Usage Panda Alternatives

FinOpsly is an AI Cost Governance platform. It brings AI, cloud, data platform and SaaS spend into one attribution, policy and control layer, so enterprises can price a workload before building it, attribute every dollar to an owner, hold spend inside budget under policy, and prove what landed in run-rate. Your AI invoice is not what your AI costs. One request draws on model tokens, retrieval, warehouse queries, GPU capacity and storage, and only the first shows up on the AI bill. FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle. Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks. PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage. EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars. ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute. PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant. proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client. Built for CIOs, CTOs and platform leaders accountable for technology spend, FinOps and finance teams running chargeback, and engineering teams who need cost signal before they decide

Aggregate data from all observability, monitoring, change and topology tools. BigPanda’s Open Box Machine Learning will correlate the data into a small number of actionable insights so incidents are detected in real-time, as they form, before they escalate into outages. Accelerate incident and outage resolution by automatically identifying the probable root cause of problems. BigPanda identifies both root cause changes and infrastructure-related root causes. Resolve incidents and outages faster. BigPanda automates and streamlines the incident response lifecycle across incident triage, ticketing, notifications, and war room creation. Accelerate remediation by integrating BigPanda with enterprise runbook automation tools. Applications and cloud services are the lifeblood of every company. When there’s an outage, everyone is impacted. BigPanda cements AIOps market leadership with $190M in funding, $1.2B valuation.

GPT-Image-2.5 Flare is a hosted image-generation model available through the OpenAI API. It accepts text prompts and image inputs and produces image outputs. Developers can call it through the Images API to generate images or edit supplied images, or use it as an image-generation tool within Responses API workflows that support conversations and multiple steps. Requests can set image quality to low, medium, high, xhigh, max, or auto, and configure output size, format, and compression. OpenAI positions Flare for fast, everyday image generation, while its GPT-Image-2.5 Sunburst model is intended for workflows prioritizing precise editing. The model is designed for developers and organizations adding image creation or editing to their own applications. Access requires API credentials, and usage is billed by tokens, with rates depending on text or image input, image output, and standard or batch processing.

Track costs, usage, and latency for GPT applications with one line of code. Trusted by leading companies building with OpenAI. We will support Anthropic, Cohere, Google AI, and more coming soon. Stay on top of your costs, usage, and latency. Integrate models like GPT-4 with Helicone to track API requests and visualize results. Get an overview of your application with an in-built dashboard, tailor made for generative AI applications. View all of your requests in one place. Filter by time, users, and custom properties. Track spending on each model, user, or conversation. Use this data to optimize your API usage and reduce costs. Cache requests to save on latency and money, proactively track errors in your application, handle rate limits and reliability concerns with Helicone.

Keep track of your OpenAI usage and costs with AI Spend and never be surprised again. AI Spend offers user-friendly cost tracking with a dashboard and notifications that passively monitor your usage and costs. The analytics and charts provide insights that help you optimize your OpenAI usage and avoid billing surprises. Get daily, weekly, and monthly notifications with your spending. Discover which models and how many tokens you're using. Get clear insights into how much OpenAI is costing you.

AICosts.ai is a unified AI cost management platform that brings billing and usage data from more than 50 providers into one dashboard. Teams upload provider invoices and exports in PDF, CSV, or JSON format, or push usage events through the developer API, and the platform parses them into a normalized structure without requiring a proxy or changes to production requests. It supports services including OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Vertex AI, Cohere, Groq, Hugging Face, Pinecone, RunwayML, Make, Zapier, and n8n. Daily views break spending down by platform, model, and billed unit, including tokens, operations, characters, and other provider-specific measures, helping users compare services and see where each bill comes from. Budgets can cover the full AI stack or a specific platform or feature, with email alerts when rolling 30-day spending crosses configured thresholds.

AI Gateway HQ is a hosted AI gateway and control plane for organizations connecting applications, coding agents, and automations to model providers. It provides OpenAI- and Anthropic-compatible API endpoints and routes requests through centrally managed provider credentials, model aliases, workload keys, and fallback rules. Administrators can apply identity and access policies, monitor request metadata, set organization and workload budgets, rate and concurrency limits, and review routing, usage, cost, and policy evidence. The service supports bring-your-own provider API credentials and a managed Amazon Bedrock option using prepaid credit. A browser-based console and API support configuration and governed requests; documented client setups include Codex CLI, Claude Code, and OpenCode. Teams use it to coordinate AI access, control model usage and spending, and review operational evidence across applications and environments.

