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Scientific Dataset Records - Source Coverage Map
x402
Scientific Dataset Records - Source Coverage Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035297/call, status unknown (last checked 2026-10-16).
Binds scientific dataset record references to an exact owner/subject/revision/content/source frame and maps source coverage across supplied rows and sources.
Price / call$0.035297
Success—
StatusUnknown
How this service works
Bind record references to an exact owner/subject/revision/content/source frame; hash-shaped strings are declarations, not independently verified source bytes for repository/dataset/schema/method/revision-pinned manifest Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a source coverage map that binds each supplied dataset record row to its declared owner, subject, revision, content, and source frame. The response indicates which rows are covered by which sources and flags any missing or unmatched bindings. Results are declared-record analysis, not independently certified source bytes.
Example use cases
Public dataset source coverage audit
“I have 20 scientific dataset rows and 8 declared sources — can you run a source coverage map on them, treating them as public data with nonpersonal metadata, so I can see which rows are covered by which sources?”
Synthetic dataset provenance binding check
“Check source coverage for my synthetic dataset: I have 15 record rows and 6 sources I need to bind them against — mark it as synthetic data and nonpersonal metadata only.”
Revision-pinned manifest source inspection
“I need to inspect source coverage for a set of scientific dataset records — 12 rows, 4 sources, public data class, nonpersonal metadata — and get back a declared coverage map showing which records are bound to which sources.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/scientific-dataset-records/source-coverage-map?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to map declared source coverage across a bounded set of scientific dataset records (up to 32 rows and 32 sources) against exact owner/subject/revision/content pins. It is appropriate for nonpersonal, public or synthetic data analysis where you need a structured coverage declaration rather than independent certification. Prefer this over generic validation tools when working specifically with scientific dataset manifests that require source-frame binding.
Side effects
- Rows or sources array exceeds maxItems limit of 32 — request rejected
- Missing required nonpersonalMetadata:true field — validation error
- Invalid dataClass value outside enum [public, synthetic] — schema validation failure
- Empty rows or sources arrays (below minItems:1) — request rejected
- Ambiguous or hash-shaped strings that cannot be resolved to declared source frames — partial coverage map returned
- Timeout if payload is near the maximum array sizes
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| sources | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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