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Validate Aurora Agile Meta-Framework
x402
Validate Aurora Agile Meta-Framework 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).
Validates a JSON document against the Aurora Agile Meta-Framework schema from SchemaStore, reporting JSON pointer violations and rule errors.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validate Aurora Agile Meta-Framework: Validate a JSON document for Aurora Agile Meta-Framework. Uses a pinned SchemaStore definition on this PC. Reports JSON pointers and rule violations. Up to 100 KB per document; no YAML/TOML parsing or deployment/security guarantee. 0.01 USDC includes one JSON document validation.
Output
Returns a list of JSON pointer paths and corresponding rule violations found in the submitted document, or a confirmation that the document is valid against the pinned Aurora Agile Meta-Framework SchemaStore definition. No YAML/TOML conversion or deployment/security guarantees are provided.
Example use cases
Pre-commit Aurora Agile config check
“Before I commit this Aurora Agile Meta-Framework config, can you validate the JSON and tell me if there are any schema violations or bad JSON pointers?”
Debugging malformed agile framework file
“My Aurora Agile Meta-Framework JSON keeps getting rejected — can you validate it and list all the rule violations with their exact locations?”
CI pipeline schema gate
“I need to confirm this Aurora Agile Meta-Framework JSON document is fully valid against the SchemaStore definition before we proceed — can you run it through validation and report any errors?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-schema-aurora-agile-meta-framewor-3246ed41-validate?utm_source=zero.xyzWhen to prefer
Use this endpoint when you specifically need to validate a JSON document against the Aurora Agile Meta-Framework schema from SchemaStore, particularly in automated pipelines or agent workflows where schema compliance must be confirmed before further processing. Prefer this over generic JSON validators when the Aurora Agile Meta-Framework ruleset is required.
Side effects
- Document exceeds 100 KB size limit — rejected
- JSON nesting deeper than 32 levels — rejected
- Malformed JSON submitted (not parseable) — error returned
- Schema pointer not resolvable — validation may be incomplete
- Network timeout on large documents near the size limit
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| document | — | JSON value to validate; maximum 100 KB, 32 levels. |
Tags
x402
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