# Air Quality Observations — Numeric Row Ordering & Adjacent Row Changes

> Air Quality Observations — Numeric Row Ordering & Adjacent Row Changes 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).

Computes numeric row ordering and adjacent row changes for supplied air quality observation records (concentration or observation_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-10-116?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-numeric-row-ordering-adjacent-row-changes-dab057ea
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZDLJM9kAc7_1M4pOaDqO5

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-numeric-row-ordering-adjacent-row-changes-dab057ea -d '<json body>'
```

Example prompt: I have these air quality readings for our monitoring stations — can you rank them by concentration and also show me the change in concentration between each consecutive row? Here are 4 rows: row-1 on 2026-10-01 at station group-a with concentration 10 and observation_count 1, row-2 on 2026-10-02 at group-b with concentration 20 and observation_count 2, row-3 on 2026-10-03 at group-a with concentration 15 and observation_count 3, row-4 on 2026-10-04 at group-b with concentration 30 and observation_count 4.

## When to prefer this

Choose this endpoint when you have a batch of air quality observation records (up to 200 rows) and need both a numerically ordered view and row-over-row delta computation in a single call. It is ideal for offline/local analytical processing of already-collected data without needing live lookups, predictions, or external data enrichment. Prefer it over generic analytics services when working specifically with concentration and observation_count fields in an environmental monitoring context.

## Known failure modes

- Exceeds 200-row limit — request rejected or truncated
- Missing required fields (row_id, station_group, date, concentration, observation_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value out of allowed numeric range — rejection
- Empty rows array — error response

## How this service works

Air quality observations — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes for supplied air quality observations records (concentration, observation_count). 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

Two analytical reports: (1) numeric row ordering — rows sorted/ranked by the selected field (concentration or observation_count); (2) adjacent row changes — the delta between each consecutive row for the selected field. Results are computed locally on 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-numeric-row-ordering-adjacent-row-changes-dab057ea/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)