities'
}
]
})
};
fetch('https://{subdomain}.mihu.ai/api/v1/qa-agents', 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://{subdomain}.mihu.ai/api/v1/qa-agents",
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([
'name' => 'Support QA Agent',
'description' => 'Evaluates support conversations for empathy and compliance',
'evaluates_agent_type' => 'human',
'language' => 'English',
'is_default' => true,
'skills' => [
[
'name' => 'Greeting',
'weight' => 15,
'description' => 'Professional opening and introduction'
],
[
'name' => 'Empathy',
'weight' => 20,
'description' => 'Understanding and acknowledging customer concerns',
'positive_items' => [
[
'name' => 'Used the customer\'s name',
'points' => 5
]
],
'penalty_items' => [
[
'name' => 'Interrupted the customer',
'penalty_points' => -5
]
]
],
[
'name' => 'Compliance',
'weight' => 25,
'description' => 'Adherence to regulatory and company policies'
],
[
'name' => 'Resolution',
'weight' => 25,
'description' => 'Effective problem solving and issue resolution'
],
[
'name' => 'Sales',
'weight' => 15,
'description' => 'Upselling and cross-selling opportunities'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"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://{subdomain}.mihu.ai/api/v1/qa-agents"
payload := strings.NewReader("{\n \"name\": \"Support QA Agent\",\n \"description\": \"Evaluates support conversations for empathy and compliance\",\n \"evaluates_agent_type\": \"human\",\n \"language\": \"English\",\n \"is_default\": true,\n \"skills\": [\n {\n \"name\": \"Greeting\",\n \"weight\": 15,\n \"description\": \"Professional opening and introduction\"\n },\n {\n \"name\": \"Empathy\",\n \"weight\": 20,\n \"description\": \"Understanding and acknowledging customer concerns\",\n \"positive_items\": [\n {\n \"name\": \"Used the customer's name\",\n \"points\": 5\n }\n ],\n \"penalty_items\": [\n {\n \"name\": \"Interrupted the customer\",\n \"penalty_points\": -5\n }\n ]\n },\n {\n \"name\": \"Compliance\",\n \"weight\": 25,\n \"description\": \"Adherence to regulatory and company policies\"\n },\n {\n \"name\": \"Resolution\",\n \"weight\": 25,\n \"description\": \"Effective problem solving and issue resolution\"\n },\n {\n \"name\": \"Sales\",\n \"weight\": 15,\n \"description\": \"Upselling and cross-selling opportunities\"\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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://{subdomain}.mihu.ai/api/v1/qa-agents")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"Support QA Agent\",\n \"description\": \"Evaluates support conversations for empathy and compliance\",\n \"evaluates_agent_type\": \"human\",\n \"language\": \"English\",\n \"is_default\": true,\n \"skills\": [\n {\n \"name\": \"Greeting\",\n \"weight\": 15,\n \"description\": \"Professional opening and introduction\"\n },\n {\n \"name\": \"Empathy\",\n \"weight\": 20,\n \"description\": \"Understanding and acknowledging customer concerns\",\n \"positive_items\": [\n {\n \"name\": \"Used the customer's name\",\n \"points\": 5\n }\n ],\n \"penalty_items\": [\n {\n \"name\": \"Interrupted the customer\",\n \"penalty_points\": -5\n }\n ]\n },\n {\n \"name\": \"Compliance\",\n \"weight\": 25,\n \"description\": \"Adherence to regulatory and company policies\"\n },\n {\n \"name\": \"Resolution\",\n \"weight\": 25,\n \"description\": \"Effective problem solving and issue resolution\"\n },\n {\n \"name\": \"Sales\",\n \"weight\": 15,\n \"description\": \"Upselling and cross-selling opportunities\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://{subdomain}.mihu.ai/api/v1/qa-agents")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"name\": \"Support QA Agent\",\n \"description\": \"Evaluates support conversations for empathy and compliance\",\n \"evaluates_agent_type\": \"human\",\n \"language\": \"English\",\n \"is_default\": true,\n \"skills\": [\n {\n \"name\": \"Greeting\",\n \"weight\": 15,\n \"description\": \"Professional opening and introduction\"\n },\n {\n \"name\": \"Empathy\",\n \"weight\": 20,\n \"description\": \"Understanding and acknowledging customer concerns\",\n \"positive_items\": [\n {\n \"name\": \"Used the customer's name\",\n \"points\": 5\n }\n ],\n \"penalty_items\": [\n {\n \"name\": \"Interrupted the customer\",\n \"penalty_points\": -5\n }\n ]\n },\n {\n \"name\": \"Compliance\",\n \"weight\": 25,\n \"description\": \"Adherence to regulatory and company policies\"\n },\n {\n \"name\": \"Resolution\",\n \"weight\": 25,\n \"description\": \"Effective problem solving and issue resolution\"\n },\n {\n \"name\": \"Sales\",\n \"weight\": 15,\n \"description\": \"Upselling and cross-selling opportunities\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"message": "QA agent created successfully",
