BrightBean provides an API-based intelligence layer for YouTube, designed to supply structured insights for AI agents, agencies, and SaaS tools that support YouTube channel growth and optimization. The platform addresses the lack of programmatic YouTube intelligence by offering endpoints that deliver actionable data beyond raw metrics, such as content gap analysis, packaging scoring, thumbnail intelligence, and hook classification.
The service exposes four main API endpoints. The content gap analysis endpoint identifies underserved topics within a specified niche, ranking them by opportunity score and suggesting title angles. The packaging scoring endpoint evaluates proposed titles and thumbnails, returning click-through rate percentile estimates and automatically detecting the relevant niche. The video hook scoring endpoint analyzes the opening seconds of a video, assigning archetypes and sub-scores for clarity, tension, pace, and offering specific suggestions to improve retention. The benchmarking endpoint compares a video’s engagement metrics against its niche, assesses match strength, and evaluates title fit with successful patterns in that niche.
BrightBean is intended for several audiences: developers building AI agents for content planning or video optimization, agencies managing multiple YouTube channels, and SaaS providers developing tools like scheduling platforms, analytics dashboards, or creator CRMs. The API is compatible with major agent frameworks and integrates via REST or MCP server, allowing use with clients such as Claude, OpenAI Agents SDK, LangChain, LangGraph, CrewAI, and standard HTTP clients.
Pricing is structured in tiers, starting with a free plan that includes 350 credits per month and access to all endpoints, suitable for testing and personal projects. Paid plans scale up in credits and support, with options for hobbyists, agencies, and high-volume SaaS tools. All plans include REST API and MCP server access, with no setup fees and the ability to cancel at any time. The tool is positioned as an API-first intelligence solution for YouTube, distinguishing itself from analytics dashboards and browser extensions by enabling direct programmatic access to optimization insights.
In the API design, testing & docs space, brightbean takes a focused approach. Enabling developers to programmatically score and analyze YouTube packaging elements for better performance. brightbean is an open-source project aimed at developers and data analysts working with YouTube content. The project is open source (AGPL-3.0). The product ships for the web and the command line.
Behind brightbean is JanSchm / social-intelligence-app, and the product first shipped in 2026. The project is developed in the open on GitHub with 1.9k stars and 425 commits in the last 90 days. Across PulseGate's embedding index, brightbean has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are youTube scoring, CTR analysis, and thumbnail evaluation. It exposes integrations via a public API.
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