{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/14"}],"enrichment":{"capability":"Python client library for Sift Science's fraud detection and abuse prevention APIs, providing methods to track events, request risk scores, label users, and manage verification workflows.","skillfed_tags":["fraud-detection","api-client","sift-science"],"use_cases":["Track e-commerce transactions and user events to Sift for real-time fraud scoring and abuse detection.","Retrieve risk scores for users or orders to make accept/reject decisions in payment flows.","Label users as fraudulent or legitimate based on manual review or chargeback events.","Implement OTP-based verification workflows for high-risk login or transaction events.","Query workflow execution status and latest decisions for users, orders, sessions, or content."],"what_it_does":"Sift is a Python client for Sift Science's fraud detection platform. It wraps the Events, Labels, Score, and Decisions APIs, allowing you to send transaction and user activity events to Sift for real-time risk assessment, retrieve fraud scores and percentiles, label users as fraudulent or legitimate, and manage verification workflows including OTP generation and validation.\n\nThe library is designed for integration into payment, marketplace, and authentication systems where you need to detect and prevent fraud. It handles API communication, response parsing, and error handling through a simple client interface. No external runtime dependencies are required beyond Python itself.","worth_installing":"Yes, if you use Sift Science for fraud detection. The library is stable and supports current Python versions, but high install friction and aging maintenance (466 days since last release) suggest checking whether Sift has released a newer version or recommends an alternative client before adopting. No known vulnerabilities."},"id":"sift","links":{"html":"https://skillfed.io/packages/sift","md":"https://skillfed.io/packages/sift.md","pypi":"https://pypi.org/project/sift/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-05-05","license_spdx":null,"license_treatment":"permissive","name":"Sift","python_support":"supports_current","summary":"Python bindings for Sift Science's API"},"popularity":{"monthly_downloads":295262,"position":7928,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"6.0.0"}