# Scientific Dataset Records - Declared Bound Audit

> Scientific Dataset Records - Declared Bound Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010174/call, status unknown (last checked 2026-10-20).

Audits declared nonnegative integer aggregate counts in scientific dataset records against one caller-supplied inclusive bound, matching across source, subject, snapshot, and unit dimensions.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/intel/scientific-dataset-records/declared-bound-audit?utm_source=zero.xyz
- Price: $0.010174/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/scientific-dataset-records-declared-bound-audit-c93dc6c0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_h-pvp5P0Wtfbg4NNEc3ei

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 scientific-dataset-records-declared-bound-audit-c93dc6c0 -d '<json body>'
```

Example prompt: Audit my public scientific dataset measurements against a declared bound of 500 — I have 12 measurement entries and need to verify the aggregate counts across all sources, subjects, and snapshots don't exceed that limit, with nonpersonalMetadata set to true.

## When to prefer this

Use this endpoint when you need to programmatically audit declared integer aggregate counts in scientific dataset records against a single caller-supplied inclusive bound, specifically across source, subject, snapshot, and unit axes. Prefer it over general data validation services when your use case involves structured scientific measurement records classified as public or synthetic and you require strict nonnegative integer count comparison semantics.

## Known failure modes

- Missing or invalid bounds array (fewer than 1 or more than 32 items)
- measurements array out of range (must have 1–32 items)
- nonpersonalMetadata not set to true (const constraint violation)
- dataClass not one of 'public' or 'synthetic'
- Malformed integer values in measurement records causing comparison failure
- Bounds and measurements array length mismatch leading to ambiguous pairing

## How this service works

Compare exact nonnegative integer aggregate counts with one inclusive caller-supplied bound matching every source, subject, snapshot and unit Supplied-record analysis, not independent certification. Full contract at the free describe URL.

## Output

Returns a per-entry audit result comparing each declared nonnegative integer aggregate count against the supplied inclusive bound, flagging mismatches across source, subject, snapshot, and unit dimensions. This is a supplied-record analysis, not independent certification.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/scientific-dataset-records-declared-bound-audit-c93dc6c0/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)