Conversica vs New API
Side-by-side comparison · Updated October 2026
| Description | Conversica is a leader in the field of conversational AI, offering AI-powered two-way dialogue solutions that proactively drive opportunities across all stages of the customer lifecycle. Their digital assistants serve marketing, sales, and customer success teams, helping to engage leads, warm up accounts, and reduce churn. With self-learning AI, customizable conversation management, and support for dynamic context switching between languages and channels, Conversica provides comprehensive and scalable solutions for businesses across various industries, including automotive, telecom, and higher education. | 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 | Conversational AI | 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 | AI-poweredconversational AIdigital assistantsself-learning AIB2B | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| AI-powered two-way dialogue | ||
| Self-learning AI | ||
| Customizable conversation management | ||
| Dynamic context switching | ||
| Natural language processing | ||
| Omni-channel support | ||
| AI-powered chat | ||
| Extensive reports and analytics | ||
| Tech stack integration | ||
| Industry recognition | ||
| 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 Conversica | View New API | |
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