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Change Audit: LOOBin Schema Validator
x402
Change Audit: LOOBin Schema Validator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Audits JSON changes between a before and after document validated against the LOOBin schema, reporting added/removed/changed paths and introduced/resolved validation errors.
Price / call$0.01
Success—
StatusUnknown
How this service works
Change audit: LOOBin: Audit JSON changes and validate before/after for LOOBin. Uses a pinned SchemaStore definition on this PC. Reports JSON pointers and rule violations, added/removed/changed paths and introduced/resolved errors. Up to 100 KB per document; no YAML/TOML parsing or deployment/security guarantee. 0.01 USDC includes one two-document change audit.
Output
Returns a structured report containing JSON pointers for all added, removed, and changed paths between the before and after documents, along with any newly introduced schema rule violations and any previously existing errors that were resolved, validated against the pinned LOOBin SchemaStore definition.
Example use cases
Catching breaking schema changes
“I just updated my LOOBin JSON config — can you compare the old version and the new version and flag any new validation rule violations or fields I accidentally removed?”
Verifying a LOOBin PR diff
“Before I merge this pull request, can you run a change audit on the before and after LOOBin JSON to confirm no new schema errors were introduced and list all the paths that changed?”
Confirming error resolution after a fix
“I think I fixed the schema violations in my LOOBin JSON — can you compare the broken version to the fixed version and confirm the errors are resolved and nothing new broke?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-schema-loobin-15709bbb-changes?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need to audit changes to LOOBin JSON documents against the pinned LOOBin SchemaStore schema definition. It is ideal for CI/CD pipelines or code review workflows where you need a precise diff of JSON pointers alongside schema compliance status for both document versions, at a low per-call cost.
Side effects
- Document exceeds 100 KB limit — returns an error indicating the size constraint
- JSON nesting exceeds 32 levels — rejected with a depth violation error
- Invalid JSON submitted (non-parseable input) — parse error returned
- YAML or TOML content submitted instead of JSON — not supported, error returned
- Missing before or after fields — defaults to empty object for before if omitted
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | — | JSON value to validate; maximum 100 KB, 32 levels. |
| before | — | JSON value to validate; maximum 100 KB, 32 levels. |
Tags
x402
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