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What is Vynaris?

Vynaris equips teams with powerful hosted models that are unfiltered and specifically tailored for sanctioned security evaluations, red teaming activities, and investigative research. These models, including Qwen3.8-27B, DeepSeek-V4-Flash-0731, and Qwen3.6-35B-A3B, are available through an OpenAI-compatible API, complete with publicly available token pricing and a commitment to not retaining prompts or outputs. Furthermore, Vynaris improves user experience by routing requests to a broader selection of models and providing detailed cost breakdowns for each request, enabling applications to effortlessly switch between models by simply modifying the base URL while also allowing users to keep track of the costs incurred for each individual request. This cutting-edge approach not only enhances adaptability but also fosters greater transparency in usage expenses for both developers and teams, thereby improving overall operational efficiency. By offering these capabilities, Vynaris ensures that teams can conduct their activities with confidence and clarity.

What is Contextwaise?

Contextwaise is a cutting-edge API and agent SDK tailored for teams focused on building retrieval-augmented generation (RAG) applications, AI agents, and various large language model (LLM) products. It assesses retrieved materials, including passages, web pages, chat logs, and tool outputs, in line with the specific requirements of the task at hand, delivering pertinent context while respecting a designated token limit prior to the model's engagement. Equipped with a flexible REST API, it supports requests in any programming language, while its TypeScript and Python SDKs enhance agent workflows and integrate effortlessly with Vercel AI SDK, Anthropic SDK, and OpenAI SDK. The output systematically preserves the sequence of submissions, generating reports that outline token modifications, potential cost savings, and rationales for excluded content. Contextwaise also includes features such as request logging, adjustable budgets, and quality assurance; its agent SDKs can disclose segments of excluded tool outputs for additional clarification. By employing this solution, engineering teams can significantly reduce unnecessary model inputs while maintaining their retrieval resources, prompts, and interactions with model providers, thus simplifying the development workflow. This optimization not only improves efficiency but also empowers teams to advance their AI-driven applications more effectively and creatively. Ultimately, Contextwaise serves as an essential tool for fostering innovation in the AI landscape.

Media

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Media

No images available

Integrations Supported

Integrations Supported

Anthropic
OpenAI
Vercel AI SDK

API Availability

API Availability

Has API

Pricing Information

$5 minimum credit top-up

Pricing Information

$15/month
Free includes 1M context tokens once. Pro is $15/month for 100M tokens/month, then $0.18 per started 1M tokens. Scale is $49/month for 350M tokens/month, then $0.15 per started 1M tokens. Enterprise has custom pricing under an annual contract and offers self-hosted deployment.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Vynaris

Date Founded

2025

Company Location

United Kingdom

Company Website

vynaris.com

Company Facts

Organization Name

GITMORE

Date Founded

2026

Company Location

United Kingdom

Company Website

contextwaise.com

Categories and Features

LLM API

Not specified

Categories and Features

LLM API

Not specified

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