# Join Coverage Analytics — Base-100 Series & Two-Measure Correlation

> Join Coverage Analytics — Base-100 Series & Two-Measure Correlation 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 a base-100 indexed time series and a two-measure correlation report for supplied join coverage data (matched_rows vs source_rows) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-165?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-base-100-series-two-measure-correlation-5b96dfe3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-MZZZ-huDAkeB7wVAQpvY

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-base-100-series-two-measure-correlation-5b96dfe3 -d '<json body>'
```

Example prompt: I have 4 rows of join coverage data — for group-a on 2026-10-01 source_rows=1 matched_rows=10, group-b on 2026-10-02 source_rows=2 matched_rows=20, group-a on 2026-10-03 source_rows=3 matched_rows=15, group-b on 2026-10-04 source_rows=4 matched_rows=30 — can you index matched_rows to base-100 starting from row 0 and also compute the correlation between matched_rows and source_rows across all rows?

## When to prefer this

Choose this endpoint when you have up to 200 rows of join coverage data (matched_rows and source_rows per date and dataset group) and need both a base-100 normalized trend series and a correlation analysis between the two measures in a single $0.01 call. It is ideal for data engineers or analysts auditing ETL pipeline join quality over time without requiring live lookups or external data sources.

## Known failure modes

- More than 200 rows submitted — endpoint accepts a maximum of 200 rows
- Missing required fields (row_id, date, matched_rows, source_rows, dataset_group) on any row — validation error
- date field not matching YYYY-MM-DD pattern — schema validation failure
- base_index out of range (must be 0–199 and within actual row count) — index error
- All matched_rows or source_rows values are null — insufficient data for correlation
- Malformed JSON payload — request rejected before processing

## How this service works

Join coverage — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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 base-100 indexed time series for the selected field (matched_rows or source_rows), anchored at the specified base_index row, showing relative change across all supplied rows; and (2) a two-measure correlation report quantifying the statistical relationship between matched_rows and source_rows across the dataset. Both reports are computed locally on the supplied data with no external lookups.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/join-coverage-analytics-base-100-series-two-measure-correlation-5b96dfe3/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)