​Liona enables organizations to securely share AI provider keys, such as those from OpenAI, Anthropic, Grok, and Gemini, with users and employees without compromising security. It allows direct user connections to AI providers while maintaining control over security, billing, and usage limits. Liona offers two deployment options: for developers, it provides powerful API integrations without backend overhead, facilitating AI-powered feature development with minimal effort; for employees and teams, it delivers enterprise-grade AI governance with centralized control and visibility. It includes a dashboard for real-time usage monitoring, granular access controls, spending limits, and user management. Additionally, Liona integrates with various tools and frameworks to streamline AI workflow integration. ​

DapperGPT includes basic features that are available for free. However, users need to have a valid OpenAI API Key to access the service. OpenAI API Key usage costs are paid directly to OpenAI. DapperGPT also offers additional premium features, which can be unlocked through a one-time purchase or yearly plan if you are a team. There are no restrictions on the number of chats you can have with DapperGPT. The only limitations are your OpenAI API key's limit and your browser storage capacity. DapperGPT provides additional features, such as customization, pinning favorites, a smart search like spotlight, voice-to-text, text-to-voice, AI-powered note, and a Chrome Extension for autofill capabilities on popular sites.

Get clarity on your OpenAI API usage. Empower your team with insightful billing data visualizations and reporting tools. Complete overview of your API usage. API keys are stored securely in your browser.

Edgee is an AI gateway that sits between your application and large language model providers, acting as an edge intelligence layer that compresses prompts before they reach the model to reduce token usage, lower costs, and improve latency without changing your existing code. Applications call Edgee through a single OpenAI-compatible API, and Edgee applies edge-level policies such as intelligent token compression, routing, privacy controls, retries, caching, and cost governance before forwarding requests to the selected provider, including OpenAI, Anthropic, Gemini, xAI, and Mistral. Its token compression engine removes redundant input tokens while preserving semantic intent and context, achieving up to 50% input token reduction, which is especially valuable for long contexts, RAG pipelines, and multi-turn agents. Edgee enables tagging requests with custom metadata to track usage and spending by feature, team, project, or environment, and provides cost alerts when spending spikes.

Tikway is a hosted AI model gateway and API for developers building applications that use multiple model providers. It provides a unified API key and supports request formats compatible with OpenAI, Anthropic, and Gemini protocols, allowing clients to call listed models through Tikway. Developers can browse the model catalog to compare model pricing, capabilities, and supported parameters, and use online documentation for setup and request examples. The service uses usage-based billing, with charges varying by the selected model and usage. Tikway is intended for independent developers, makers, and teams integrating generative AI into applications. Model availability, capabilities, and supported parameters vary by model; developers can consult the catalog before choosing an endpoint.

LLMeter is an open source AI cost monitoring platform that gives developers one dashboard for tracking spend across OpenAI, Anthropic, DeepSeek, OpenRouter, Mistral, and Azure OpenAI. Teams connect read-only provider keys and can see real costs, daily trends, model-level breakdowns, and optimization opportunities in about 30 seconds without installing an SDK, changing endpoints, or routing production traffic through a proxy. Because requests continue going directly to the model provider, LLMeter adds no latency, does not become a point of failure, and never sees prompts or completions. Budget alerts warn teams before spending crosses daily or monthly limits, while anomaly detection identifies unexpected usage spikes before they grow. The dashboard shows which providers, models, endpoints, customers, and environments are driving costs, and OpenRouter support extends visibility across more than 500 models.

Boost your productivity with 50+ pre-built templates and custom chatbots for your needs. Over 100+ businesses growing with WritePanda. 50+ pre-built templates for various industries and functions. You no longer have to remember what prompt to give to get the optimized output. Create custom chatbots for your own needs. Buy and sell custom chatbots through the WritePanda marketplace. The first AI bot marketplace. Embed chatbots into your own websites. Fast and reliable OpenAI's GPT-based chatbot. Web, mobile, Mac, and Chrome extension accessibility. Use pre-built templates, submit information to WritePanda, and let us craft your copy with our expertise, you'll love it! Refine output through chat! Buy and sell bots through the world's first bot marketplace. If you are a prompt engineer, this opens up a world of possibilities for you to make additional income. As a buyer, you can easily find the best bots for your specific needs.

