# Pipeline Durations — Record Quality Audit + String Normalisation + Equal-Width Histogram

> Pipeline Durations — Record Quality Audit + String Normalisation + Equal-Width Histogram 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 combined analytical reports (data quality audit, string normalisation, and equal-width histogram) on pipeline duration records containing run_seconds and processed_rows fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-202?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-record-quality-audit-string-normalisation-equal-7926f609
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_25NCYA9soQX0T9a6uoMHM

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-record-quality-audit-string-normalisation-equal-7926f609 -d '<json body>'
```

Example prompt: Can you run the three-in-one pipeline duration analytics — quality audit, string normalisation, and a 10-bin histogram on the run_seconds field — for these 50 pipeline records I have from last week's ETL jobs?

## When to prefer this

Choose this endpoint when you need three standard analytical operations (quality audit, string normalisation, histogram) bundled together at low cost on up to 200 pipeline duration records. It is best suited for offline or batch analytical use cases where you supply your own data and want quick, local computation without any live data lookup, prediction, or external action. It is not appropriate for real-time monitoring, ML-based anomaly detection, or datasets exceeding 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) — row fails schema validation
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — row rejected
- bins value outside 1–30 range — request rejected
- Invalid field enum value (not run_seconds or processed_rows) — request rejected
- All numeric values are null — histogram may return empty or degenerate result

## How this service works

Pipeline durations — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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

Returns three independent analytical reports: (1) a record quality audit identifying issues like nulls, out-of-range values, and malformed entries; (2) a string normalisation report for text fields like dataset_group; and (3) an equal-width histogram report for the chosen numeric field (run_seconds or processed_rows) broken into the requested number of bins. All computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pipeline-durations-record-quality-audit-string-normalisation-equal-7926f609/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)