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Publication Records Condition Coverage Map
x402
Publication Records Condition Coverage Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035264/call, status unknown (last checked 2026-10-16).
Validates that exactly one caller-declared bibliographic relation per requested relation kind exists, matching specified publisher, work, DOI, edition, and snapshot pins, with a different target — analyzing supplied record coverage rather than independently certifying it.
Price / call$0.035264
Success—
StatusUnknown
How this service works
Require exactly one available caller-declared relation per requested bibliographic relation kind, with identical publisher/work/DOI/edition/snapshot pins and a different target Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a condition coverage map indicating whether each requested bibliographic relation kind has exactly one matching caller-declared relation with identical publisher, work, DOI, edition, and snapshot pins but a different target, along with per-kind pass/fail status and any coverage gaps identified in the supplied record rows.
Example use cases
Validate citation relation coverage for journal article
“For my journal article with DOI '10.5678/jphys.2023.09', check that I have exactly one declared relation per required kind for 'cites' and 'isVersionOf', with publisher ref 'pub-aps-007', work ref 'work-jphys-99', edition ref 'ed-v3-2023', using public data class and nonpersonal metadata.”
Confirm bibliographic pins before metadata submission
“Before I submit this bibliographic dataset, verify the condition coverage map for DOI '10.9999/mywork.001' — publisher ref 'pub-elsevier-33', work ref 'work-eco-17', edition ref 'ed-2022-final', metadata digest 'sha256-abc123', required relations ['isSupplementTo','references'], data class synthetic, nonpersonal metadata true.”
Audit relation declarations for edition snapshot alignment
“Audit my publication record relation declarations for DOI '10.1016/j.mat.2024.05' to make sure exactly one relation per kind exists for 'isDerivedFrom' and 'isBasedOn', with publisher ref 'pub-mat-science-02', work ref 'work-mat-55', edition ref 'ed-2024-spring', metadata revision 'rev-3', public data class and nonpersonal metadata only.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/publication-records/condition-coverage-map?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to deterministically verify that a set of caller-declared bibliographic relations satisfies an exactly-one-per-kind condition coverage requirement, with strict publisher, work, DOI, edition, and snapshot pin matching. Prefer this over general metadata validation when you specifically need relation-kind coverage analysis for publication records with DOI-anchored constraints and need to confirm a different target per matched relation.
Side effects
- Missing or invalid DOI (too short or malformed) returns validation error
- More than one relation found for a required kind violates exactly-one condition and returns coverage failure
- Zero relations found for a required kind returns uncovered condition error
- nonpersonalMetadata not set to true returns contract violation error
- requiredRelations array empty or exceeding 3 items returns schema validation error
- Mismatched publisher/work/edition pins between rows returns pin mismatch error
- Invalid dataClass enum value returns schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| doi | string | |
| rows | array | |
| workRef | string | |
| dataClass | string | |
| editionRef | string | |
| publisherRef | string | |
| metadataDigest | string | |
| metadataRevision | string | |
| requiredRelations | array | |
| nonpersonalMetadata | boolean |
Tags
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