# Solar Generation Observations – Explicit Missing-Value Fill

> Solar Generation Observations – 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 2026-10-14).

Fills missing numeric values (generation_kwh or irradiance_w_m2) in solar generation observation records using zero, mean, or median imputation across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-solar-generation-fill-missing?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/solar-generation-observations-explicit-missing-value-fill-6ed45fa9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Dsf29CnauZNTNMd9T08GJ

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 solar-generation-observations-explicit-missing-value-fill-6ed45fa9 -d '<json body>'
```

Example prompt: I have up to 200 solar generation records for arrays like 'group-a' and 'group-b' with some null generation_kwh values — can you fill those missing entries using the median of the available readings and give me the completed dataset?

## When to prefer this

Use this endpoint when you need a lightweight, pay-per-call missing-value imputation for solar generation time-series data (up to 200 rows) without building your own data pipeline. It is ideal for pre-processing solar array datasets before analytics or billing, where you need zero, mean, or median fill on generation_kwh or irradiance_w_m2 fields specifically. Prefer this over general-purpose data tools when working within the solar/renewable energy domain and needing a bounded, cost-predictable ($0.01 per call) operation.

## Known failure modes

- Empty rows array or more than 200 rows returns validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Unrecognized field name outside enum [generation_kwh, irradiance_w_m2] returns error
- Unrecognized method outside enum [zero, mean, median] returns error
- All values for target field are null, making mean/median undefined
- Payment not supplied or insufficient USDC causes 402 rejection
- row_id missing or empty string triggers required-field validation failure

## How this service works

Solar generation observations - Explicit missing-value fill: Explicit missing-value fill for Solar generation observations. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded explicit missing-value fill report.

## Output

A report containing the input observation records with all null values in the specified field (generation_kwh or irradiance_w_m2) replaced by the chosen imputation value (zero, mean, or median of the non-null values), along with descriptive analytics summarizing the fill operation — no forecasting or external enrichment is included.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "solar_array",
     "date",
     "generation_kwh",
     "irradiance_w_m2"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "solar_array": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "generation_kwh": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "irradiance_w_m2": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "solar_array": "group-a",
     "generation_kwh": 10,
     "irradiance_w_m2": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "solar_array": "group-b",
     "generation_kwh": 20,
     "irradiance_w_m2": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "solar_array": "group-a",
     "generation_kwh": 15,
     "irradiance_w_m2": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "solar_array": "group-b",
     "generation_kwh": 30,
     "irradiance_w_m2": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "generation_kwh",
    "irradiance_w_m2"
   ],
   "type": "string",
   "default": "generation_kwh"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/solar-generation-observations-explicit-missing-value-fill-6ed45fa9/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)