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AI Harness Config Validator
x402
AI Harness Config Validator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Validates a JSON document against a pinned SchemaStore AI Harness configuration schema, returning JSON pointer violations and rule errors.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validate AI Harness config: Validate a JSON document for AI Harness config. 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 validation result indicating whether the JSON document conforms to the pinned SchemaStore AI Harness config schema, including a list of JSON pointer paths and their corresponding rule violation messages for any detected errors.
Example use cases
Pre-deployment config sanity check
“Before I push this AI Harness config to production, can you validate this JSON and tell me if there are any schema violations or missing required fields? Here's the config: {"model":"claude-3","tools":[],"system_prompt":"You are a helpful assistant."}”
Debugging a malformed harness config
“My AI Harness setup keeps failing and I think the config JSON is wrong — can you validate it and point out exactly which fields or rules are broken? Here's what I have: {"harness":{"version":2,"agents":null}}”
CI pipeline config validation gate
“I need to check whether this AI Harness configuration JSON passes schema validation before merging the PR — validate this document and list every JSON pointer that has a rule violation: {"name":"test-harness","steps":[{"action":"run","input":""}]}”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-schema-ai-harness-config-583a28f6-validate?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate a JSON document specifically against the AI Harness configuration schema with pinned SchemaStore definitions, and you want precise JSON pointer–based error reporting. Prefer this over generic JSON validators when the target schema is AI Harness config specifically, or when you need deterministic, reproducible validation against a fixed schema version rather than the latest.
Side effects
- Document exceeds 100 KB size limit — rejected
- JSON nesting exceeds 32 levels deep — rejected
- Malformed JSON (not parseable) submitted — error response
- Schema definition unavailable on server — internal error
- Empty or null document submitted — may return schema-level required-field violations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| document | — | JSON value to validate; maximum 100 KB, 32 levels. |
Tags
x402
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