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Quantum Shot Dataset Lineage Checker
x402
Quantum Shot Dataset Lineage Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010071/call, status unknown (last checked 2026-10-23).
Validates declared parent IDs, configuration pins, and shot-count totals for quantum shot datasets, detecting missing or cyclic lineage offline without querying hardware.
Price / call$0.010071
Success—
StatusUnknown
How this service works
Check declared shot-dataset parent IDs, configuration pins and shot-count totals. Reports missing/cyclic lineage without querying hardware or validating randomness. Offline typed metadata only. Retained-result recovery: 24 hours; minimal receipt metadata: 90 days.
Output
A structured report indicating whether each submitted quantum shot dataset has valid lineage, including flags for missing parent IDs, detected cyclic references, shot-count mismatches against the expected total, and configuration digest pin status — all derived from offline typed metadata without hardware queries.
Example use cases
Quantum pipeline lineage audit
“I have 8 synthetic quantum shot datasets from our latest run. Can you verify their declared parent IDs and configuration pins, expecting 50000 total shots with digest 'sha256-deadbeef', and flag any missing or cyclic lineage?”
Pre-publication dataset integrity check
“Before I publish these 3 public quantum shot datasets, can you check their lineage metadata — expecting 25000 shots each and config digest 'cfg-9f3a2b' — to make sure there are no broken parent references or cycles?”
Automated QA for shot dataset batch
“Run a lineage check on this batch of 15 synthetic quantum shot datasets, expected shot count is 100000 and config digest is 'qcfg-7712ee', and report back which ones have missing parent IDs or cyclic dependencies.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/verify/quantum/shot-lineage?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, offline, hardware-independent check of quantum shot dataset lineage metadata — specifically to detect missing or cyclic parent ID chains, validate configuration digest pins, and confirm shot-count totals without executing any quantum hardware queries or randomness validation. Ideal for data quality control pipelines, pre-publication audits, and automated QA workflows on batches of up to 32 synthetic or public quantum datasets.
Side effects
- Invalid or malformed dataset entries return validation errors
- dataClass value outside 'public' or 'synthetic' enum rejected
- nonpersonalMetadata not set to true causes request rejection
- expectedShots outside 0–1,000,000 range returns schema error
- More than 32 datasets in a single request exceeds maxItems limit
- Malformed expectedConfigurationDigest string may produce inconclusive digest comparison
- No result recovery after 24-hour retention window; only minimal receipt metadata available for 90 days
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datasets | array | |
| dataClass | string | |
| expectedShots | integer | |
| nonpersonalMetadata | boolean | |
| expectedConfigurationDigest | string |
Tags
x402
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