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Robotics Telemetry - Duplicate Record Identity Checker
x402
Robotics Telemetry - Duplicate Record Identity Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010325/call, status unknown (last checked 2026-10-16).
Detects and groups duplicate owner, subject, and revision declarations within robotics telemetry records by comparing them against scientific frame boundaries.
Price / call$0.010325
Success—
StatusUnknown
How this service works
Compare duplicate owner/subject/revision declarations against every scientific frame Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns analysis of which submitted telemetry rows share duplicate owner, subject, or revision declarations within the same scientific frame boundaries, grouping the matching records and identifying the specific conflicting fields. This is a supplied-record analysis only and does not constitute independent certification.
Example use cases
Audit robot sensor log deduplication
“I have up to 30 robotics telemetry rows from our lab's public dataset and I need to know which ones have the same owner and subject declared more than once within the same scientific frame — can you find those duplicates for me?”
Validate synthetic telemetry for repeated revisions
“We generated a batch of synthetic telemetry records and want to verify there are no duplicate revision declarations — can you compare them against their scientific frames and flag any repeated identities? Mark them as synthetic data and confirm no personal metadata is included.”
Pre-processing dedup check before ingestion
“Before I ingest these public robotics telemetry records into our pipeline, can you run a duplicate identity check on the owner and subject fields across all the rows to make sure we don't have conflicting revision declarations in the same frame?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/robotics-telemetry/duplicate-record-identities?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to detect duplicate owner, subject, or revision declarations specifically within robotics telemetry data framed by scientific context. It is suited for pre-ingestion data quality checks on batches of up to 32 public or synthetic (non-personal) telemetry records. Prefer it over generic deduplication tools when your data is structured as scientific telemetry frames and you need frame-aware duplicate grouping rather than simple field-level deduplication.
Side effects
- Submitting more than 32 rows returns a validation error
- Missing or false nonpersonalMetadata flag causes rejection
- Invalid dataClass value (not 'public' or 'synthetic') causes schema error
- Empty rows array fails minItems validation
- Malformed row objects may result in incomplete comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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