Urgency & SLA Impact Scoring
Calculates numerical urgency scores (0.0 to 1.0) detecting angry sentiment, financial risk, and contractual SLA terms.
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Automate customer support ticket routing, priority scoring, and department assignment in a single API call.
https://test.rsflowhub.com/api/v1/ai/ticket-workflow
AI Support Ticket Workflow API is a ready-to-use REST API on RSFlowHub for developers building web, mobile and AI agent applications. Send a JSON request to POST /api/v1/ai/ticket-workflow with your API key; RSFlowHub runs it on a tuned AI model (with automatic fallback to a backup provider) and returns a structured JSON result, usually within 1 to 3 seconds.
X-API-Key Header
curl -X POST "https://test.rsflowhub.com/api/v1/ai/ticket-workflow" \
-H "Content-Type: application/json" \
-H "X-API-Key: rfh_your_api_key" \
-d '{"ticket":"My payment was deducted but my subscription is still not active.","customer_context":"Billing database shows payment pending verification.","available_departments":["technical_support","billing","sales"]}'
<?php
$client = new \GuzzleHttp\Client();
$response = $client->post('https://test.rsflowhub.com/api/v1/ai/ticket-workflow', [
'headers' => [
'Content-Type' => 'application/json',
'X-API-Key' => 'rfh_your_api_key',
],
'json' => array (
'ticket' => 'My payment was deducted but my subscription is still not active.',
'customer_context' => 'Billing database shows payment pending verification.',
'available_departments' =>
array (
0 => 'technical_support',
1 => 'billing',
2 => 'sales',
),
),
]);
echo $response->getBody();
const response = await fetch('https://test.rsflowhub.com/api/v1/ai/ticket-workflow', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-Key': 'rfh_your_api_key'
},
body: JSON.stringify({"ticket":"My payment was deducted but my subscription is still not active.","customer_context":"Billing database shows payment pending verification.","available_departments":["technical_support","billing","sales"]})
});
const data = await response.json();
console.log(data);
import requests
url = "https://test.rsflowhub.com/api/v1/ai/ticket-workflow"
headers = {
"Content-Type": "application/json",
"X-API-Key": "rfh_your_api_key"
}
payload = {"ticket":"My payment was deducted but my subscription is still not active.","customer_context":"Billing database shows payment pending verification.","available_departments":["technical_support","billing","sales"]}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
Calculates numerical urgency scores (0.0 to 1.0) detecting angry sentiment, financial risk, and contractual SLA terms.
Routes tickets to exact internal queues (Billing, Tier-2 Engineering, Security, Account Success) with zero human dispatchers.
Generates canonical tags (e.g. auth_failure, invoice_discrepancy, data_export) for aggregate analytics.
Recommends concrete resolution steps e.g. "Request transaction ID", "Issue 10% credit", or "Reset 2FA token".
See how developers integrate this API endpoint into production apps.
Instantly categorize incoming Zendesk or Freshdesk tickets and assign them to specialized agents.
Detect high-value enterprise accounts voicing frustration and escalate directly to customer success leads.
Extract invoice numbers and credit card charge issues, routing directly to the finance team.
Comparing RSFlowHub's specialized API gateway vs raw multi-turn LLM prompts vs legacy regex rules.
| Evaluation Metric | RSFlowHub API | Raw LLM Prompts | Legacy Regex / Rules |
|---|---|---|---|
| Response Structure | Validated JSON envelope | Unstructured markdown or chat format | Brittle custom regex tuples |
| Setup Effort | One POST request, no prompts | Write and maintain prompts + output parsing | Fast, but rule lists miss context and sarcasm |
| Pricing Model | Flat 2 credit/request | Volatile token-based billing | High server maintenance overhead |
| Multi-Turn Hallucination | Zero (Deterministic validators) | Output format can drift between model versions | No semantic AI intelligence |
| Developer Integration | 3 lines cURL, PHP, JS, Python | Complex prompt engineering & retry loop | Fragile manual rule maintenance |
ticket_text
string
Full body of the incoming customer support ticket or inquiry.
customer_tier
string
Optional customer tier: free, pro, enterprise, vip (Default: free).
departments
array
Custom list of allowable department routing queues.
Every endpoint returns the same envelope: success, request_id, data.result and meta.
{
"success": true,
"request_id": "req_3f9a2c7e-5b1d-4e8a-9c2f-7d6e1a0b4c8d",
"data": {
"result": {
"decision": "escalate",
"priority": "high",
"route_to": "technical_support",
"requires_human": true,
"reason": "Account lockout with a time-sensitive deadline.",
"can_auto_reply": true,
"required_information": [
"account email"
]
}
},
"meta": {
"version": "v1",
"timestamp": "2026-10-05T09:30:00Z"
}
}
Everything you need to know about integrating and using AI Support Ticket Workflow API.
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