"data": {
"uuid": "7e1c9b3a-5d2f-4c8e-b6a1-0f9d8c7b6a5e",
"name": "Support QA Agent",
"description": "Evaluates support conversations for empathy and compliance",
"evaluates_agent_type": "human",
"is_active": true,
"is_default": true,
"evaluation_model": "advanced",
"strictness_level": 70,
"confidence_threshold": 85,
"auto_fail_threshold": 3,
"language": "English",
"custom_instructions": "Focus on product knowledge when evaluating technical support calls.",
"automatic_scoring": true,
"sentiment_analysis": true,
"compliance_checking": true,
"skills": [
{
"uuid": "9c2f5a44-1b7e-4f4a-9a6c-3d2f8e7b1c0a",
"name": "Empathy",
"description": "Understanding and acknowledging customer concerns",
"weight": 20,
"max_score": 10,
"ai_evaluation_prompt": "Evaluate whether the agent acknowledged the customer's feelings.",
"positive_items": [
{
"name": "Used the customer's name",
"points": 5
}
],
"penalty_items": [
{
"name": "Interrupted the customer",
"penalty_points": -5,
"is_auto_fail": false
}
],
"order": 2,
"is_custom": false
}
],
"total_weight": 100,
"weights_balanced": true,
"created_at": "2026-06-04T10:15:30+00:00",
"updated_at": "2026-06-04T10:15:30+00:00"
}
}{
"success": false,
"message": "Agent not found",
"data": []
}{
"success": false,
"message": "Agent not found",
"data": []
}{
"success": false,
"message": "Agent not found",
"data": []
}{
"success": false,
"message": "Agent not found",
"data": []
}QA Agents
Create a QA agent
Creates a QA agent with its scorecard. Send skills to define your own scorecard (weights must total 100%), or leave it out to start with the standard one: Greeting 15%, Empathy 20%, Compliance 25%, Resolution 25%, Sales 15%. Your first QA agent automatically becomes the default.
POST
/
api
/
v1
/
qa-agents
Create a QA agent
curl --request POST \
--url https://{subdomain}.mihu.ai/api/v1/qa-agents \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data @- <<EOF
{
"name": "Support QA Agent",
"description": "Evaluates support conversations for empathy and compliance",
"evaluates_agent_type": "human",
"language": "English",
"is_default": true,
"skills": [
{
"name": "Greeting",
"weight": 15,
"description": "Professional opening and introduction"
},
{
"name": "Empathy",
"weight": 20,
"description": "Understanding and acknowledging customer concerns",
"positive_items": [
{
"name": "Used the customer's name",
"points": 5
}
],
"penalty_items": [
{
"name": "Interrupted the customer",
"penalty_points": -5
}
]
},
{
"name": "Compliance",
"weight": 25,
"description": "Adherence to regulatory and company policies"
},
{
"name": "Resolution",
"weight": 25,
"description": "Effective problem solving and issue resolution"
},
{
"name": "Sales",
"weight": 15,
"description": "Upselling and cross-selling opportunities"
}
]
}
EOFimport requests
url = "https://{subdomain}.mihu.ai/api/v1/qa-agents"
payload = {
"name": "Support QA Agent",
"description": "Evaluates support conversations for empathy and compliance",
"evaluates_agent_type": "human",
"language": "English",
"is_default": True,
"skills": [
{
"name": "Greeting",
"weight": 15,
"description": "Professional opening and introduction"
},
{
"name": "Empathy",
"weight": 20,
"description": "Understanding and acknowledging customer concerns",
"positive_items": [
{
"name": "Used the customer's name",
"points": 5
}
],
"penalty_items": [
{
"name": "Interrupted the customer",
"penalty_points": -5
}
]
},
{
"name": "Compliance",
"weight": 25,
"description": "Adherence to regulatory and company policies"
},
{
"name": "Resolution",
"weight": 25,
"description": "Effective problem solving and issue resolution"
},
{
"name": "Sales",
"weight": 15,
"description": "Upselling and cross-selling opportunities"
