# Null Coverage — Daily Sum Series + Base-100 Series Analytics

> Null Coverage — Daily Sum Series + Base-100 Series Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Runs two offline analytical reports on null-coverage data: a daily sum time series and a base-100 rebase series, for up to 200 rows of missing/total value records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-138?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/null-coverage-daily-sum-series-base-100-series-analytics-05ad02e3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lGXRML0g9hu1UXmzu_0ax

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 null-coverage-daily-sum-series-base-100-series-analytics-05ad02e3 -d '<json body>'
```

Example prompt: I have null coverage records for two dataset groups over the past week — can you run a daily sum series and a base-100 rebase report on the missing_values field, using row index 0 as the base, for these 50 rows?

## When to prefer this

Choose this endpoint when you have tabular null-coverage records (missing_values, total_values per date and group) and need both a daily aggregated sum series and a base-100 normalized trend series in a single call at low cost. Ideal for data quality monitoring pipelines, completeness dashboards, and offline analytics on up to 200 rows without requiring live data lookups or external integrations.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, missing_values, total_values) on any row — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- base_index out of range (0–199) relative to input size — computation error
- Null values in numeric fields may affect sum aggregation results
- Payment failure via x402 protocol — endpoint not invoked

## How this service works

Null coverage — Daily sum series + Base-100 series: Daily sum series + Base-100 series for supplied null coverage records (missing_values, total_values). 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 independent analytical reports computed locally: (1) a daily sum time series aggregating the selected field (missing_values or total_values) by date, and (2) a base-100 rebase series normalizing values relative to the specified base index row. Both reports cover up to 200 input rows and are produced without any live lookups or external data sources.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-daily-sum-series-base-100-series-analytics-05ad02e3/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)