# Error Budgets – Exact Row Deduplication + Numeric Interval Filter

> Error Budgets – Exact Row Deduplication + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Deduplicates error budget rows and filters records by a numeric interval (min/max) on failed_requests or total_requests, returning up to 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-04-043?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/error-budgets-exact-row-deduplication-numeric-interval-filter-a90fd914
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mdozY4MHJs3XwLvjC3jO0

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 error-budgets-exact-row-deduplication-numeric-interval-filter-a90fd914 -d '<json body>'
```

Example prompt: I have a dataset of error budget records with columns row_id, component, date, failed_requests, and total_requests — up to 150 rows. Can you deduplicate the rows exactly and then filter to only keep records where failed_requests is between 5 and 500, giving me 2 analytical reports?

## When to prefer this

Choose this endpoint when you need to clean error budget or SLO-related tabular data by removing exact duplicate rows AND simultaneously filter records to a numeric range on failed_requests or total_requests, and you want two independent analytical reports from a single cheap API call. It is ideal for pre-processing reliability data before dashboarding or further analysis, without needing a live database or external lookup service.

## Known failure modes

- Input array is empty or exceeds 200 rows — validation error returned
- Rows missing required fields (row_id, component, date, failed_requests, total_requests) — schema validation failure
- Date field does not match YYYY-MM-DD pattern — rejected with format error
- minimum greater than maximum — may return empty filtered result set
- Non-numeric values in failed_requests or total_requests — schema rejection
- Payment not completed via x402 protocol — request not processed

## How this service works

Error budgets — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter for supplied error budgets records (failed_requests, total_requests). 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 up to 2 analytical reports: one showing the results of exact row deduplication on the supplied error budget records, and one showing rows filtered to those where the selected numeric field (failed_requests or total_requests) falls within the specified minimum–maximum interval. No external data is fetched; all analysis is performed on the submitted rows only.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "component",
     "date",
     "failed_requests",
     "total_requests"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "component": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "total_requests": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "failed_requests": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "component": "group-a",
     "total_requests": 1,
     "failed_requests": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "component": "group-b",
     "total_requests": 2,
     "failed_requests": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "component": "group-a",
     "total_requests": 3,
     "failed_requests": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "component": "group-b",
     "total_requests": 4,
     "failed_requests": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "failed_requests",
    "total_requests"
   ],
   "type": "string",
   "default": "failed_requests"
  },
  "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/error-budgets-exact-row-deduplication-numeric-interval-filter-a90fd914/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)