# Metadata Completeness — Base-100 Series + Secondary-Measure Weighted Mean

> Metadata Completeness — Base-100 Series + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Computes a base-100 indexed time series and a secondary-measure weighted mean for metadata completeness records (present_fields vs expected_fields) across up to 200 rows, producing two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-05-166?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/metadata-completeness-base-100-series-secondary-measure-weighted-mean-e316af4b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_62lAVRcsqJgklNfGOkIo4

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 metadata-completeness-base-100-series-secondary-measure-weighted-mean-e316af4b -d '<json body>'
```

Example prompt: I have 4 rows of metadata completeness data — can you compute a base-100 indexed series anchored to row index 0 and a weighted mean for the present_fields column? The rows are: row-1 for group-a on 2026-10-01 with 10 present and 1 expected, row-2 for group-b on 2026-10-02 with 20 present and 2 expected, row-3 for group-a on 2026-10-03 with 15 present and 3 expected, row-4 for group-b on 2026-10-04 with 30 present and 4 expected.

## When to prefer this

Choose this endpoint when you need to both index a metadata completeness time series to a base-100 scale AND compute a weighted mean in a single call for up to 200 rows. It is ideal for data quality monitoring, schema coverage audits, and ETL pipeline analytics where you need two complementary statistical views (trend indexing + central tendency) from the same dataset without external dependencies or live data lookups.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, present_fields, expected_fields) — validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- base_index out of range (exceeds row count minus 1) — index error
- null values in present_fields or expected_fields may affect weighted mean calculation
- Division by zero risk if expected_fields is 0 for completeness ratio computation

## How this service works

Metadata completeness — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean for supplied metadata completeness records (present_fields, expected_fields). 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: (1) a base-100 indexed time series normalizing the selected field (present_fields or expected_fields) relative to the value at the specified base_index row, and (2) a secondary-measure weighted mean computed across all supplied rows. Both reports are generated locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/metadata-completeness-base-100-series-secondary-measure-weighted-mean-e316af4b/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)