Awesome-omni-skill apideck-best-practices

Best practices for building Apideck integrations. Covers authentication patterns, pagination, error handling, connection management with Vault, webhook setup, and common pitfalls. Use when designing or reviewing any Apideck integration regardless of language.

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The Apideck Unified API base URL is

https://unify.apideck.com
. All API calls must be made server-side to prevent token leakage.

Authentication

Every API call requires three headers:

Authorization: Bearer {API_KEY}
,
x-apideck-app-id
, and
x-apideck-consumer-id
. The
x-apideck-service-id
header specifies which downstream connector to use (e.g.,
salesforce
,
quickbooks
,
xero
). When a consumer has multiple connections for the same unified API,
x-apideck-service-id
is required.

Never hardcode API keys in source code. Always use environment variables or a secrets manager. Never expose API keys to the client/browser.

SDK Selection

Always use the official Apideck SDK for the user's language. Do not make raw HTTP calls when an SDK is available:

LanguagePackage
TypeScript/Node.js
@apideck/unify
Python
apideck-unify
C# / .NET
ApideckUnifySdk
Java
com.apideck:unify
Go
github.com/apideck-libraries/sdk-go
PHP
apideck-libraries/sdk-php

All SDKs follow the same CRUD pattern:

client.{api}.{resource}.{operation}()
. All SDKs support retry configuration with exponential backoff.

Consumer ID Architecture

The

consumerId
represents your end-user — the person whose third-party connections you're accessing. In multi-tenant SaaS applications:

  • Create one Apideck consumer per customer/tenant
  • Store the mapping between your user IDs and Apideck consumer IDs
  • Pass the correct
    consumerId
    per request — never use a shared consumer for all users
  • Use Vault sessions to let each user manage their own connections

Connection Management

Always use Apideck Vault for managing end-user connections. Never build custom OAuth flows when Vault handles them.

Use

@apideck/vault-js
to embed the connection management modal in your frontend. Session creation must always happen server-side:

  1. Server-side: Create a Vault session via
    vault.sessions.create()
    with the consumer's metadata
  2. Client-side: Open the modal with
    ApideckVault.open({ token })
  3. Handle
    onConnectionChange
    callbacks to update your UI when users authorize/modify connections

Customize the Vault modal appearance via session

theme
properties (logo, colors, vault name) to match your brand.

Pagination

Apideck uses cursor-based pagination across all list endpoints. Always paginate — never assume a single page returns all records.

  • Set
    limit
    (1-200, default 20) to control page size
  • Use the SDK's built-in pagination:
    for await...of
    (Node.js),
    .next()
    (Python/Go/.NET),
    callAsStream()
    (Java),
    foreach
    generator (PHP)
  • Stop when the next cursor is
    null

For incremental sync, use

filter[updated_since]
with an ISO 8601 timestamp to fetch only records modified since your last sync.

Filtering and Field Selection

Always filter server-side using the

filter
parameter. Never fetch all records and filter client-side — this wastes API units and increases response time.

Always use the

fields
parameter to request only the columns you need. This reduces response size and improves performance. Example:
fields=id,name,email,updated_at
.

Error Handling

Always handle errors. All SDKs provide typed error classes:

HTTP CodeMeaningAction
400Bad RequestFix request parameters
401UnauthorizedCheck API key and consumer credentials
402Payment RequiredAPI limit reached — upgrade plan or wait
404Not FoundResource does not exist or wrong service ID
422UnprocessableValidation error — check required fields
429Rate LimitedBack off and retry (check
x-downstream-ratelimit-reset
header)
5xxServer ErrorRetry with exponential backoff

For downstream connector errors, inspect the

detail
and
downstream_errors
fields to get the original error from the third-party service.

Pass-Through for Connector-Specific Fields

When the unified model doesn't cover a connector-specific field, use

pass_through
in the request body:

{
  "first_name": "John",
  "pass_through": [
    {
      "service_id": "salesforce",
      "operation_id": "contactsAdd",
      "extend_object": { "custom_sf_field__c": "value" }
    }
  ]
}

Use custom field mapping in Vault to let end-users map their connector-specific fields without code changes.

Webhooks

Use Apideck webhooks for real-time notifications instead of polling. Apideck supports both native webhooks (from connectors that support them) and virtual webhooks (polling-based for connectors that don't).

Always verify webhook signatures using the

x-apideck-signature
header with HMAC-SHA256. Never process unverified webhook payloads.

Webhook events follow the pattern

{api}.{resource}.{action}
(e.g.,
crm.contact.created
,
accounting.invoice.updated
).

Logs

Apideck provides detailed API call logs for every request made through the platform. Logs are available both in the Apideck dashboard and via the API. Use logs to debug failed requests, inspect downstream responses, and monitor integration health.

Access logs programmatically via the Vault API:

vault.logs.list()
. Each log entry includes the HTTP method, URL, status code, request/response bodies, downstream service, and timestamps.

Use logs when:

  • Debugging why a specific API call failed — inspect the downstream request and response
  • Monitoring integration health — track error rates per connector
  • Auditing API usage — review which consumers and services are being called
  • Troubleshooting data mapping — compare the unified request with the downstream payload

Raw Mode

Append

raw=true
to any request to include the unmodified downstream response alongside the normalized data. Use this for debugging or when you need connector-specific fields not in the unified model.

Testing with Portman

Use Portman to generate API contract tests from Apideck's OpenAPI specs. Apideck publishes specs at

https://specs.apideck.com/{api-name}.yml
. See the
apideck-portman
skill for full configuration.

Developer Tools

API Explorer

The Apideck API Explorer lets you test any unified API endpoint directly in the browser without writing code. It accepts a JWT token for authentication and returns live responses.

The Explorer URL format supports pre-filled headers for quick access:

https://developers.apideck.com/api-explorer?id={api}&headers={encoded_json}

Where

headers
is a URL-encoded JSON object with:

  • Authorization
    :
    Bearer {JWT_TOKEN}
  • x-apideck-auth-type
    :
    JWT
  • x-apideck-app-id
    : your app ID
  • x-apideck-consumer-id
    : the consumer ID to test with

Recommend the API Explorer when users want to:

  • Quickly verify a connection works before writing integration code
  • Explore available fields and response shapes for a resource
  • Debug unexpected API responses by comparing with the Explorer output
  • Test filter and sort parameters interactively
  • Share pre-configured API calls with teammates via URL

OpenAPI Specs

Apideck publishes OpenAPI 3.x specs for all unified APIs at

https://specs.apideck.com/{api-name}.yml
. Use these for:

  • Generating typed clients with code generators
  • Contract testing with Portman
  • Importing into Postman, Insomnia, or other API tools
  • Understanding the complete request/response schema

Common Pitfalls

  • Do not assume all connectors support all operations. Check connector API coverage before building.
  • Do not mix
    serviceId
    values within a single workflow — stick to one connector per operation chain.
  • Do not ignore the
    row_version
    field on updates — use it for optimistic concurrency when supported.
  • Do not build retry logic on top of the SDK — all SDKs handle retries for transient errors automatically.
  • Do not store Apideck data permanently — Apideck has zero data retention. Use it as a pass-through layer.