# Validation Rule Results Analytics — Base-100 Series + Missing-Value Fill

> Validation Rule Results Analytics — Base-100 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 2026-10-14).

Computes a Base-100 indexed time series and fills missing values (zero/mean/median) for up to 200 rows of validation rule result data (passed_rules, total_rules), delivering two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-169?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/validation-rule-results-analytics-base-100-series-missing-value-fill-98ccaf86
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_q-GeI5zrzcfsK5YeMyqaQ

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 validation-rule-results-analytics-base-100-series-missing-value-fill-98ccaf86 -d '<json body>'
```

Example prompt: I have validation rule results for two dataset groups over October 2026 — can you normalize the passed_rules field to a base-100 index starting at row index 0 and fill any missing values using median, across these 4 rows: row-1 group-a 2026-10-01 passed=10 total=1, row-2 group-b 2026-10-02 passed=20 total=2, row-3 group-a 2026-10-03 passed=15 total=3, row-4 group-b 2026-10-04 passed=30 total=4?

## When to prefer this

Choose this endpoint when you have up to 200 rows of validation rule result records (passed_rules, total_rules) and need two specific analytical transforms: a Base-100 normalized index series anchored to a chosen row, and explicit missing-value imputation (zero, mean, or median). It runs entirely on supplied data with no external lookups, making it deterministic and suitable for offline or privacy-sensitive data quality analytics. Prefer this over general-purpose analytics tools when you specifically need indexed trend normalization combined with gap-filling for data quality metrics.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- base_index out of range (>= number of rows) — error returned
- Field or method enum value not recognized — schema validation failure
- All values null for a group — fill may produce degenerate output
- Missing required fields (row_id, dataset_group, date) — schema rejection

## How this service works

Validation rule results — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill for supplied validation rule results records (passed_rules, total_rules). 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 for the selected field (passed_rules or total_rules), anchored to the specified base_index row, and (2) an explicit missing-value filled series using the chosen method (zero, mean, or median). Reports cover all supplied rows grouped by dataset_group and date.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validation-rule-results-analytics-base-100-series-missing-value-fill-98ccaf86/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)