# Join Coverage Analytics: Numeric Interval Filter + Base-100 Series

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

Applies a numeric interval filter and computes a base-100 index series on join coverage records (matched_rows, source_rows) for up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-128?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-numeric-interval-filter-base-100-series-b082d184
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lrCI3HdkBJB3OTvAB3Dw8

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-numeric-interval-filter-base-100-series-b082d184 -d '<json body>'
```

Example prompt: I have join coverage data for two dataset groups — can you filter matched_rows to only show values between 10 and 50, then build a base-100 index series starting from row index 0? Here are my rows: group-a on 2026-10-01 had source_rows=100, matched_rows=20; group-b on 2026-10-02 had source_rows=200, matched_rows=45.

## When to prefer this

Choose this endpoint when you have preloaded join coverage records (matched_rows and source_rows) and need two specific analytical views — a numeric interval filter and a base-100 index series — without any external data lookup or prediction. It is ideal for data pipeline quality reviews, ETL join audits, and coverage trend analysis on datasets up to 200 rows. Not suitable for live database queries, ML predictions, or analysis of fields beyond matched_rows and source_rows.

## Known failure modes

- Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) cause validation errors
- Providing more than 200 rows exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- base_index out of range (0–199) returns an error
- minimum greater than maximum produces an empty interval filter result
- null values in the selected numeric field may be excluded from index computation

## How this service works

Join coverage — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 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 independent analytical reports: (1) records from the supplied join coverage data where the selected field (matched_rows or source_rows) falls within the specified numeric interval [minimum, maximum], and (2) a base-100 index series for the selected field anchored at the specified base_index row, enabling trend comparison across up to 200 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "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-numeric-interval-filter-base-100-series-b082d184/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)