# Elevation Samples — Numeric Interval Filter + Daily Sum Series

> Elevation Samples — 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 2026-10-25).

Runs two offline analytical reports on supplied elevation sample records: a numeric interval filter (isolating rows within a value range) and a daily sum series aggregation, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-13-125?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/elevation-samples-numeric-interval-filter-daily-sum-series-86081466
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sRChaKtAD50o-nbbC_Aje

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 elevation-samples-numeric-interval-filter-daily-sum-series-86081466 -d '<json body>'
```

Example prompt: I have 50 elevation sample records with dates, station groups, elevation_m and sample_weight — can you run the interval filter report keeping only rows where elevation_m is between 0 and 100, and also produce the daily sum series for elevation_m across all dates?

## When to prefer this

Choose this endpoint when you have up to 200 elevation sample records already in hand (no live lookup needed) and need two specific offline analytics in one call: a numeric range filter and a daily sum time series. Prefer this over general-purpose analytics tools when you want a simple, low-cost ($0.01) deterministic computation on structured elevation/weight data without any external data enrichment or prediction.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required row fields (row_id, date, elevation_m, sample_weight, station_group) cause validation errors
- Invalid date format (must match YYYY-MM-DD) causes schema rejection
- Minimum greater than maximum may return empty interval filter results
- Null numeric values in elevation_m or sample_weight may be excluded from aggregations
- Field enum value not 'elevation_m' or 'sample_weight' causes validation failure

## How this service works

Elevation samples — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series for supplied elevation samples records (elevation_m, sample_weight). 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 computed locally on the submitted data: (1) a filtered subset of the input rows where the chosen numeric field (elevation_m or sample_weight) falls within the specified minimum–maximum interval, and (2) a daily sum series aggregating the chosen field totals by date across all submitted rows. Up to 200 input rows supported per call.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "elevation_m",
     "sample_weight"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "elevation_m": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "sample_weight": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "station_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "elevation_m": 10,
     "sample_weight": 1,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "elevation_m": 20,
     "sample_weight": 2,
     "station_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "elevation_m": 15,
     "sample_weight": 3,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "elevation_m": 30,
     "sample_weight": 4,
     "station_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "elevation_m",
    "sample_weight"
   ],
   "type": "string",
   "default": "elevation_m"
  },
  "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/elevation-samples-numeric-interval-filter-daily-sum-series-86081466/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)