InSummary vs New API

Side-by-side comparison · Updated October 2026

 InSummaryInSummaryNew APINew API
DescriptionInSummary is a cutting-edge platform designed to streamline your work by automating AI-powered performance reviews and status reports. By integrating seamlessly with your calendar, InSummary drafts self-evaluation responses, optimizes peer review selections, and generates impactful testimonials. The platform also creates automated weekly summaries that provide insights into your work streams, helping you understand how to allocate your time effectively. With its customizable and easily shareable reports, InSummary saves you significant time and helps you focus on more rewarding tasks.New API is a self-hosted AI gateway and model-management project maintained in the QuantumNous repository. It brings provider channels, access tokens, model restrictions, usage statistics and cost accounting into one interface. Teams supply their own authorized model-provider access and operate the gateway in their chosen environment. The gateway supports several API formats, including OpenAI-compatible requests, Claude Messages and Google Gemini. Compatibility has boundaries: the README marks Gemini-to-OpenAI conversion as text-only without function calling, and OpenAI-compatible to Responses conversion as in development. Test the exact endpoints, streaming behavior and tool calls your application uses before switching traffic. Routing features include weighted channel selection, automatic retry after failures and user-level model rate limits. The dashboard supports request-based, usage-based and cache-hit cost accounting, with token grouping and model-access controls. These controls can help organize usage, but retries and a common API format do not guarantee uninterrupted service or identical behavior across providers. The current repository license is AGPLv3. Docker Compose is the recommended quick-start path in the README, which also documents Docker commands with SQLite or MySQL. Running the software still involves infrastructure, operations and upstream model charges. Review the current license, secure your deployment and validate accounting against provider bills. Compare LiteLLM if you also want a Python SDK or a documented gateway for MCP servers and agents.
CategoryAutomationDeveloper Tools
RatingNo reviewsNo reviews
PricingFreeOpen Source
Starting PriceFreeN/A
Plans
  • Free Plan — Free
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Use Cases
  • Managers
  • Employees
  • HR Professionals
  • Team Leads
  • Development Teams
  • SaaS Companies
  • DevOps Engineers
  • Finance Teams
Tags
AIperformance reviewsstatus reportscalendar integrationself-evaluation
AI gatewayLLM routingmodel managementrate limitingusage accounting
Features
Automated Self-Evaluations
Optimized Peer Selection
Impactful Testimonials
Automated Weekly Summaries
Intelligently Categorized & Contextualized Reports
Customizable & Easily Shareable Reports
Seamless Calendar Integration
90% Time Savings
Free Sign-Up
User-Friendly Interface
Self-hosted AI gateway and model management
Provider channels, token groups and model restrictions
OpenAI-compatible, Claude Messages and Gemini format support
Documented limits on protocol conversion
Weighted channel selection and failure retries
User-level model rate limiting
Request, usage and cache-hit cost accounting
Docker Compose deployment documentation
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