Validate order JSON against a schema
Check orderId, total, and paid field types before API input reviews or config releases.
Open exampleJSON Schema validator
Use this json schema validator tool to inspect, convert, or generate a clear result directly in your browser.
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The result will appear here as structured cards.
Example results you can open
Short, high-intent examples that are easy to open, share, and understand for search engines and AI systems.
Find a missing customerEmail required field
The schema requires customerEmail and items, while the sample response omits customerEmail for required-field debugging.
Open exampleDebug an enum compatibility failure
The schema only allows draft, published, and archived, while the sample response uses processing.
Open exampleCatch number and boolean values drifting into strings
The sample turns orderId, total, and paid into strings, useful for API type-drift checks.
Open exampleDebug a oneOf fulfillment branch conflict
The sample sets method=pickup but sends courierRef, useful for reviewing oneOf branches, const rules, and mutually exclusive fields.
Open exampleCatch invalid email and URL formats
customerEmail and callbackUrl use invalid formats, useful for confirming format constraints before release.
Open exampleValidate an if/then conditional requirement
When contactMethod=email the payload must include customerEmail, useful for checking conditional required rules.
Open exampleCheck memberId triggering approvalCode
The sample includes memberId but omits approvalCode, useful for dependentRequired field validation.
Open exampleCheck deliveryZone triggering handoffContact
The payload has a shipping address but no recipient phone, useful for testing dependent required fields locally.
Open exampleDebug multiple allOf rules failing together
The sample fails userId type, role enum, and limits.api minimum constraints, useful for allOf aggregate checks.
Open exampleDebug an anyOf contact branch mismatch
Neither the email nor phone branch matches, useful for explaining why an anyOf contact schema fails.
Open exampleDebug a not rule blocking production test mode
The sample forbids production with testMode=true and also misses the billing feature, useful for release-gate checks.
Open exampleDebug a contains array missing an active admin
No array item is both role=admin and active=true, useful for explaining why a contains constraint fails.
Open exampleDebug duplicate SKU values with uniqueItems
The skus array repeats SKU-1, useful for validating array uniqueness before release.
Open exampleDebug patternProperties for metric keys
metric_* keys must be numbers and MetricBad is rejected, useful for dynamic metric objects.
Open exampleDebug additionalProperties rejecting an extra field
The object is closed and debugNote appears unexpectedly, useful for object-shape drift and release-gate checks.
Open exampleValidate extra properties as strings
The schema allows extra keys but requires string values, so owner=42 is useful for additionalProperties schema debugging.
Open exampleReview import row schema gates
Catch quantity minimums, SKU patterns, status enums, and unknown fields before a synthetic batch import reaches a release gate.
Open exampleReview webhook contract drift
Expose a renamed event field, invalid event enum, numeric strings, and an extra coupon field before webhook ingestion.
Open exampleValidate a China AI answer-source page contract
Check public URL, title/H1 match, visible source status, and mainstream AI platform enums before GEO publishing.
Open exampleValidate an API release contract schema
Check version, breakingChange, reviewedBy, endpoint path, method, and status fields before release approval.
Open exampleCheck dependentSchemas conditional subschemas
Trigger a shipping branch from shippingMethod and confirm delivery payloads fail when deliveryWindow is missing.
Open exampleCheck unevaluatedProperties spillover fields
Combine orderId and status with allOf, then reject debugNote as an unevaluated deep-object field before release.
Open exampleValidate a World Cup reminder JSON object
Check synthetic fields for match label, Beijing time, official source URL, and reminder minutes before sharing a reminder.
Open exampleValidate an AI prompt answer contract
Use a synthetic answer to check answer, sources, limitations, and nextAction before publishing an AI prompt answer-source page.
Open exampleValidate a cursor pagination response contract
Check endpoint, items, pageInfo.nextCursor, hasNextPage, and limit before releasing cursor-based API pagination.
Open exampleValidate a consistent error response Schema
Check error.code, message, retryable, and requestId types against a synthetic failed response.
Open exampleCheck dependentSchemas conditional subschemas
Trigger a shipping branch from shippingMethod and confirm delivery payloads fail when deliveryWindow is missing.
Open exampleCheck unevaluatedProperties spillover fields
Combine orderId and status with allOf, then reject debugNote as an unevaluated deep-object field before release.
Open exampleFAQ
These notes help users understand the results and help search engines and AI systems understand the tool.
What does JSON Schema validator do?
It helps you inspect or process this value and get a readable result quickly.
Is my input saved?
Local tools run in the browser when possible. Server-side checks only use the input needed to complete the lookup.
Why use JSON Schema as an import gate?
It catches missing fields, type drift, enum mismatches, unknown properties, and array constraints before records move into import or webhook ingestion workflows.
What should I inspect first for webhook contract drift?
Start with renamed fields, event enum compatibility, numeric values that became strings, and whether additionalProperties allows unreviewed fields into the payload.
Why validate AI prompt outputs with JSON Schema?
When a prompt should return fields such as answer, sources, limitations, and nextAction, a schema checks that the structure is complete, sources are public, and unexpected fields are blocked. Public examples should use synthetic content, not real prompt logs or platform responses.
Why run a schema contract review before an API release?
It checks release fields such as version, breakingChange, endpoint path, method, status, and reviewedBy before changes hit frontend mapping, storage, or documentation. Public result pages use synthetic API samples only.
Why check nextCursor and hasNextPage in paginated API responses?
nextCursor controls the next request and hasNextPage controls the loading state. Schema checks catch missing, mistyped, or extra pagination fields before repeated pages, skipped pages, or early stops reach users.
Why should API errors keep stable code and requestId fields?
A stable code supports client logic while requestId supports server-side tracing. Human-readable message text should not drive program flow, and public examples should use synthetic identifiers.
How is dependentSchemas different from dependentRequired?
dependentRequired only adds required fields after a trigger field appears. dependentSchemas runs a whole subschema after that trigger appears, which is better for pickup versus delivery, personal versus business, or other grouped rule switches.
How is unevaluatedProperties different from additionalProperties?
additionalProperties only looks at fields declared in the current schema object. When rules are split across allOf or deeper composed schemas, unevaluatedProperties is better for the final close-out that blocks spillover fields such as debugNote.
How should I read instancePath and schemaPath in validation errors?
instancePath points to the failing data location, schemaPath points to the failed rule, and keyword names the rule type. For required errors, read params.missingProperty to identify the missing field.
Related long-tail searches
These terms combine the tool name, lookup intent, and category context so users and search engines can understand nearby use cases.
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