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Ticket Cluster — Support Ticket Theme Clustering
x402
Ticket Cluster — Support Ticket Theme Clustering is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.02/call, status unknown (last checked 2026-11-02).
Groups a batch of support ticket texts into thematic clusters using LLM-based analysis, returning labeled groups with ticket indexes and counts
Price / call$0.02
Success—
StatusUnknown
How this service works
817 pay-per-call APIs for AI agents. Every endpoint is POST /<name> and is payable in USDC over x402 on Base and Solana — no signup, no API key, just pay-per-call. GET https://x402.agentutility.ai/ returns the same catalog as machine-readable JSON.
Output
Returns a JSON object with the model used, source, total ticket count, cluster count, and an array of clusters each containing a label (e.g. 'login issues'), a sample ticket text, the count of tickets in that cluster, and an array of ticket indexes mapping back to the original input array.
Example use cases
Support inbox triage for agent fleet
“I have 120 customer support tickets from this week — can you cluster them into up to 10 themes so I can see which problems are happening most and assign teams accordingly?”
Product feedback pattern discovery
“Here are 80 user feedback submissions from our app — group them by common themes with up to 8 clusters so we can figure out what features people are complaining about most.”
Weekly helpdesk report automation
“Take these 200 helpdesk tickets from the past 7 days and cluster them into topic groups — no more than 15 clusters — so I can generate a summary report of the main issue categories this week.”
Technical details
Endpoint
POSThttps://x402.agentutility.ai/ticket-cluster?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to automatically organize a batch of unstructured support ticket or feedback texts into meaningful thematic groups without any pre-defined taxonomy. It is especially useful for support ops automation, weekly reporting, triage workflows, or any scenario where you receive a volume of text submissions and want to surface recurring themes. Prefer this over manual tagging or simpler keyword-based grouping when tickets are free-form prose. It supports up to 200 tickets per call and up to 30 clusters, making it suitable for medium-scale batch operations.
Side effects
- Exceeding 200 tickets per call returns a validation error
- Individual tickets over 2,000 characters may be truncated or rejected
- Requesting more than 30 max_clusters returns an error
- Ambiguous or very short tickets may be misclustered into catch-all groups
- LLM unavailability on the Morpheus backend returns a 5xx error
- Empty tickets array returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "hermes-3-llama-3.1-405b",
"source": "morpheus",
"clusters": [
{
"count": 2,
"label": "login issues",
"sample": "can't log in to my account",
"ticket_indexes": [
0,
2
]
},
{
"count": 1,
"label": "billing",
"sample": "you charged me twice this month",
"ticket_indexes": [
1
]
}
],
"ticket_count": 3,
"cluster_count": 2
}
}Tags
x402
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