# Geospatial Tile Processing — Equal-Width Histogram + Explicit Missing-Value Fill

> Geospatial Tile Processing — Equal-Width Histogram + Explicit Missing-Value Fill 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).

Computes an equal-width histogram and fills missing values using a chosen strategy (zero, mean, or median) for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-21-175?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/geospatial-tile-processing-equal-width-histogram-explicit-missing-783d520b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TIRtvd2Oy1ItFGFqdcYhQ

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 geospatial-tile-processing-equal-width-histogram-explicit-missing-783d520b -d '<json body>'
```

Example prompt: I have 150 geospatial tile processing records with tile_count and processing_seconds — can you compute a 10-bin equal-width histogram on tile_count and fill any missing values using median imputation?

## When to prefer this

Choose this endpoint when you need both a distribution summary (histogram) and missing-value imputation on geospatial tile processing metrics (tile_count or processing_seconds) in a single API call. Ideal for preprocessing pipelines where you want to understand data distribution and clean nulls before downstream analysis. Best when data is already collected locally (up to 200 rows) and you need fast, stateless computation without external lookups or predictions.

## Known failure modes

- More than 200 rows submitted — request rejected at schema validation
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Bins value outside 1–30 range returns validation error
- Field value not in enum ['tile_count','processing_seconds'] causes error
- Method value not in enum ['zero','mean','median'] causes error
- All values for chosen field are null — histogram may be empty or degenerate
- Numeric values outside ±1,000,000,000,000 range rejected

## How this service works

Geospatial tile processing — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill for supplied geospatial tile processing records (tile_count, processing_seconds). 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: (1) an equal-width histogram showing bin boundaries and record counts for the chosen field, and (2) a record set with missing values filled using the specified strategy (zero, mean, or median). Both reports are computed locally from 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",
     "tile_count",
     "processing_seconds"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "tile_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "station_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "processing_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "tile_count": 10,
     "station_group": "group-a",
     "processing_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "tile_count": 20,
     "station_group": "group-b",
     "processing_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "tile_count": 15,
     "station_group": "group-a",
     "processing_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "tile_count": 30,
     "station_group": "group-b",
     "processing_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "tile_count",
    "processing_seconds"
   ],
   "type": "string",
   "default": "tile_count"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/geospatial-tile-processing-equal-width-histogram-explicit-missing-783d520b/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)