AskEdith vs New API
Side-by-side comparison · Updated October 2026
| Description | Athenic AI offers enterprise-level artificial intelligence solutions that enable businesses to gain rapid insights from their data without the traditional delays associated with business intelligence tools. Users can ask questions and receive automatically generated SQL insights within seconds, greatly simplifying the data retrieval and analysis process. The AI tool supports a range of industries, such as e-commerce, marketing, and manufacturing, by providing industry-specific insights and empowering teams with actionable data. Testimonials highlight the ease of use and quick integration capabilities, making it accessible even for non-technical users. | 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 | Natural Language Processing | 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 | enterprise AIbusiness intelligencedata analysisSQL insightse-commerce | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Rapid insights from data within seconds | ||
| Automatically generated SQL | ||
| Follow-up question capability | ||
| Industry-specific insights | ||
| User-friendly interface | ||
| Easy data integration | ||
| Support for non-technical users | ||
| Empowers teams with actionable data | ||
| Faster decision-making | ||
| Simplifies data analysis | ||
| 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 AskEdith | View New API | |
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