# Ticket Escalations – Exact Row Deduplication

> Ticket Escalations – Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Identifies and removes exact duplicate rows from ticket escalation datasets (up to 200 records) and returns a deduplication report.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-ticket-escalations-deduplicate?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/ticket-escalations-exact-row-deduplication-c8e5b261
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_is2ypZm8xaOu3ihUZAZ3q

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability ticket-escalations-exact-row-deduplication-c8e5b261 -d '<json body>'
```

Example prompt: Can you deduplicate these ticket escalation records for me? I have rows for teams like 'support-east' and 'support-west' with dates and ticket/escalation counts — some rows may be exact duplicates and I need a clean dataset.

## When to prefer this

Choose this endpoint when you need fast, local exact-row deduplication on structured ticket escalation data (up to 200 rows) without needing enrichment or forecasting. Ideal for pre-processing steps in ETL pipelines, data integrity audits, or cleaning support team escalation logs before analysis. Best suited when duplicates are expected to be byte-for-byte identical across all fields rather than fuzzy or near-duplicates.

## Known failure modes

- Fewer than 1 row supplied returns a validation error
- More than 200 rows supplied exceeds the maxItems limit and will be rejected
- Rows missing required fields (row_id, team, date, tickets, escalations) will fail schema validation
- Invalid date format (not YYYY-MM-DD) will cause a validation error
- row_id values exceeding 80 characters will be rejected
- Payment of 0.01 USDC not included or failed will result in a 402 response

## How this service works

Ticket escalations - Exact row deduplication: Exact row deduplication for Ticket escalations. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded exact row deduplication report.

## Output

A bounded deduplication report identifying which of the supplied ticket escalation rows are exact duplicates, along with the deduplicated set of unique rows. Covers up to 200 input records and provides local descriptive analytics with no enrichment or forecasting.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team",
     "date",
     "tickets",
     "escalations"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "team": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "tickets": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "escalations": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "team": "group-a",
     "row_id": "row-1",
     "tickets": 10,
     "escalations": 1
    },
    {
     "date": "2026-10-02",
     "team": "group-b",
     "row_id": "row-2",
     "tickets": 20,
     "escalations": 2
    },
    {
     "date": "2026-10-03",
     "team": "group-a",
     "row_id": "row-3",
     "tickets": 15,
     "escalations": 3
    },
    {
     "date": "2026-10-04",
     "team": "group-b",
     "row_id": "row-4",
     "tickets": 30,
     "escalations": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ticket-escalations-exact-row-deduplication-c8e5b261/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)