# Asset Coverage Daily Sum Series with Missing-Value Fill

> Asset Coverage 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 2026-10-23).

Computes daily sum time series for asset coverage data (known_assets, monitored_assets) and fills missing values using zero, mean, or median imputation — two bundled analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-10-145?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/asset-coverage-daily-sum-series-with-missing-value-fill-6dc58264
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2PU9tZ2i80SKauVHPE0t_

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 asset-coverage-daily-sum-series-with-missing-value-fill-6dc58264 -d '<json body>'
```

Example prompt: I have up to 200 rows of asset coverage records with dates, known_assets, and monitored_assets values — can you compute the daily sum series for known_assets and fill any missing values using median imputation, then give me both the aggregated series and the filled data?

## When to prefer this

Choose this endpoint when you have up to 200 rows of time-stamped asset coverage records and need both a daily sum time series and explicit missing-value imputation in a single bundled call. It is ideal for offline or batch analytical scenarios where no live data lookup, prediction, or external enrichment is needed. At $0.01 USDC for two reports, it is cost-effective for lightweight asset coverage analytics on supplied data.

## Known failure modes

- Input array has zero rows (minItems: 1 violation) — returns validation error
- Rows exceed 200 items (maxItems violation) — returns validation error
- Date fields do not match YYYY-MM-DD pattern — returns schema validation error
- Numeric values out of allowed range (±1,000,000,000,000) — returns validation error
- Missing required fields (row_id, control_group, date) in any row — returns validation error
- Invalid enum value for field or method parameters — returns validation error

## How this service works

Asset coverage — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied asset coverage records (known_assets, monitored_assets). 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 bundled analytical reports: (1) a daily sum series aggregating the selected field (known_assets or monitored_assets) by date across all supplied rows, and (2) a version of the dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are computed 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",
     "control_group",
     "date",
     "known_assets",
     "monitored_assets"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "known_assets": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "control_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "monitored_assets": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "known_assets": 10,
     "control_group": "group-a",
     "monitored_assets": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "known_assets": 20,
     "control_group": "group-b",
     "monitored_assets": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "known_assets": 15,
     "control_group": "group-a",
     "monitored_assets": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "known_assets": 30,
     "control_group": "group-b",
     "monitored_assets": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "known_assets",
    "monitored_assets"
   ],
   "type": "string",
   "default": "known_assets"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/asset-coverage-daily-sum-series-with-missing-value-fill-6dc58264/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)