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Catalyst Measurements - Unit-Label Consistency Checker
x402
Catalyst Measurements - Unit-Label Consistency Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.012318/call, status unknown (last checked 2026-10-16).
Checks quantity/unit label compatibility and detects conflicting unit labels within a catalyst measurement dataset, without performing numerical unit conversion.
Price / call$0.012318
Success—
StatusUnknown
How this service works
Check quantity/unit compatibility and conflicting unit labels only within the same dataset/subject/run/method/revision/quantity frame; never convert numerically for catalyst measurement Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a consistency report indicating whether all unit labels within the supplied catalyst measurement records are compatible, identifying any conflicting or incompatible unit label pairs within the same dataset/subject/run/method/revision/quantity frame. Does not perform numerical conversion — outputs label-level conflict detection only.
Example use cases
Pre-review unit consistency audit
“Before I submit this batch of catalyst measurements for evidence review, can you check whether all the unit labels are consistent and flag any conflicts? There are 20 records, all public data, and I want to catch any unit mismatches now.”
Lab data quality check before reporting
“I just finished a catalyst run and collected 8 measurement records — all synthetic data — can you verify there are no conflicting unit labels across the measurements in this dataset before I write up the results?”
Detecting unit label errors in imported data
“I imported 30 public catalyst measurements from a partner lab and I suspect some unit labels might be inconsistent. Can you scan them and tell me which ones have conflicting or incompatible unit labels?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/catalyst-measurements/unit-label-consistency?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to verify unit label coherence within a catalyst measurement dataset before downstream analysis, reporting, or evidence review — specifically when you want label-level conflict detection without any numerical unit conversion. Ideal for pre-submission QA on lab data, imported measurement batches, or multi-run catalyst datasets where unit labeling errors are a known risk.
Side effects
- More than 32 measurement items supplied — request rejected due to maxItems constraint
- Missing or invalid dataClass enum value (must be 'public' or 'synthetic')
- nonpersonalMetadata not set to true — required field missing
- Malformed measurement records causing schema validation failure
- Empty measurements array (minItems:1 not satisfied)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| dataClass | string | |
| measurements | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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