# Record Routing Analytics — Exact Row Deduplication + Trailing Mean Series

> Record Routing Analytics — Exact Row Deduplication + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Deduplicates exact rows and computes trailing mean time series for accepted_records and rejected_records in record routing datasets, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-045?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/record-routing-analytics-exact-row-deduplication-trailing-mean-series-99839a49
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1XNVebLUwzCVPDoKSX1MM

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 record-routing-analytics-exact-row-deduplication-trailing-mean-series-99839a49 -d '<json body>'
```

Example prompt: Can you deduplicate my record routing data and compute a trailing mean series with a window of 3 for the accepted_records field? I have rows for groups A and B from October 2026, up to about 50 rows total.

## When to prefer this

Choose this endpoint when you need both exact row deduplication and trailing mean time series computation on record routing data (accepted/rejected record counts) in a single API call at low cost ($0.01 USDC for two reports). It is ideal for data quality pipelines, ETL auditing, and trend analysis on routing metrics without needing external data sources or live lookups. Prefer this over general-purpose analytics tools when your data fits within 200 rows and you want a lightweight, self-contained, paid micro-analytics service.

## Known failure modes

- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, date, accepted_records, rejected_records) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Window size outside [2, 200] range returns schema validation error
- All rows are duplicates — dedup report returns empty or single-row result
- Insufficient rows for window size — trailing mean series may be sparse or empty

## How this service works

Record routing — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series for supplied record routing records (accepted_records, rejected_records). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two analytical reports: (1) a deduplicated version of the input rows with exact duplicate rows removed, and (2) a trailing mean time series computed over the specified field (accepted_records or rejected_records) using the given window size, for up to 200 input rows. No external lookups or predictions are made — all processing is local.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-analytics-exact-row-deduplication-trailing-mean-series-99839a49/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)