}
]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
name: 'Support QA Agent',
description: 'Evaluates support conversations for empathy and compliance',
evaluates_agent_type: 'human',
language: 'English',
is_default: true,
skills: [
{
name: 'Greeting',
weight: 15,
description: 'Professional opening and introduction'
},
{
name: 'Empathy',
weight: 20,
description: 'Understanding and acknowledging customer concerns',
positive_items: [{name: 'Used the customer\'s name', points: 5}],
penalty_items: [{name: 'Interrupted the customer', penalty_points: -5}]
},
{
name: 'Compliance',
weight: 25,
description: 'Adherence to regulatory and company policies'
},
{
name: 'Resolution',
weight: 25,
description: 'Effective problem solving and issue resolution'
},
{
name: 'Sales',
weight: 15,
description: 'Upselling and cross-selling opportunities'
}
]
})
};
fetch('https://{subdomain}.mihu.ai/api/v1/qa-agents', 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://{subdomain}.mihu.ai/api/v1/qa-agents",
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([
'name' => 'Support QA Agent',
'description' => 'Evaluates support conversations for empathy and compliance',
'evaluates_agent_type' => 'human',
'language' => 'English',
'is_default' => true,
'skills' => [
[
'name' => 'Greeting',
'weight' => 15,
'description' => 'Professional opening and introduction'
],
[
'name' => 'Empathy',
'weight' => 20,
'description' => 'Understanding and acknowledging customer concerns',
'positive_items' => [
[
'name' => 'Used the customer\'s name',
'points' => 5
]
],
'penalty_items' => [
[
'name' => 'Interrupted the customer',
'penalty_points' => -5
]
]
],
[
'name' => 'Compliance',
'weight' => 25,
'description' => 'Adherence to regulatory and company policies'
],
[
'name' => 'Resolution',
'weight' => 25,
'description' => 'Effective problem solving and issue resolution'
],
[
'name' => 'Sales',
'weight' => 15,
'description' => 'Upselling and cross-selling opportunities'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"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://{subdomain}.mihu.ai/api/v1/qa-agents"
payload := strings.NewReader("{\n \"name\": \"Support QA Agent\",\n \"description\": \"Evaluates support conversations for empathy and compliance\",\n \"evaluates_agent_type\": \"human\",\n \"language\": \"English\",\n \"is_default\": true,\n \"skills\": [\n {\n \"name\": \"Greeting\",\n \"weight\": 15,\n \"description\": \"Professional opening and introduction\"\n },\n {\n \"name\": \"Empathy\",\n \"weight\": 20,\n \"description\": \"Understanding and acknowledging customer concerns\",\n \"positive_items\": [\n {\n \"name\": \"Used the customer's name\",\n \"points\": 5\n }\n ],\n \"penalty_items\": [\n {\n \"name\": \"Interrupted the customer\",\n \"penalty_points\": -5\n }\n ]\n },\n {\n \"name\": \"Compliance\",\n \"weight\": 25,\n \"description\": \"Adherence to regulatory and company policies\"\n },\n {\n \"name\": \"Resolution\",\n \"weight\": 25,\n \"description\": \"Effective problem solving and issue resolution\"\n },\n {\n \"name\": \"Sales\",\n \"weight\": 15,\n \"description\": \"Upselling and cross-selling opportunities\"\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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://{subdomain}.mihu.ai/api/v1/qa-agents")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"Support QA Agent\",\n \"description\": \"Evaluates support conversations for empathy and compliance\",\n \"evaluates_agent_type\": \"human\",\n \"language\": \"English\",\n \"is_default\": true,\n \"skills\": [\n {\n \"name\": \"Greeting\",\n \"weight\": 15,\n \"description\": \"Professional opening and introduction\"\n },\n {\n \"name\": \"Empathy\",\n \"weight\": 20,\n \"description\": \"Understanding and acknowledging customer concerns\",\n \"positive_items\": [\n {\n \"name\": \"Used the customer's name\",\n \"points\": 5\n }\n ],\n \"penalty_items\": [\n {\n \"name\": \"Interrupted the customer\",\n \"penalty_points\": -5\n }\n ]\n },\n {\n \"name\": \"Compliance\",\n \"weight\": 25,\n \"description\": \"Adherence to regulatory and company policies\"\n },\n {\n \"name\": \"Resolution\",\n \"weight\": 25,\n \"description\": \"Effective