# Record Routing Analytics: String Normalisation + Daily Sum Series

> Record Routing Analytics: String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Computes string normalisation and daily sum series reports for accepted_records and rejected_records fields across up to 200 record routing rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-027?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/record-routing-analytics-string-normalisation-daily-sum-series-990fd616
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-x_3TBSJKfruevwBNbBf_

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-string-normalisation-daily-sum-series-990fd616 -d '<json body>'
```

Example prompt: Run string normalisation and daily sum series reports on my record routing data — I have rows with date, row_id, dataset_group, accepted_records, and rejected_records fields, up to 50 rows, and I want to analyze the accepted_records field.

## When to prefer this

Choose this endpoint when you need two lightweight, supply-side analytics reports — string normalisation and daily sum aggregation — on record routing data (accepted/rejected record counts) without any live lookup, prediction, or external data enrichment. Ideal for ETL audit workflows, data quality checks, and daily throughput summarisation on batches up to 200 rows at low cost ($0.01 USDC for both reports).

## Known failure modes

- Input rows exceed 200 items — request will be rejected or truncated
- Missing required fields (row_id, date, accepted_records, rejected_records) causes validation errors
- Invalid date format (must match YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array not accepted (minItems: 1)
- Invalid field enum value (must be 'accepted_records' or 'rejected_records')

## How this service works

Record routing — String normalisation + Daily sum series: String normalisation + Daily sum 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

Returns two analytical reports for the supplied dataset: (1) a string normalisation report standardizing text representations of the specified field across rows, and (2) a daily sum series aggregating the chosen field (accepted_records or rejected_records) by date — all computed locally with no external lookups, covering up to 200 input 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-analytics-string-normalisation-daily-sum-series-990fd616/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)