# Record Routing Trailing Mean Series + Explicit Missing-Value Fill Analytics

> Record Routing Trailing Mean Series + Explicit Missing-Value Fill Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Computes trailing mean time-series analysis and fills missing values for accepted_records and rejected_records routing data, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-154?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/record-routing-trailing-mean-series-explicit-missing-value-fill-00ccbc13
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2SCSmmDgzll3RhREGGKnx

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-trailing-mean-series-explicit-missing-value-fill-00ccbc13 -d '<json body>'
```

Example prompt: Compute trailing mean series and fill any missing values for my record routing data — here are 5 rows with dates, accepted_records and rejected_records fields, use a window of 3 and fill gaps using the median method, and run the analysis on accepted_records.

## When to prefer this

Choose this endpoint when you need lightweight, local statistical computation — specifically trailing moving averages and missing-value imputation — on record routing data (accepted/rejected counts) without any external data lookups, predictions, or live integrations. Ideal for data quality monitoring pipelines, ETL diagnostics, and time-series smoothing tasks on small-to-medium datasets up to 200 rows. At $0.01 USDC for two reports, it is cost-effective for routine analytical batch jobs on routing metrics.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted returns a validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Window size outside 2–200 range is rejected
- Unknown fill method or field enum value causes validation failure
- Null row_id or missing required fields triggers schema error

## How this service works

Record routing — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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

Returns two analytical reports: (1) a trailing mean series for the specified field (accepted_records or rejected_records) over the given window, and (2) an explicit missing-value-filled version of the same series using the chosen method (zero, mean, or median). Results cover all submitted rows (up to 200) with their row_id and date context preserved.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-trailing-mean-series-explicit-missing-value-fill-00ccbc13/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)