ML Junction gives developers a consistent API for working with multiple AI model providers. It supports OpenAI and Anthropic SDK compatibility, capability-aware routing, retries and fallback, and request-level cost and privacy controls. Its per-request receipts explain which route was selected, the alternatives considered, the policies enforced and the final cost. ML Junction also supports model evaluations, agent observability, and a native LangChain integration. Pricing is usage-based on prepaid credits: provider rates at cost plus one routing fee, or bring your own provider keys. It is designed for teams building AI applications.

OpenCheese AI is a hosted AI gateway and API for developers who want to connect applications and coding tools to multiple AI models through a unified service. It provides OpenAI-compatible endpoints and an Anthropic Messages-compatible interface, with model selection, API-key management, usage and balance tracking, and access to models from providers including OpenAI, Anthropic, Google, and DeepSeek. Developers can configure supported coding clients and applications to send requests through OpenCheese rather than managing separate provider credentials for each connection. The service offers both credit-based usage and time-limited plans with included balances; available models, rates, and free-model options depend on the selected model and plan. It is intended for developers evaluating or building text, coding, and image-generation workflows with hosted AI models.

Router is an LLM gateway built to reduce inference costs by matching each request to the lowest-cost model that still meets performance needs. It provides one endpoint and one API key for accessing multiple closed and open-source AI models from providers such as OpenAI, Anthropic, Grok, Fireworks, and others, helping developers avoid wiring applications to providers one at a time. Requests go through Router first, where usage, model, provider, and cost can be tracked before eligible workloads are routed to a more efficient option when quality will not be affected. Router Strategies let developers define cost and performance priorities for different types of requests or use benchmarked defaults based on real production workloads. It responds to live latency, availability, failures, and rate limits, and eligible requests can be moved to another available model when a provider cannot serve them.

gpt-oss-20b is a 20-billion-parameter, text-only reasoning model released under the Apache 2.0 license and governed by OpenAI’s gpt-oss usage policy, built to enable seamless integration into custom AI workflows via the Responses API without reliance on proprietary infrastructure. Trained for robust instruction following, it supports adjustable reasoning effort, full chain-of-thought outputs, and native tool use (including web search and Python execution), producing structured, explainable answers. Developers must implement their own deployment safeguards, such as input filtering, output monitoring, and usage policies, to match the system-level protections of hosted offerings and mitigate risks from malicious or unintended behaviors. Its open-weight design makes it ideal for on-premises or edge deployments where control, customization, and transparency are paramount.

Grokified is a cloud-based, OpenAI-compatible API gateway for accessing Grok models through a single API endpoint. Developers and AI engineers can use it for chat and coding-agent workloads, and for supported image, video, voice, and tool-based requests. It provides API keys, model selection, streaming, function calling, usage and cost tracking, and prepaid balance management. OpenAI SDK clients and compatible editors and coding agents can connect by configuring the Grokified base URL and credentials; a companion CLI can configure supported agents. Requests draw down prepaid credits, with published usage rates discounted from standard prices.

PandaVPN is a quality and cross-platform VPN application trusted by 40 million users worldwide. By offering 0-log policy, OpenVPN protocol, 256-bit ECC Encryption, random digital accounts, bitcoin payment, built-in ad blocker, etc., PandaVPN proves itself to be secure, private, and easy to use on mainstream devices! Safeguarding the online privacy is the top concern of PandaVPN. With PandaVPN, no matter you are working with safe networks or less secure public Wifi hotspots, you are enabled to hide your real IP address and stay anonymous online, keeping your essential and sensitive personal data untraceable from third-parties like ISPs, governments, advertisers and even hackers. It provides over 3000 accelerated servers in 80 nations and 170+ locations all over the world while has no traffic limit at all. Whether you are circummenting geo-block to browse the web free or access some other video, audio, game and so similar resources, you will enjoy a smooth connection speed.

