# Robotics Telemetry Unit-Label Consistency Audit

> Robotics Telemetry Unit-Label Consistency Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.012325/call, status unknown (last checked 2026-10-16).

Audits quantity and unit label consistency within a supplied robotics telemetry frame, including coordinate, clock, model, and calibration record labels.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/compute/robotics-telemetry/unit-label-consistency?utm_source=zero.xyz
- Price: $0.012325/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/robotics-telemetry-unit-label-consistency-audit-e362e9be
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VVwnixZlWiIZVJIubKuFZ

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 robotics-telemetry-unit-label-consistency-audit-e362e9be -d '<json body>'
```

Example prompt: Audit the unit label consistency in these 12 synthetic robotics telemetry measurements — flag any mismatches in quantity or unit labels across the coordinate and clock fields.

## When to prefer this

Use this endpoint when you need a fast, per-frame audit of unit and quantity label consistency specifically in robotics telemetry data (coordinates, clocks, model outputs, calibration records) using public or synthetic data. Prefer this over generic data validation tools when the domain is robotics sensor/telemetry and the concern is label-level unit consistency rather than value ranges or schema structure.

## Known failure modes

- measurements array empty or exceeds 32 items — request rejected
- nonpersonalMetadata not set to true — request rejected
- dataClass not one of 'public' or 'synthetic' — validation error
- malformed measurement records — analysis may return partial results or error
- network timeout on large frames near the 32-item limit

## How this service works

Audit quantity/unit labels in the exact supplied frame, including coordinate/clock or model/calibration Supplied-record analysis, not independent certification. Full contract at the free describe URL.

## Output

Returns a structured consistency report for the supplied telemetry frame, indicating which measurement records have consistent or mismatched quantity/unit labels, with findings specific to coordinate, clock, model, and calibration label types. Does not independently certify data — analysis is scoped to the exact supplied frame.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "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/robotics-telemetry-unit-label-consistency-audit-e362e9be/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)