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IndexedDB Cursor Key-Range Update Transaction Replayer
x402
IndexedDB Cursor Key-Range Update Transaction Replayer is a paid API for AI agents from detect.halowerk.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-11-04).
Replays and validates IndexedDB cursor transactions including key-range scans, object store index operations, and transactional updates against a bounded artifact ledger.
Price / call$0.003
Success—
StatusUnknown
How this service works
Replay IndexedDB cursor transactions.
Output
Returns the replayed transaction ledger state including final record values, cursor positions after traversal, index states, and whether the transaction committed or aborted — allowing the caller to verify correctness of IndexedDB cursor update behavior against expected outcomes.
Example use cases
Web platform test fixture validation
“I have an IndexedDB fixture with two indexes — 'name' (unique, not multi-entry) and 'date' (non-unique, multi-entry) — and three initial records with number keys. Replay the cursor update transaction across the key range without aborting and tell me what the final ledger looks like.”
Cursor abort path verification
“Replay this IndexedDB cursor transaction but set abort to true so I can verify what happens when the transaction is rolled back — the store has one index called 'score' and two initial records with binary keys.”
IndexedDB index cursor update correctness check
“I need to verify correctness of an IndexedDB cursor update: the object store has a 'tag' index (non-unique, multi-entry), initial data with array keys containing two elements each, and a payload string of 'deadbeef'. Run the replay and return the transaction ledger result.”
Technical details
Endpoint
POSThttps://detect.halowerk.com/v1/F-TD2000-DOCUMENTS-17/indexeddb202610-objectstore-index-cursor-key-range-update-transaction-ledger?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, sandboxed replay and validation of IndexedDB cursor transactions — particularly for web platform conformance testing, browser storage engine verification, or fixture-driven test harness scenarios. It is distinct from live browser IndexedDB APIs because it operates offline against a bounded artifact ledger, making it ideal for CI pipelines and automated correctness checks.
Side effects
- Invalid key type or value out of allowed range returns a schema validation error
- Key pattern contains non-hex characters for binary type causing rejection
- Index or field names contain characters outside lowercase a-z causing validation failure
- Array key exceeds maxItems of 8 causing rejection
- Payload or string values exceed maxLength constraints returning an error
- Malformed artifact structure with missing required properties returns 400
- Transaction replay produces unexpected state divergence from fixture
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| artifact | object |
Tags
x402
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