# Schema Conformity Daily Sum Series — Missing-Value Fill

> Schema Conformity Daily Sum Series — 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 2026-10-18).

Computes daily sum time series for schema conformity metrics (valid_records, checked_records) with explicit missing-value fill using zero, mean, or median imputation, across up to 200 rows in two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-145?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/schema-conformity-daily-sum-series-missing-value-fill-77409ec4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IsYKFck4drSkUNsE4VE5A

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 schema-conformity-daily-sum-series-missing-value-fill-77409ec4 -d '<json body>'
```

Example prompt: Can you compute the daily sum series for valid_records across these conformity rows and fill any missing values using median imputation? I have up to 50 rows with dates, dataset_group labels, valid_records and checked_records counts.

## When to prefer this

Choose this endpoint when you have pre-collected schema conformity records (valid_records and checked_records) that need daily aggregation and missing-value imputation in a single low-cost call. It is ideal for data quality pipelines, ETL monitoring, and compliance reporting where you supply the data locally and need two analytical reports without any external API calls or live data fetches.

## Known failure modes

- Missing required fields (row_id, date, valid_records, checked_records) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error due to maxItems constraint
- Null values in both numeric fields with no valid data may produce degenerate fill results
- Invalid enum value for field or method parameter causes schema rejection

## How this service works

Schema conformity — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied schema conformity records (valid_records, checked_records). 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

Two independent analytical reports containing daily sum time series for the selected schema conformity field, with missing values explicitly filled using the chosen method (zero, mean, or median), derived entirely from the supplied row data without any external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-daily-sum-series-missing-value-fill-77409ec4/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)