# Join Coverage Analytics: String Normalisation + Daily Sum Series

> Join Coverage Analytics: String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Computes string normalisation and daily sum time series for join coverage metrics (matched_rows and source_rows) across up to 200 supplied rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-027?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/join-coverage-analytics-string-normalisation-daily-sum-series-3faba73f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UyuI7ZZ_LnKLMDg2PMoS6

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 join-coverage-analytics-string-normalisation-daily-sum-series-3faba73f -d '<json body>'
```

Example prompt: Analyze my join coverage data for group-a and group-b across October 2026 — I have 4 rows with dates, matched_rows, and source_rows values — and give me both the string normalisation report and daily sum series for matched_rows.

## When to prefer this

Choose this endpoint when you have tabular join coverage data (matched_rows vs source_rows) keyed by date and dataset group, and need both a string normalisation pass and a daily sum time series in one call for up to 200 rows. It is ideal for data engineers auditing ETL pipelines or reconciling datasets without needing live lookups or external data.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Date values not in YYYY-MM-DD format — validation error
- matched_rows or source_rows values outside ±1,000,000,000,000 — schema rejection
- Missing required fields (row_id, dataset_group, date) — input validation failure
- Invalid field enum value (not 'matched_rows' or 'source_rows') — rejected

## How this service works

Join coverage — String normalisation + Daily sum series: String normalisation + Daily sum series for supplied join coverage records (matched_rows, source_rows). 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 string normalisation report covering the selected join coverage field values across dataset groups, and (2) a daily sum series aggregating the chosen field (matched_rows or source_rows) by date. No external lookups or live data are used — analysis is performed entirely on the supplied rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/join-coverage-analytics-string-normalisation-daily-sum-series-3faba73f/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)