# Metadata Completeness Analyzer — Base-100 Series + Equal-Width Histogram

> Metadata Completeness Analyzer — Base-100 Series + 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 2026-10-26).

Generates two analytical reports (a Base-100 indexed time series and an equal-width histogram) for metadata completeness records tracking present vs. expected fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-05-163?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/metadata-completeness-analyzer-base-100-series-equal-width-histogram-d7561273
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_10_h9_pIlhKQ4HSsstvSh

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-analyzer-base-100-series-equal-width-histogram-d7561273 -d '<json body>'
```

Example prompt: Analyze the metadata completeness for these 4 records — row-1 on 2026-10-01 (10 present, 1 expected), row-2 on 2026-10-02 (20 present, 2 expected), row-3 on 2026-10-03 (15 present, 3 expected), row-4 on 2026-10-04 (30 present, 4 expected) — and give me a Base-100 series indexed from row 0 plus an equal-width histogram with 5 bins, analyzing the present_fields column.

## When to prefer this

Choose this endpoint when you need lightweight, local analytical computation on metadata completeness data — specifically when you want both a Base-100 indexed time series and an equal-width histogram in a single call for up to 200 rows. It requires no external data lookup and is ideal for data quality auditing workflows where you already have present_fields and expected_fields counts per record.

## Known failure modes

- More than 200 rows submitted — endpoint rejects input exceeding maxItems limit
- Missing required row fields (row_id, date, present_fields, expected_fields) — validation error returned
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — rejected by schema
- base_index out of range (0–199) — schema validation error
- Null values in present_fields or expected_fields may affect computation output

## How this service works

Metadata completeness — Base-100 series + Equal-width histogram: Base-100 series + Equal-width histogram 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 showing how the selected field (present_fields or expected_fields) evolves relative to the base index row, and (2) an equal-width histogram bucketing the values across the specified number of bins. Both reports are computed locally from the supplied data 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",
     "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-analyzer-base-100-series-equal-width-histogram-d7561273/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)