Equals vs New API
Side-by-side comparison · Updated October 2026
| Description | Equals combines business workbooks, a managed data warehouse and AI-assisted analysis for revenue, sales and operational reporting. Its current workflow centers on building reusable calculations that teams can inspect, then using those workbooks as the basis for dashboards and answers to business questions. The platform shows how a reported figure connects to its formula, query and source records. It also supports scheduled Slack or email reporting, CRM updates and live charts embedded in tools such as Notion. Its managed warehouse offering uses Snowflake to synchronize and organize go-to-market data. AI agents can connect over MCP to work with the metrics in the team’s workbooks. Equals is a relevant KNIME alternative for teams whose main requirement is recurring business reporting in a spreadsheet-style environment. KNIME offers a broader visual workflow approach to data processing and model development. Evaluate source integrations, calculation definitions, permissions and deployment requirements before adopting either tool; an AI-generated answer still needs appropriate review. | 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. |
| Category | Data Analytics | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Pricing unavailable | Open Source |
| Starting Price | N/A | N/A |
| Use Cases |
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| Tags | business analyticsspreadsheetsreportingdashboardsrevenue operations | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Spreadsheet-style business workbooks | ||
| AI-assisted dashboards and analysis | ||
| Traceable formulas, queries and source records | ||
| Managed Snowflake warehouse for go-to-market data | ||
| Scheduled Slack and email reports | ||
| CRM updates from workbook data | ||
| Live charts and tables embedded in workspaces | ||
| MCP connections for AI agents | ||
| 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 | ||
| View Equals | View New API | |
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