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Reading Plans - Duplicate Record Identity Detector
x402
Reading Plans - Duplicate Record Identity Detector is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.01034/call, status unknown (last checked 2026-10-16).
Groups and compares declared organization, record, and revision identities across sources, jurisdictions, and record kinds to surface duplicate reading plan records.
Price / call$0.01034
Success—
StatusUnknown
How this service works
Group declared organization/record/revision identities and compare every source, jurisdiction, record-kind and content Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns grouped analysis of duplicate record identities, comparing each supplied record across sources, jurisdictions, record kinds, and content signatures. The result reflects supplied-record analysis only, not independent certification.
Example use cases
Library catalog deduplication audit
“I've got 15 reading plan entries from different sources in our library system and I need to find which ones are duplicates — can you group them by their declared identities across jurisdictions and record kinds? The data is public and nonpersonal.”
Multi-source record reconciliation
“We have 30 reading plan records pulled from multiple organizations and I want to know which share the same identity across sources and revisions — group them and flag any duplicates. Data class is synthetic and nonpersonal metadata only.”
Revision identity conflict detection
“Can you take these 10 reading plan revision records and compare their declared identities to find any that look like the same record entered from different sources or jurisdictions? All data is public and nonpersonal.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/library/reading-plans/duplicate-record-identities?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to detect and group duplicate reading plan records from caller-supplied data across multiple sources, jurisdictions, or organizational declarations. It is best suited for library catalog deduplication, revision reconciliation, and multi-source record analysis where the input is limited to 32 rows of public or synthetic, nonpersonal data.
Side effects
- Fewer than 1 or more than 32 rows supplied — validation error
- dataClass not one of 'public' or 'synthetic' — enum validation failure
- nonpersonalMetadata not set to true — const constraint violation
- Malformed row objects — schema rejection
- Ambiguous identity fields in rows — may produce inconclusive groupings
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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