checklike

Checklike is a software platform designed to evaluate the authenticity of user engagement, such as likes and reactions, on social and content platforms. The goal is to help platforms, advertisers, and researchers distinguish genuine interactions from automated or manipulated activity, thereby improving data quality and trust.

Core capabilities include signal ingestion from platform APIs, user-consent-friendly telemetry, and an anomaly-detection engine that assigns a credibility score to each engagement event. Checklike emphasizes privacy-preserving analysis, offering options for data minimization and on-device preprocessing. The scoring models combine historical engagement patterns, cross-platform signals, and known bot indicators to produce a measurable likelihood that an interaction is legitimate. All results are designed to be auditable with traceable provenance.

The architecture typically comprises a client SDK for data collection, a central scoring engine, and a developer API and analytics dashboard. Components may also include data purging controls, rate-limiting, and pluggable detectors for bot-like behavior, coordinated campaigns, or giveaway fraud.

Use cases include platform integrity checks for social networks, measurement for advertisers and researchers, and compliance workflows for data protection regulations. The project is commonly implemented as open-source software or as a service with configurable privacy policies and governance controls. Development and adoption continue in multiple ecosystems, with ongoing work on standard definitions for engagement quality and interoperability with existing analytics stacks.