# Sky Observations - Required Field Coverage Check

> Sky Observations - Required Field Coverage Check is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010151/call, status unknown (last checked 2026-10-25).

Validates that specified required fields are present (non-null) across a batch of sky observation records within a defined data class frame.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/celestial/sky-observations/required-field-coverage?utm_source=zero.xyz
- Price: $0.010151/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sky-observations-required-field-coverage-check-0fe9d6a1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mDQqVo9dpWAX4QxYri9C4

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 sky-observations-required-field-coverage-check-0fe9d6a1 -d '<json body>'
```

Example prompt: Check these 10 sky observation records from our public dataset and tell me which ones are missing any of the required fields: 'epoch', 'observer', 'method', and 'revision' — flag any row where those fields are null.

## When to prefer this

Use this endpoint when you need to programmatically verify that a batch of sky observation records contains all caller-specified required fields before downstream processing, and when records are strictly non-personal (nonpersonalMetadata must be true). Prefer this over manual inspection or generic schema validators when working specifically with sky/celestial observation data in public or synthetic data classes up to 32 rows at a time.

## Known failure modes

- rows array is empty or exceeds 32 items — returns validation error
- requiredFields array is empty or exceeds 8 items — returns validation error
- nonpersonalMetadata is not explicitly set to true — request rejected
- dataClass not one of 'public' or 'synthetic' — enum validation error
- malformed row objects that don't match expected structure — partial or full error response

## How this service works

Check presence of required scientific dataset/method/revision/content pins; null is missing, not an invalid credential or artifact for sky frame/epoch/observer/method-pinned Supplied-record analysis, not independent certification. Full contract at the free describe URL.

## Output

Returns per-row coverage status indicating which required fields are null or missing in each submitted sky observation record, helping identify incomplete records without certifying data accuracy or credentials.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "maxItems": 32,
   "minItems": 1
  },
  "dataClass": {
   "enum": [
    "public",
    "synthetic"
   ],
   "type": "string"
  },
  "requiredFields": {
   "type": "array",
   "maxItems": 8,
   "minItems": 1
  },
  "nonpersonalMetadata": {
   "type": "boolean",
   "const": true
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sky-observations-required-field-coverage-check-0fe9d6a1/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from www.mahastrategies.com](https://www.zero.xyz/host/www.mahastrategies.com/llms.txt)