Cloptima is an AI and cloud FinOps platform that brings LLM spend governance, multicloud cost intelligence, Kubernetes optimization, query analysis, and engineering cost controls into one operating model. Its AI gateway lets teams use their own OpenAI, Anthropic, Gemini, Vertex AI, and Amazon Bedrock credentials behind encrypted controls, then apply virtual keys, model policies, token limits, budgets, guardrails, and attribution before calls reach providers. Spend analytics break down usage by provider, model, team, application, environment, user, agent session, tool, workflow, and dimensions, while agent controls track retries, loops, tool calls, and runaway-cost risk. Exact and semantic response caching can reduce repeated usage, and intelligent routing can shift eligible traffic to cheaper or faster models with canary rollout and rollback if quality, latency, or errors regress.

SheetGPT is the easiest way to integrate OpenAI's GPT natural language processing directly within your Google Sheets™. All users receive their first 50,000 tokens of GPT usage for free. This is roughly equivalent to two dozen copies of the US Declaration of Independence worth of text. Simply install the SheetGPT add-on from the Google Marketplace to start using GPT in your Google Sheets. When you reach the free trial usage limit, you can come here to upgrade. You can always contact Support if you have questions about our subscriptions or billing issues.

LLMetrics is LLM cost tracking software for teams shipping AI products, bringing model spend, token usage, feature attribution, and usage alerts into one live dashboard. It supports more than 100 models across OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Together AI, Groq, and other providers, with pricing data synchronized daily. Teams tag each model call with a feature name, provider, model, input tokens, and output tokens, allowing them to see exactly whether a chatbot, summarizer, search feature, lesson generator, or other workflow is driving spend. Real-time updates and daily trend charts reveal how costs change after releases, prompt edits, traffic growth, or model swaps. Spend thresholds and spike-detection rules can alert teams through email or Slack when usage patterns look wrong, helping them catch runaway loops and unexpected cost increases before the provider invoice arrives.

GeoPandas is an open-source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geopandas further depends on fiona for file access and matplotlib for plotting. The goal of GeoPandas is to make working with geospatial data in python easier. It combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple geometries to shapely. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS. GeoPandas is a community-led project written, used and supported by a wide range of people from all around of world of a large variety of backgrounds. GeoPandas will always be 100% open source software, free for all to use and released under the liberal terms of the BSD-3-Clause license.

TokenRa is a hosted AI API gateway for developers who want to access text, reasoning, image, video, and audio models through one account and API key. Compatible text models support OpenAI-style requests, while image and video models use dedicated endpoints. Developers can browse model guides, connect supported SDKs and tools, and monitor usage and billing in a console. The catalog includes models from providers such as DeepSeek, Moonshot AI, Zhipu AI, Alibaba Qwen, MiniMax, ByteDance, and OpenAI. Billing is usage-based with no platform subscription fee; rates and billing units vary by model and channel. A $10 minimum top-up is required, and some models have free rates. TokenRa is designed for developers and teams building applications that need a shared interface for evaluating or calling multiple AI models.

Crazyrouter is an AI API gateway that gives developers access to 300+ AI models through a single API key. Compatible with the OpenAI SDK format, it supports GPT-5, Claude, Gemini, DeepSeek, Llama, Mistral, and hundreds more — all at prices up to 50% lower than going direct to providers Key Features: • One API key for 300+ models (OpenAI, Anthropic, Google, Meta, etc.) • OpenAI-compatible API format — zero code changes to switch • Pay-as-you-go pricing with no monthly subscriptions • Built-in load balancing, failover, and rate limit management • Real-time usage dashboard and token tracking • Support for text, image, video, audio, and embedding models • Enterprise-grade uptime with multi-region infrastructure Ideal for developers, startups, and teams who want to experiment with multiple AI models without managing separate API keys and billing accounts.

Your AI-Powered Slack Assistant. Artificial intelligence based on ChatGPT, which will help you with any question without leaving the workspace. With GptPanda you can: 1. Ask anything you want: GptPanda will provide you with a detailed answer 2. Make an unlimited number of requests 3. Choose any language: GptPanda is adapted to any language in which communication is conducted in your workspace 4. Chat privately or in #channel: You can pose a question to GptPanda in public channels by using the /call_panda command or directly in the Messages section.

