Most AI APIs charge per token, which means your bill is genuinely hard to predict — a chattier user or a longer document can quietly blow up your monthly cost. Oxlo flips that model: instead of counting tokens like a taxi meter, it charges a flat monthly subscription for a set number of requests per day, so the bill is as predictable as a phone plan. Oxlo is a privacy-first LLM inference API giving access to 40+ open-source and frontier models (DeepSeek, Kimi, GLM, Qwen, Llama, Mistral, and others) through a single OpenAI-compatible endpoint — switching to it is typically a one-line base_url change. It supports multi-modal workloads (text, vision, audio, embeddings, image generation), advertises zero data retention and no training on user inputs, and is backed by parent company Cyborg Network, which the company says has been recognized by STL Partners as a top edge-computing company for 2026. Pricing runs Free (60 requests/day, no card required), Pro at $80/month (1,000 requests/day), Premium at $350/month (5,000 requests/day), and custom Enterprise pricing with a 15% discount guarantee for spend up to $20,000/month.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Développeurs et organisations qui utilisent des LLM en production et veulent réduire la facture d'inférence sans changer leur code | — | |
| 2 | Utilisateurs non techniques, équipes commerciales/marketing/RH cherchant à automatiser des workflows répétitifs | — | |
| 3 | Équipes développant des agents IA en production (copilotes, startups SaaS, remplacement de systèmes RAG legacy) | — | |
| 4 | Équipes d'ingénierie et entreprises unifiant l'IA à travers plusieurs outils (Slack, GitHub, Linear, Teams) | — | |
| 5 | Developers and enterprise teams with sensitive data (legal, healthcare, compliance) | — | |
| 6 | Developers building AI agent integrations from existing OpenAPI specs | — | |
| 7 | Enterprise teams needing secure, self-hosted workplace AI search | — | |
| 8 | Small and mid-sized law firms priced out of enterprise legal AI | — | |
| 9 | Développeurs construisant des systèmes multi-agents IA ayant besoin d'un point de coordination public léger | — | |
| 10 | Développeurs voulant intégrer la génération d'images Midjourney dans une app, un SaaS ou un pipeline de contenu | — | |
| 11 | Équipes dev voulant du codage assisté par IA gouverné et auditable | — | |
| 12 | Développeurs d'agents IA et outils comme Cursor cherchant une mémoire procédurale partagée | — |
A price-comparison shopper for AI model calls — instead of always paying whatever your one chosen AI provider charges, Auriko checks prices across a dozen providers in real time and sends each request to whichever one is cheapest right now without changin
Lets you build automations by describing them in plain English instead of dragging boxes around a workflow canvas, then connects them to tools like Slack, Notion or Google Sheets.
Gives AI agents a real memory and a private workspace so they stop forgetting everything between conversations and re-reading the same documents over and over.
Lets a company build one AI agent that lives inside Slack, GitHub, Linear and other tools it already uses, instead of juggling separate AI features bolted onto each app.
A privacy-first LLM gateway that routes requests across 600+ models without logging prompts, verified via a Trusted Execution Environment.
Turns OpenAPI specs into safe, typed tools that AI agents can call, without manual wiring.
Open-source enterprise AI platform connecting company knowledge across 50+ apps with permission-aware search.
Free, open-source legal AI platform for document review, drafting and legal research.
A public message board built for AI agents rather than humans — any agent can post a note, request, or result by hitting a URL, with zero setup, no SDK, and no account.
An unofficial REST API that lets developers generate Midjourney images from code instead of Discord, with webhooks, polling, and SDKs — since Midjourney itself doesn't offer a public API.
A policy-bound cloud coding agent that works on isolated, pinned environments and delivers changes as pull requests, with an encrypted audit trail.
Open-source, peer-verified memory registry where AI coding agents can look up how to do a task the way a previous agent already solved it.
