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Quantum Calibrations - Duplicate Record Identities
x402
Quantum Calibrations - Duplicate Record Identities is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010311/call, status unknown (last checked 2026-10-16).
Groups and identifies duplicate backend/run/revision frames within caller-supplied public or synthetic quantum calibration declarations, flagging repeated projections while separating conflicting measurement or register-size pins.
Price / call$0.010311
Success—
StatusUnknown
How this service works
Group exact backend/run/revision frames; conflicting measurement, scope or register-size pins are separate from repeated projections. Ingestion IDs do not identify calibration runs. Caller-supplied public/synthetic nonpersonal calibration declarations only. No hardware measurement, device/API access, recalibration, mitigation, performance guarantee or scientific certification. Input limit: 32 KiB. Result retention: 24 hours; minimal receipt metadata: 90 days.
Output
Returns grouped sets of duplicate backend/run/revision frame records from the submitted calibration rows, distinguishing between exact repeated projections and frames with conflicting measurement, scope, or register-size pins. Results are retained for 24 hours; minimal receipt metadata is kept for 90 days.
Example use cases
Deduplicating synthetic calibration batch
“I have 20 synthetic quantum calibration records I want to check for duplicate identities — can you group the repeated backend/run/revision frames and flag any that are exact duplicates? All data is nonpersonal and marked synthetic.”
Auditing public calibration declarations
“Here are 12 public calibration declarations from our pipeline — run them through the duplicate identity check and tell me which rows share the same backend and revision frame so I can clean up the dataset before submission.”
Separating conflicting from repeated frames
“I've got 25 public calibration rows where I suspect some are true duplicates but others just have conflicting measurement pins — can you group the repeated projections separately from the conflicting register-size entries? All metadata is nonpersonal.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/quantum-calibrations/duplicate-record-identities?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a bounded batch (up to 32 rows) of caller-supplied public or synthetic quantum calibration declarations and need to detect and group duplicate backend/run/revision frame identities without any hardware access, recalibration, or scientific certification requirement. Prefer this over generic deduplication tools when the domain is specifically quantum calibration metadata and you need conflicting measurement pins separated from pure repeated projections.
Side effects
- Input exceeds 32 KiB limit — request rejected
- nonpersonalMetadata field not set to true — validation error
- dataClass not set to 'public' or 'synthetic' — enum validation failure
- rows array empty or exceeds 32 items — schema violation
- Ingestion IDs submitted as calibration run identifiers — not recognized as valid calibration identifiers
- Hardware measurement or device-access data submitted — not supported
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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