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Api and saas ingestion patterns

Skill vaquarkhan/data-engineering-agent-skills/skills/api-and-saas-ingestion-patterns

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Guides agents through API and SaaS ingestion workflows. Use when extracting data from REST, GraphQL, or SaaS platforms with pagination, rate limits, auth rotation, backfills, or unstable source contracts.

SKILL.md

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API And SaaS Ingestion Patterns

Overview

Use this skill when the source system is an external API or SaaS platform rather than a database or file drop. It helps agents design reliable extraction, pagination, throttling, auth handling, and backfill-safe ingestion contracts.

When to Use

  • extracting from REST or GraphQL APIs
  • ingesting SaaS platform data
  • handling pagination, cursors, or sync tokens
  • dealing with rate limits and source-side throttling
  • backfilling historical API data safely

Do not treat APIs like static tables. They change behavior, availability, and limits over time.

Workflow

  1. Define the source contract. Include:

    • endpoint or object name
    • auth method
    • extraction window
    • pagination style
    • rate limits
    • data freshness expectations

  2. Design for extraction resilience. Handle:

    • retries
    • backoff
    • token refresh
    • idempotent re-fetch behavior
    • partial page failure

  3. Make incremental behavior explicit. Decide whether the source supports:

    • updated timestamps
    • cursors
    • change tokens
    • full snapshots only

  4. Record raw source evidence where useful. API sources often need raw response retention for incident diagnosis.

  5. Validate contracts against source drift.

Common Rationalizations

RationalizationReality
"We can just loop through pages."Pagination bugs and retry gaps often cause silent data loss.
"The vendor API is stable enough."SaaS APIs change rate limits, fields, and semantics more often than teams expect.
"If a request fails, we can rerun later."Without windowing and idempotency rules, reruns can miss or duplicate data.

Red Flags

  • no rate-limit strategy exists
  • extraction windows depend on undocumented source behavior
  • retries ignore duplicate or partial-page risks
  • auth rotation and token expiry are not considered

Verification

  • The source contract covers pagination, limits, auth, and cadence
  • Extraction retries and failures are operationally safe
  • Incremental or snapshot behavior is explicit
  • Source drift and raw evidence handling are considered

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