Launch production-ready apps with the LMOps stack for monitoring, model management, and more. Replace your OpenAI or other provider APIs with the Portkey endpoint. Manage prompts, engines, parameters, and versions in Portkey. Switch, test, and upgrade models with confidence! View your app performance & user level aggregate metics to optimise usage and API costs Keep your user data secure from attacks and inadvertent exposure. Get proactive alerts when things go bad. A/B test your models in the real world and deploy the best performers. We built apps on top of LLM APIs for the past 2 and a half years and realised that while building a PoC took a weekend, taking it to production & managing it was a pain! We're building Portkey to help you succeed in deploying large language models APIs in your applications. Regardless of you trying Portkey, we're always happy to help!

Waterfall is a credit infrastructure for platforms building on large language models, designed to turn AI usage into a business model without requiring teams to build their own billing stack. It gives each user, agent, or team a stablecoin-backed credit wallet, then meters every model call by provider, model, token count, and cost. Requests can be routed through the Waterfall Gateway or integrated through TypeScript and Python SDKs, with usage attributed to the correct wallet in real time. Each API call settles atomically against the wallet as it happens, so credits decrease, and revenue is recognized per request instead of through delayed invoices and manual reconciliation. Waterfall supports more than 300 models across providers such as OpenAI, Anthropic, DeepSeek, and xAI, allowing products to use multiple AI services while maintaining one accounting layer.

OpenAI Presence is an enterprise product for deploying trusted AI agents across customer-facing and internal workflows. The platform helps organizations build voice and chat agents that can answer questions, resolve issues, use company systems, take approved actions, and escalate to human teams when needed. Presence combines model reasoning with policies, guardrails, standard operating procedures, simulations, evaluations, and escalation rules. Each deployment starts with a specific workflow, such as billing support, insurance claims, customer service, outbound sales, or employee IT requests. Codex-powered improvement workflows help teams review production sessions, identify gaps, test proposed updates, and approve controlled changes after launch. Built for eligible enterprise customers, OpenAI Presence helps companies put AI agents into production with reliability, governance, and deployment support from OpenAI teams and partners.

FastRouter is a unified API gateway that enables AI applications to access many large language, image, and audio models (like GPT-5, Claude 4 Opus, Gemini 2.5 Pro, Grok 4, etc.) through a single OpenAI-compatible endpoint. It features automatic routing, which dynamically picks the optimal model per request based on factors like cost, latency, and output quality. It supports massive scale (no imposed QPS limits) and ensures high availability via instant failover across model providers. FastRouter also includes cost control and governance tools to set budgets, rate limits, and model permissions per API key or project, and it delivers real-time analytics on token usage, request counts, and spending trends. The integration process is minimal; you simply swap your OpenAI base URL to FastRouter’s endpoint and configure preferences in the dashboard; the routing, optimization, and failover functions then run transparently.

Run BiOS is serverless, OpenAI-compatible inference. Point the OpenAI SDK at the Run BiOS endpoint and keep your code. Six model families — Claude, DeepSeek, GLM, Kimi, MiniMax and Qwen — plus bios-adaptive, which routes each request for quality, speed and budget against a published price ceiling. Prompts and responses live in memory and are discarded when the request completes: no request logs, no content store, no archive. Fine-tuning and dedicated GPU endpoints run from the same account if you later want weights you own, billed per second of GPU time. Pricing is usage-based from a pre-paid balance, published per million tokens, and an endpoint pauses rather than running up a debt if the balance reaches zero.

Traccia is an OpenTelemetry-native observability, governance, and policy enforcement platform for production AI agents. It gives engineering teams complete visibility into every LLM call, tool invocation, decision, token, and dollar spent across frameworks like LangChain, CrewAI, OpenAI Agents SDK, AutoGen, and LlamaIndex. Beyond tracing, Traccia helps organizations govern AI systems with runtime policies that can detect and block unsafe behavior, runaway costs, restricted model usage, and PII exposure before incidents reach production. Accurate cost attribution, agent health monitoring, a unified agent registry, and EU AI Act evidence generation make it suitable for enterprise deployments. With a lightweight open-source SDK and managed platform, Traccia enables teams to build, debug, monitor, and govern AI agents at scale without vendor lock-in, using standard OpenTelemetry instrumentation.

