2026年03月30日〜2026年04月05日

説明なし

Stripeのスタンドアロン手数料は、取引後36時間以内に適用される手数料体系で、インライン手数料とは資金フローと適用タイミングが異なります。取引金額全額が先に入金され、後から手数料が引き落とされるため、会計処理や銀行勘定調整において注意が必要です。Feesレポートを活用することで取引ごとの手数料を正確に追跡でき、カスタム料金体系や手数料クレジット特典を活用したい事業者に適しています。

Stripe手数料クレジットは、請求時に自動適用される先入れ先出し方式のコスト相殺の仕組みです。帰属日と請求日の違いによる適用タイミング、クレジットステータスの種類、対象手数料の範囲を理解することが重要です。混合カード決済や現地決済手段には請求方法の変更が必要な場合があり、ダッシュボードでの定期的な残高確認と有効期限管理がクレジットを最大限活用するポイントとなります。

説明なし

Managed Paymentsと決済用リンクを組み合わせることで、コード不要でデジタル商品の決済システムを構築できます。Stripeが間接税務コンプライアンス、不正利用対策、不審請求管理、顧客サポートを代行。ダッシュボードまたはAPIで簡単に作成でき、メール、SNS、ウェブサイトなど複数チャネルで共有可能。デジタル商品のグローバル販売における運用負担を大幅に軽減する実践的なソリューションを詳しく解説します。

説明なし

Mastercardが2026年6月2日から導入するTransaction Link ID（TLID）は、各取引に付与される22文字の一意識別子です。オーソリゼーションからクリアリングまでの取引ライフサイクル全体を追跡し、既存のNetwork Transaction IDと類似しながらもより精密な取引管理を実現します。Stripe APIを通じて取得・活用でき、取引追跡、不正防止、返金処理の効率化に貢献します。本記事では技術仕様、実装方法、ユースケースを詳しく解説します。

説明なし

Learn how to collect recurring payments through Pix Automático

Stripe SigmaとData Pipelineにおけるデータ鮮度について解説します。Sigmaはほとんどの取引データを1日以内、APIアクティビティを約3時間後にクエリ可能にします。data_load_timeパラメータでデータの最終処理日時を確認でき、Sigma独自のレポートデータなどAPI経由では取得できない情報も利用可能です。Data Pipelineとはデータ鮮度の仕様が異なるため、用途に応じた使い分けが重要です。

Stripe Data Pipelineにおけるデータ鮮度の概念を解説します。ケイデンス（バッチ頻度）、配信時間、P50フレッシュネス指標の意味と、3時間ケイデンスで6時間の鮮度となる具体例を紹介。Stripeダッシュボードでのデータ到着時刻とデータ基準時刻の確認方法、データサイズによる配信時間の変動要因について、データ分析担当者向けに分かりやすく説明します。

本人確認情報と認証情報を収集して顧客の決済手段を有効化し、その情報を再利用して、それらの決済手段を Global Payouts の入金手段として有効化できます。

制限付きAPIキー（RAK）は、Stripeアカウントのセキュリティを強化する重要な機能です。通常のシークレットキーとは異なり、必要最小限の権限のみを付与することで、キー漏洩時の被害を抑制できます。本記事では、RAKの作成方法、権限設定のベストプラクティス、エラーハンドリング、そしてセキュリティ推奨事項まで、中級開発者向けに詳しく解説します。

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