# Metadata Completeness Daily Sum Series with Missing-Value Fill

> Metadata Completeness Daily Sum Series with Missing-Value Fill 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).

Computes a daily sum time series for metadata completeness fields (present_fields, expected_fields) and fills in missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-05-145?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-daily-sum-series-with-missing-value-fill-9a355e31
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1djkN7UslAARgwhgqhCo9

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-daily-sum-series-with-missing-value-fill-9a355e31 -d '<json body>'
```

Example prompt: I have up to 200 rows of daily metadata completeness records with present_fields and expected_fields columns across site groups — can you compute a daily sum series for present_fields and fill any missing values using median imputation?

## When to prefer this

Choose this endpoint when you need to compute a daily aggregate sum time series and simultaneously handle missing-value imputation for metadata completeness records (present_fields / expected_fields), in a single $0.01 call covering two reports. Prefer it over general analytics tools when your data is already structured with row_id, site_group, and date, and you need lightweight, local computation without external data lookups or prediction.

## Known failure modes

- More than 200 rows submitted — API rejects input exceeding the maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, date, present_fields, expected_fields) result in request rejection
- present_fields or expected_fields values outside ±1,000,000,000,000 fail numeric range validation
- Empty rows array (minItems: 1 not met) causes rejection
- Invalid field enum value (not 'present_fields' or 'expected_fields') causes rejection
- Invalid method enum (not 'zero', 'mean', or 'median') causes rejection

## How this service works

Metadata completeness — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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 daily sum time series aggregating the selected field (present_fields or expected_fields) by date, and (2) the same dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports cover up to 200 input rows and are computed locally without 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/metadata-completeness-daily-sum-series-with-missing-value-fill-9a355e31/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)