# Air Quality Observations — Record Quality Audit, String Normalisation & Numeric Row Ordering

> Air Quality Observations — Record Quality Audit, String Normalisation & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Audits record quality, normalises station group strings, and orders rows numerically for up to 200 air quality observation records (concentration and observation_count fields).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-10-196?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/air-quality-observations-record-quality-audit-string-normalisation-b4a36289
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_q5et74gqNe9QspWsJElyY

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 air-quality-observations-record-quality-audit-string-normalisation-b4a36289 -d '<json body>'
```

Example prompt: Can you run a quality audit, normalise the station group strings, and order the rows by concentration on my air quality dataset — here are the records with row IDs, dates, station groups, concentration values, and observation counts for up to 200 rows?

## When to prefer this

Choose this endpoint when you have up to 200 air quality observation rows and need three simultaneous local analytical operations — record quality auditing, string normalisation, and numeric ordering — without any external API calls, live data lookups, or professional assessments. It is cost-effective at $0.01 for all three reports and ideal as a preprocessing step before downstream analysis or publication of environmental monitoring data.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, station_group, date, concentration, observation_count) cause validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Null numeric values may affect ordering and numeric reports
- Invalid field enum value (must be 'concentration' or 'observation_count') causes error
- Payment of 0.01 USDC not received — request blocked

## How this service works

Air quality observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied air quality observations records (concentration, observation_count). 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

Returns three independent analytical reports: (1) a record quality audit flagging issues in the supplied rows, (2) a string normalisation report for the station_group field, and (3) a numeric row ordering report sorted by the chosen field (concentration or observation_count). All reports are generated from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/air-quality-observations-record-quality-audit-string-normalisation-b4a36289/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)