# Pipeline Durations Analytics: Quality Audit + String Normalisation + Base-100 Series

> Pipeline Durations Analytics: 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 2026-10-18).

Runs three analytical reports on pipeline duration records — record quality audit, string normalisation, and base-100 index series — for up to 200 rows of run_seconds/processed_rows data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-201?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pipeline-durations-analytics-quality-audit-string-normalisation-base-bbde9bfc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_boFYxN06__aXjHglIekN5

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 pipeline-durations-analytics-quality-audit-string-normalisation-base-bbde9bfc -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and base-100 series on my pipeline duration records — here are 4 rows with run_seconds and processed_rows across groups A and B from October 2026, using run_seconds as the field and row 0 as the base index?

## When to prefer this

Choose this endpoint when you need three bundled analytical passes — quality audit, string normalisation, and base-100 indexing — on pipeline duration data in a single cheap call ($0.01 USDC). Ideal for data engineers validating ETL run logs or benchmarking pipeline performance across dataset groups without needing external lookups or predictions. Prefer alternatives if you need live pipeline monitoring, forecasting, or more than 200 rows per call.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — validation error
- base_index out of range for supplied row count — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- run_seconds or processed_rows values exceeding ±1,000,000,000,000 — schema rejection
- Missing required fields row_id or date — schema rejection
- Payment not provided or insufficient (x402 protocol) — 402 response

## How this service works

Pipeline durations — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied pipeline durations records (run_seconds, processed_rows). 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 delivered together: (1) a record quality audit flagging nulls, out-of-range values, and anomalies per row; (2) a string normalisation report cleaning and standardising text fields like dataset_group; (3) a base-100 index series for the chosen numeric field (run_seconds or processed_rows) relative to the specified base row. All computed locally with no external data lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "run_seconds",
     "processed_rows"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "run_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "processed_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "run_seconds": 10,
     "dataset_group": "group-a",
     "processed_rows": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "run_seconds": 20,
     "dataset_group": "group-b",
     "processed_rows": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "run_seconds": 15,
     "dataset_group": "group-a",
     "processed_rows": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "run_seconds": 30,
     "dataset_group": "group-b",
     "processed_rows": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "run_seconds",
    "processed_rows"
   ],
   "type": "string",
   "default": "run_seconds"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pipeline-durations-analytics-quality-audit-string-normalisation-base-bbde9bfc/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)