# Record Routing Analytics — Numeric Interval Filter + Daily Sum Series

> Record Routing Analytics — Numeric Interval Filter + 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 2026-10-23).

Filters record routing data (accepted/rejected records) by a numeric interval and computes a daily sum time series, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-125?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/record-routing-analytics-numeric-interval-filter-daily-sum-series-d20c36fe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KYo7-nFImJqj9t9xcz6-g

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 record-routing-analytics-numeric-interval-filter-daily-sum-series-d20c36fe -d '<json body>'
```

Example prompt: Filter my record routing dataset by accepted_records between 5 and 50, then compute a daily sum series — here are the rows: row-1 on 2026-10-01 group-a with 10 accepted and 1 rejected, row-2 on 2026-10-02 group-b with 20 accepted and 2 rejected, row-3 on 2026-10-03 group-a with 15 accepted and 3 rejected.

## When to prefer this

Choose this endpoint when you have up to 200 record routing rows with accepted/rejected record counts and need both a numeric range filter and a daily aggregation in a single call for a flat $0.01 USDC fee. It is ideal for lightweight, self-contained analytics on supplied data without needing a full BI platform or external database. Prefer it over general-purpose analytics APIs when your data is already structured with dataset_group and date fields and you want two ready-made reports (interval filter + daily sum series) simultaneously.

## Known failure modes

- Empty or missing rows array returns a validation error
- Row count exceeding 200 items is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- minimum greater than maximum produces an empty interval filter result
- Null values in the target numeric field may be excluded from sums
- Missing required fields (row_id, date, accepted_records, rejected_records) cause request rejection

## How this service works

Record routing — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series for supplied record routing records (accepted_records, rejected_records). 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 derived from the supplied record routing rows: (1) the subset of rows where the chosen field (accepted_records or rejected_records) falls within the specified [minimum, maximum] interval, and (2) a daily sum time series aggregating that field's values by date — all computed locally with no external data lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "accepted_records",
     "rejected_records"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "accepted_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "rejected_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "accepted_records": 10,
     "rejected_records": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "accepted_records": 20,
     "rejected_records": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "accepted_records": 15,
     "rejected_records": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "accepted_records": 30,
     "rejected_records": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "accepted_records",
    "rejected_records"
   ],
   "type": "string",
   "default": "accepted_records"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-analytics-numeric-interval-filter-daily-sum-series-d20c36fe/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)