A durable API error contract separates machine-readable code, human-readable message, retryable state, optional details, and a traceable requestId. Validate the envelope with JSON Schema, extract batch codes with JSONPath, inventory key paths, compare legacy and target envelopes with Deep Diff, and review migrations with JSON Patch. Public examples are synthetic and must not contain customer inputs, accounts, tokens, logs, or private request identifiers.
Schema / JSONPath / error codes / migration Patch
JSON API error response contract review tools
Review error.code, message, retryable, details, and requestId with synthetic error responses before an API release.
JSON API error response contractAPI error Schema validatorerror response JSONPathrequestId debuggingerror code field inventoryerror envelope diffcurl error request to code
Lock stable fields before frontend logic drifts
HTTP status explains transport, while business code, retryable state, details, and requestId explain what the client should do next. Do not force client code to parse human-readable message text.
- Must Do: keep code and requestId stable and loggable.
- Must Do: keep public examples synthetic.
- Should Do: use details[] for field-level failures.
Turn release review into a shareable debugging workflow
Replay one minimal synthetic failure with cURL first, then use Schema, JSONPath, key paths, Diff, and Patch to answer what the API returns, what the client depends on, and how the envelope is changing.
- Must Do: keep cURL examples limited to Chakan-owned URLs and synthetic payloads.
- Should Do: keep 4xx, 429, 422, and 503 style codes explicit.
- Later: live API replay and private log sampling stay blocked.
Common lookup scenarios
Validate a consistent error Schema
Extract errors[*].code and error.details[*].field
Inventory error key paths
Compare legacy and target error envelopes
Review a legacy envelope migration
Convert a failure-review cURL into readable request code
Recommended workflow
- Define stable error fields
- Replay a synthetic failure request with cURL
- Validate a synthetic failed response
- Check client dependencies with JSONPath and key paths
- Compare legacy and target envelopes with Deep Diff
- Review the migration Patch and documentation
Related tool entries
Review error.code, message, retryable, details, and requestId with synthetic error responses before an API release.
JSON Schema validator
Use this json schema validator tool to inspect, convert, or generate a clear result directly in your browser.
LookupToolChakanJSONPath viewer
Use this jsonpath viewer tool to inspect, convert, or generate a clear result directly in your browser.
LookupToolChakanJSON key path extractor
Extract JSON key paths with node types, depth, and path formats to speed up field inventory and mapping preparation.
LookupToolChakanJSON diff and patch viewer
Generate and apply RFC 6902 style JSON Patch operations (add/remove/replace/test) to review payload changes, failed test assertions, and migration safety.
LookupToolChakanJSON deep diff
Use this json deep diff tool to inspect, convert, or generate a clear result directly in your browser.
LookupToolChakancURL to code converter
Parse a browser Copy as cURL (bash) command into a readable request summary and generate browser-local JavaScript fetch, Python requests, Go net/http, or JSON request snippets without sending secrets to a third-party service.
LookupToolChakanFAQ
A durable API error contract separates machine-readable code, human-readable message, retryable state, optional details, and a traceable requestId. Validate the envelope with JSON Schema, extract batch codes with JSONPath, inventory key paths, compare legacy and target envelopes with Deep Diff, and review migrations with JSON Patch. Public examples are synthetic and must not contain customer inputs, accounts, tokens, logs, or private request identifiers.
Why should API errors keep stable code and requestId fields?
A stable code supports client logic while requestId supports server-side tracing without exposing private logs. Human-readable message text should not drive program flow.
Does this prove search indexing or AI citation?
No. It improves public crawlability and clarity but does not prove indexing, ranking, or citation by any platform.
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