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Every non-2xx response from the Foil API returns a structured JSON envelope. Treat error.code as the stable, machine-readable field and error.message as human-facing guidance that may evolve.

Error envelope

HTTP status codes

4xx responses indicate the caller needs to change something before retrying; 5xx responses indicate Foil’s side needs to recover. The error.retryable field encodes this directly and is safe to key retry logic off.

Error code taxonomy

Error codes are namespaced with a category prefix. The prefix tells you which layer rejected the request; the suffix tells you specifically what went wrong. Branch your error handling on the category prefix first, the specific code second. A generic “auth failure” path that handles any auth.* code is usually correct, with specific codes adding nuance only where your UX demands it (e.g. handling auth.origin_not_allowed by reminding the developer to add their domain to the key’s allowed origins, or auth.insufficient_scope by pointing at the missing scope). The browser SDK surfaces its own client-side codes - config.* and runtime.*, plus transport.upgrade_required - documented alongside the SDK. See Browser SDK → Error codes for the full table, including retry semantics and the recommended fallback policy.

Details field

Some error codes include a structured details object with extra context.

Field errors (request.validation_failed)

Each fields[] entry carries:
  • name - dot-path to the offending field in the request body (or query)
  • issue - a stable short code describing why the value was rejected
  • expected - an optional human-readable description of what’s valid
  • received - the value the server saw (redacted for sensitive fields)

Next action hints

Some errors include a next_action in details to make retry logic straightforward: For everything else, key your retry logic off error.retryable and the HTTP status - see Retry strategy.

Enumerated fields

When a field only accepts a fixed set of values, the rejected field’s expected lists them.

Rate limiting

Rate-limited responses return 429 Too Many Requests with:
  • Retry-After header - seconds until the next acceptable retry
  • X-RateLimit-Limit - the ceiling for this organization and key type
  • X-RateLimit-Remaining - 0 at the point of rejection
Respect Retry-After. Don’t retry inside the window - further requests count against the limit and typically extend the cooldown. For bulk workflows, the server SDKs include built-in retry-with-backoff that honors this header. See Authentication → Rate limits for organization-level defaults.

Using request_id

Every response (success and failure) carries a request_id in the meta block for successful responses, and in error.request_id for failures. Include it verbatim when you:
  • Email security@usefoil.com about a suspected security issue
  • Open a support ticket about an unexpected error
  • Correlate a client-side report with server-side logs
The ID looks like req_0123456789abcdef0123456789abcdef (32 hex characters after the prefix). It’s unique per request and never reused.

Handling errors in the server SDKs

Each server SDK throws structured error types that mirror the envelope above. The Node SDK’s types illustrate the pattern every SDK follows.
Node.js
Error classes across the SDKs: All expose equivalent fields - status, code, request_id, field_errors, docs_url, and the raw response body.

Retry strategy

A minimal retry loop that handles the common cases:
  1. Read error.retryable. If false, don’t retry - the request will fail the same way every time.
  2. If the status is 429, wait for Retry-After seconds before retrying.
  3. If the status is 5xx, retry with exponential backoff (e.g. 0.5s, 1s, 2s, 4s, capped at 30s) with jitter.
  4. Cap total retries at 3–5 attempts before surfacing the error to the caller.
  5. Always log error.request_id on the last attempt so support can correlate.
The server SDKs ship with this logic built in - you generally only need to write your own for custom HTTP clients.

What’s next

Authentication

Key types, scopes, and lifecycle.

Pagination

Iterating through list endpoints.

API introduction

Surface-level summary of the API.

Troubleshooting

Operational guidance when things go wrong.