# Join Coverage Analytics: Base-100 Series + Equal-Width Histogram

> Join Coverage Analytics: Base-100 Series + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Generates a Base-100 indexed time series and an equal-width histogram for join coverage data (matched_rows vs source_rows) across up to 200 rows in two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-163?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/join-coverage-analytics-base-100-series-equal-width-histogram-625a9233
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6w-rPKqiWKcYAr9iVB4bG

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-equal-width-histogram-625a9233 -d '<json body>'
```

Example prompt: Can you run a base-100 series and equal-width histogram on my join coverage data — I have matched_rows and source_rows for each day from 2024-01-01 to 2024-01-10 across two dataset groups, use matched_rows as the field, set the base index to row 0, and use 10 bins?

## When to prefer this

Choose this endpoint when you need both a normalized trend view (Base-100 series) and a frequency distribution (histogram) of join coverage metrics in a single call, without needing external data, predictions, or live lookups. Ideal for data engineers auditing ETL pipeline match rates, data quality analysts reviewing join completeness over time, or anyone wanting fast statistical summaries of matched vs source row counts across up to 200 records for $0.01 USDC.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes validation failure
- base_index out of range for the number of supplied rows
- bins value outside 1–30 range rejected by schema
- Null values in matched_rows or source_rows may affect histogram accuracy
- Missing required fields (row_id, date, dataset_group) cause row-level errors

## How this service works

Join coverage — Base-100 series + Equal-width histogram: Base-100 series + Equal-width histogram 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 normalizing the selected field (matched_rows or source_rows) relative to a chosen baseline row, and (2) an equal-width histogram showing the frequency distribution of values across a configurable number of bins (1–30). Both reports are computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-histogram-625a9233/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)