# Pipeline Durations Analytics: Quality Audit, Deduplication, and Base-100 Series

> Pipeline Durations Analytics: Quality Audit, Deduplication, and 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 2026-10-16).

Runs three independent analytical reports on pipeline duration records: record quality audit, exact row deduplication, and base-100 indexed series — all locally, without external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-218?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pipeline-durations-analytics-quality-audit-deduplication-and-base-100-739957ec
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fZ4VCoyI6SbdQx6BGPaka

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-deduplication-and-base-100-739957ec -d '<json body>'
```

Example prompt: Can you run a quality audit, exact deduplication check, and base-100 series on my pipeline duration records? I have rows with run_seconds and processed_rows fields — use run_seconds as the field and base the index at position 0.

## When to prefer this

Choose this endpoint when you need to simultaneously validate data quality, remove duplicates, and produce a normalized index series from pipeline duration records in a single low-cost call. Ideal for ETL monitoring, pipeline observability, and data hygiene workflows where you have up to 200 rows of run_seconds or processed_rows data and want three complementary analytical views without any external data lookups or live predictions.

## Known failure modes

- Empty or missing rows array returns a validation error
- More than 200 rows submitted exceeds the row limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- base_index value out of bounds for supplied row count causes indexing error
- Non-numeric values in run_seconds or processed_rows may be flagged or rejected
- Missing required fields (row_id, dataset_group, date) cause schema validation errors

## How this service works

Pipeline durations — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + 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

Returns three independent reports: (1) a record quality audit flagging missing, invalid, or out-of-range values in the supplied rows; (2) an exact row deduplication report identifying and removing duplicate records; and (3) a base-100 indexed series for the selected numeric field (run_seconds or processed_rows), normalized relative to a specified base row index. All processing is done locally on the supplied data with no external 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-deduplication-and-base-100-739957ec/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)