# Record Routing Analytics — Grouped Numeric Summary + Explicit Missing-Value Fill

> Record Routing Analytics — Grouped Numeric Summary + Explicit Missing-Value Fill 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).

Computes grouped numeric summaries and fills missing values in record routing data (accepted_records, rejected_records) across up to 200 rows, producing two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-099?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-grouped-numeric-summary-explicit-missing-03ec759f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IOr0I_QgNpjp5tDJA2tlx

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-grouped-numeric-summary-explicit-missing-03ec759f -d '<json body>'
```

Example prompt: I have a record routing dataset with accepted_records and rejected_records across groups like 'group-a' and 'group-b' for dates in October 2026 — can you give me a grouped numeric summary of accepted_records and also fill any missing accepted_records values using the median method?

## When to prefer this

Choose this endpoint when you have up to 200 rows of record routing data with accepted/rejected record counts and need both a grouped statistical summary and explicit null imputation in a single API call for a flat fee of $0.01 USDC. Ideal for lightweight ETL auditing, data quality checks, or pre-reporting cleanup without needing a full analytics platform.

## Known failure modes

- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, accepted_records, rejected_records) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Invalid fill method enum value — rejected
- All values null with mean/median fill method — undefined imputation result
- Payment of 0.01 USDC not completed — 402 response

## How this service works

Record routing — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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 grouped numeric summary showing statistics (e.g. count, sum, mean, min, max) for the chosen field broken down by dataset_group, and (2) the same dataset with missing values in the specified field explicitly filled using the chosen method (zero, mean, or median). No external data is fetched; all analysis is local to the supplied rows.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-analytics-grouped-numeric-summary-explicit-missing-03ec759f/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)