# Transformation Throughput Analytics: Record Quality Audit + String Normalisation + Base-100 Series

> Transformation Throughput Analytics: Record Quality Audit + String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Runs three analytical reports on transformation throughput records — record quality audit, string normalisation, and base-100 index series — using supplied processed_rows and duration_seconds data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-201?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transformation-throughput-analytics-record-quality-audit-string-563ea4be
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ah-Kw-FPDtluc1q-YkhzB

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 transformation-throughput-analytics-record-quality-audit-string-563ea4be -d '<json body>'
```

Example prompt: Can you run the three-in-one throughput analytics on my pipeline data — quality audit, string normalisation, and base-100 index series for processed_rows starting from row index 0? Here are the records: row-1 for group-a on 2026-10-01 with 10 processed rows taking 1 second, row-2 for group-b on 2026-10-02 with 20 rows in 2 seconds, row-3 for group-a on 2026-10-03 with 15 rows in 3 seconds.

## When to prefer this

Choose this endpoint when you need three complementary analytical perspectives — quality audit, string normalisation, and base-100 indexing — on transformation throughput data (processed_rows, duration_seconds) in a single $0.01 call with up to 200 rows. It is ideal when you want offline, self-contained analysis with no external lookups or predictions. Prefer alternatives if you need live data enrichment, forecasting, or more than 200 rows processed at once.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — rejected by schema validation
- Invalid date format (not YYYY-MM-DD) causes row rejection
- base_index out of range (≥ number of submitted rows) causes index series error
- Non-numeric or null values in processed_rows or duration_seconds may limit computation
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause row-level errors
- Payment failure or insufficient USDC balance blocks the request

## How this service works

Transformation throughput — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied transformation throughput records (processed_rows, duration_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in the supplied rows; (2) a string normalisation report standardising dataset_group and other string fields; and (3) a base-100 index series for the selected numeric field (processed_rows or duration_seconds) relative to the specified base row index. No external data is fetched; all analysis is performed locally on the supplied data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "processed_rows",
     "duration_seconds"
    ],
    "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
     },
     "processed_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "duration_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "processed_rows": 10,
     "duration_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "processed_rows": 20,
     "duration_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "processed_rows": 15,
     "duration_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "processed_rows": 30,
     "duration_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "processed_rows",
    "duration_seconds"
   ],
   "type": "string",
   "default": "processed_rows"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-record-quality-audit-string-563ea4be/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)