# Coordinate Quality Checks — Record Audit, String Normalisation & Equal-Width Histogram

> Coordinate Quality Checks — Record Audit, String Normalisation & 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 2026-10-25).

Runs three local analytical reports (record quality audit, string normalisation, and equal-width histogram) on up to 200 rows of coordinate quality check data (checked_points, flagged_points).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-23-202?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/coordinate-quality-checks-record-audit-string-normalisation-equal-59356dc6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EXN0amtn1c6DEsWlvpmEK

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 coordinate-quality-checks-record-audit-string-normalisation-equal-59356dc6 -d '<json body>'
```

Example prompt: Run a record quality audit, string normalisation, and equal-width histogram (5 bins) on my coordinate quality check data — here are 4 rows with station groups group-a and group-b, dates 2026-10-01 through 2026-10-04, checked_points values 10, 20, 15, 30, and flagged_points 1, 2, 3, 4 — use checked_points as the histogram field.

## When to prefer this

Choose this endpoint when you need three quick local analytical reports — quality audit, string normalisation, and histogram — on a small-to-medium batch (up to 200 rows) of coordinate quality check records without any external data lookups, predictions, or live services. It is cost-effective at $0.01 USDC for all three reports simultaneously. Prefer it over general-purpose analytics when your data specifically involves checked_points and flagged_points fields from coordinate or geospatial QA workflows.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, checked_points, flagged_points) cause row-level audit failures
- Invalid date format (not YYYY-MM-DD) triggers schema validation error
- bins value outside 1–30 range causes parameter rejection
- Null values in both numeric fields may reduce histogram utility
- Malformed JSON body returns HTTP 400

## How this service works

Coordinate quality checks — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied coordinate quality checks records (checked_points, flagged_points). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values per row; (2) a string normalisation report on text fields like station_group; and (3) an equal-width histogram of the selected numeric field (checked_points or flagged_points) across up to 30 configurable bins. All analysis is performed locally on 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",
     "station_group",
     "date",
     "checked_points",
     "flagged_points"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "station_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "checked_points": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "flagged_points": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "station_group": "group-a",
     "checked_points": 10,
     "flagged_points": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "station_group": "group-b",
     "checked_points": 20,
     "flagged_points": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "station_group": "group-a",
     "checked_points": 15,
     "flagged_points": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "station_group": "group-b",
     "checked_points": 30,
     "flagged_points": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "checked_points",
    "flagged_points"
   ],
   "type": "string",
   "default": "checked_points"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/coordinate-quality-checks-record-audit-string-normalisation-equal-59356dc6/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)