problem solving and issue resolution\"\n },\n {\n \"name\": \"Sales\",\n \"weight\": 15,\n \"description\": \"Upselling and cross-selling opportunities\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://{subdomain}.mihu.ai/api/v1/qa-agents")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"name\": \"Support QA Agent\",\n \"description\": \"Evaluates support conversations for empathy and compliance\",\n \"evaluates_agent_type\": \"human\",\n \"language\": \"English\",\n \"is_default\": true,\n \"skills\": [\n {\n \"name\": \"Greeting\",\n \"weight\": 15,\n \"description\": \"Professional opening and introduction\"\n },\n {\n \"name\": \"Empathy\",\n \"weight\": 20,\n \"description\": \"Understanding and acknowledging customer concerns\",\n \"positive_items\": [\n {\n \"name\": \"Used the customer's name\",\n \"points\": 5\n }\n ],\n \"penalty_items\": [\n {\n \"name\": \"Interrupted the customer\",\n \"penalty_points\": -5\n }\n ]\n },\n {\n \"name\": \"Compliance\",\n \"weight\": 25,\n \"description\": \"Adherence to regulatory and company policies\"\n },\n {\n \"name\": \"Resolution\",\n \"weight\": 25,\n \"description\": \"Effective problem solving and issue resolution\"\n },\n {\n \"name\": \"Sales\",\n \"weight\": 15,\n \"description\": \"Upselling and cross-selling opportunities\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"message": "QA agent created successfully",
"data": {
"uuid": "7e1c9b3a-5d2f-4c8e-b6a1-0f9d8c7b6a5e",
"name": "Support QA Agent",
"description": "Evaluates support conversations for empathy and compliance",
"evaluates_agent_type": "human",
"is_active": true,
"is_default": true,
"evaluation_model": "advanced",
"strictness_level": 70,
"confidence_threshold": 85,
"auto_fail_threshold": 3,
"language": "English",
"custom_instructions": "Focus on product knowledge when evaluating technical support calls.",
"automatic_scoring": true,
"sentiment_analysis": true,
"compliance_checking": true,
"skills": [
{
"uuid": "9c2f5a44-1b7e-4f4a-9a6c-3d2f8e7b1c0a",
"name": "Empathy",
"description": "Understanding and acknowledging customer concerns",
"weight": 20,
"max_score": 10,
"ai_evaluation_prompt": "Evaluate whether the agent acknowledged the customer's feelings.",
"positive_items": [
{
"name": "Used the customer's name",
"points": 5
}
],
"penalty_items": [
{
"name": "Interrupted the customer",
"penalty_points": -5,
"is_auto_fail": false
}
],
"order": 2,
"is_custom": false
}
],
"total_weight": 100,
"weights_balanced": true,
"created_at": "2026-06-04T10:15:30+00:00",
"updated_at": "2026-06-04T10:15:30+00:00"
}
}{
"success": false,
"message": "Agent not found",
"data": []
}{
"success": false,
"message": "Agent not found",
"data": []
}{
"success": false,
"message": "Agent not found",
"data": []
}{
"success": false,
"message": "Agent not found",
"data": []
}Authorizations
Use a Bearer token to access these API endpoints. Example: "Bearer {your-token}"
Body
application/json
Create/update payload. On update only the fields you send are changed.
Maximum string length:
255Example:
"Support QA Agent"
Example:
"Evaluates support conversations for empathy and compliance"
Who this QA agent evaluates: human agents, AI agents, or both.
Available options:
human, ai, both Example:
"human"
Example:
true
Send true to make this the default evaluator. To move the default away from an agent, set another one as default.
Example:
false
Maximum string length:
50Example:
"advanced"
How strictly conversations are scored. Higher = harsher.
Required range:
0 <= x <= 100Example:
70
Minimum AI confidence (%) for a score to be applied.
Required range:
0 <= x <= 100Example:
85
Number of critical violations after which an evaluation fails automatically.
Required range:
0 <= x <= 10Example:
3
Language for evaluation reports and feedback.
Maximum string length:
50Example:
"English"
Extra guidance applied to every evaluation.
Example:
"Focus on product knowledge when evaluating technical support calls."
Example:
true
Example:
true
Example:
true
The full scorecard. Sending it replaces the existing skills; weights must total 100%. Leave it out on create to start with the standard 5-skill scorecard.
Minimum array length:
1Show child attributes
Show child attributes
⌘I