API and event integration

Design reliable API ingestion with pagination, controlled retries, webhook verification and replay handling.

An API response or webhook delivery is a transport event, not proof that an analytical update is complete. Reliable integrations need explicit boundaries for pagination, validation, retries, identity and recovery.

This guide explains common API and event patterns that can be assessed during a Covorg partnership discussion. The examples describe general interface concepts. They are not published Covorg endpoints or a promise of support for a particular third party service.

Define the scope of an API read

Document the resource, selected fields, filters, pagination mechanism and observation boundary. If records can change during pagination, determine whether the API offers a stable cursor or snapshot semantics. Otherwise, the integration needs a strategy for overlapping reads and deduplication.

Keep a checkpoint that represents completed analytical processing, rather than merely the last successful HTTP response. A response may have arrived while its records failed validation or could not be persisted. Advancing too early can leave a gap that ordinary retries will not repair.

Apply retries according to operation semantics

HTTP defines idempotence in terms of the intended server effect of repeating a request. GET retrieves a representation, while automatically retrying a state changing request requires understanding its semantics. A network timeout does not establish whether the original operation took effect.

ConditionIntegration responseEvidence to retain
Temporary service failureUse bounded retry with increasing delayAttempt count and final disposition
Rate restrictionRespect documented provider guidanceResume time and backlog
Invalid credentialsStop and route an access issueSanitised error category
Invalid payloadIsolate the input for reviewSchema version and validation reason
Duplicate deliveryApply the defined identity ruleOriginal processing reference
Interface recovery needs stable identities and checkpoints that remain consistent with downstream processing.

Separate webhook acceptance from processing

Verify the delivery using the provider’s documented mechanism, check the event type and accept only the events required. Persist a recoverable work item before acknowledging successful acceptance, then perform longer processing asynchronously when the provider’s contract allows it.

GitHub’s webhook guidance covers secrets, HTTPS, prompt acknowledgement and missed delivery recovery. Its specific acknowledgement deadline is provider specific. For every integration, confirm the actual delivery deadline, retry policy, identity behaviour and available mechanism for recovering missed events.

Use an event envelope with stable identity

CloudEvents defines common context attributes including id, source, specversion and type. The combination of source and id identifies a distinct event, allowing a consumer to recognise repeat deliveries. An envelope makes context consistent; it does not itself guarantee ordering or successful processing.

The simplified example below represents an invented order event. Business payload validation remains separate from envelope validation, and the source must define what this event means and how corrections are represented.

Example
{
  "specversion": "1.0",
  "id": "evt00042",
  "source": "/example/orders",
  "type": "com.example.order.accepted",
  "data": {
    "orderId": "order0042",
    "quantity": 3
  }
}

Event processing sequence

  1. 01

    Verify

    Validate the sender, allowed event type and envelope.

  2. 02

    Persist

    Store a recoverable input and its stable identity.

  3. 03

    Process

    Apply business validation and a duplicate safe update rule.

  4. 04

    Reconcile

    Track failures and compare delivered events with expected source activity.

Design considerations

  • Confirm provider pagination, rate limits and missed delivery recovery before implementation.
  • Avoid storing credentials or sensitive payload values in diagnostic logs.
  • Define whether a repeated identity represents a retry or an invalid conflicting event.

Sources

The following sources explain the underlying technical patterns.

  1. IETFHTTP semantics, RFC 9110Opens in a new tab
  2. GitHubBest practices for using webhooksOpens in a new tab
  3. Cloud Native Computing FoundationCloudEvents specificationOpens in a new tab
  4. JSON SchemaUnderstanding object validationOpens in a new tab

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