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Reaction Records - Duplicate Record Identity Checker
x402
Reaction Records - Duplicate Record Identity Checker is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010316/call, status unknown (last checked 2026-10-16).
Compares duplicate owner, subject, and revision declarations in reaction records across every scientific frame to detect conflicting or redundant identities.
Price / call$0.010316
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 a structured comparison of owner, subject, and revision identity declarations across submitted reaction record rows, flagging groups where duplicate or conflicting identities are found within the scientific frame. This is a supplied-record analysis, not an independent certification.
Example use cases
Detect duplicate chemistry dataset entries
“I have a batch of up to 30 reaction records and I want to know if any of them have conflicting or redundant owner, subject, or revision declarations — the data is synthetic and nonpersonal, can you run a duplicate identity check?”
Audit reaction record revisions for conflicts
“Before publishing this set of reaction records, can you compare all the owner and revision fields to see if any identities are duplicated or contradictory? The dataset is public and has no personal metadata.”
Validate record identity uniqueness before ingestion
“I need to validate these 15 reaction records for duplicate subject and owner declarations before ingesting them — the data class is synthetic and all metadata is nonpersonal.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/reaction-records/duplicate-record-identities?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to detect duplicate or conflicting owner, subject, or revision identity declarations specifically within reaction records, and your data is either public or synthetic with nonpersonal metadata. Prefer this over general deduplication services when working within a scientific/chemistry record-keeping context where identity frame accuracy matters.
Side effects
- Exceeds 32 row limit — request rejected
- dataClass not one of 'public' or 'synthetic' — validation error
- nonpersonalMetadata not explicitly set to true — request rejected
- Malformed rows array — schema validation failure
- Empty rows array — minimum items constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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