Sufy MaaS is a hosted API service for accessing large language and generative media models from one platform. It offers model access to developers and businesses building applications that use text, image, and video models. Customers make requests through an API and can use existing OpenAI- or Anthropic-compatible SDK code by changing the endpoint and API key. Requests are billed by model and usage, with token-based rates for text models and separate billing units for some image and video services. Sufy provides an evaluation allowance of 100 million text-model tokens for 30 days per company. The service supports model experimentation, application integration, and production inference workflows; rates, availability, and capabilities vary by model.

GitAuto is an AI-powered coding agent that integrates with GitHub (and optional Jira) to read backlog tickets or issues, analyze your repository’s file tree and code, then autonomously generate and review pull requests, typically within three minutes per ticket. It can handle bug fixes, feature requests, and test coverage improvements. You trigger it via issue labels or dashboard selections, it writes code or unit tests, opens a PR, runs GitHub Actions, and automatically fixes failing tests until they pass. GitAuto supports ten programming languages (e.g., Python, Go, Rust, Java), is free for basic usage, and offers paid tiers for higher PR volumes and enterprise features. It follows a zero data‑retention policy; your code is processed via OpenAI but not stored. Designed to accelerate delivery by enabling teams to clear technical debt and backlogs without extensive engineering resources, GitAuto acts like an AI backend engineer that drafts, tests, and iterates.

ModelLane is an AI inference gateway and routing control plane for developers and organizations using multiple language-model providers. It offers an OpenAI-compatible API for sending requests to hosted, private, or self-hosted models. Teams can define routing policies (“Lanes”) by cost, latency, availability, data retention, and region, with provider failover, retries, credential isolation, and route-level usage and spend visibility. Documented connectors include OpenAI, Anthropic, Google, Mistral, Groq, and DeepSeek, plus local serving tools such as Ollama and vLLM. An MCP interface exposes model-layer operations. Use cases include consolidating provider APIs, choosing routes for different workloads, maintaining continuity when a provider is unavailable, and monitoring inference activity. Deployment options include hosted service, dedicated deployment, and a customer VPC.

AI Cost Board is an AI API observability and cost control platform that brings costs, requests, tokens, latency, errors, and usage from multiple model providers into one real-time dashboard. Applications route LLM traffic through a single proxy endpoint, while requests are forwarded to the connected provider and logged with model, token, status, timing, costs, input, output, and raw JSON context. In most cases, teams only replace the provider base URL and use an AI Cost Board project key, keeping the original request structure intact. It supports providers including OpenAI, Anthropic, and Google Gemini, with a consistent setup that standardizes usage data across integrations. Cost analytics break spending down by project, provider, model, and timeframe, showing trends, cost per request, success rates, and operational performance. Searchable request logs help developers inspect payloads, troubleshoot failures, compare models, and investigate slow or expensive calls.

Ultramarine 1 Flash is a hosted large language model offered through an API for developers and organizations building AI-assisted professional workflows. It is designed for knowledge-work tasks across areas such as finance, law, consulting, and operations, including research, analysis, and preparation of document-based deliverables. Applications can send prompts and receive streamed or standard responses, use reasoning controls and custom tool calls, and request structured output. The API accepts image inputs and supports OpenAI-compatible chat-completion and Responses formats, as well as Anthropic Messages-compatible requests. Developers can connect through the OpenAI or Anthropic SDKs, Claude Agent SDK, or Claude Code, and can use the model with Paper Instruments' Word, PowerPoint, and Excel libraries. Usage is billed by tokens against a prepaid balance.

TypingMind is free to use with some basic features. You will need to have a working OpenAI API Key in order to use the app. When you use the API Key, you pay directly to OpenAI for the number of credits/tokens you use. TypingMind.com has premium features that can be unlocked with a one-time purchase. This is a static web app, it doesn't have any backend server. When you enter your API key, it will be stored locally and securely on your browser. All API requests are sent directly from your browser to OpenAI server to interact with ChatGPT. Think of this as an HTTP client for your ChatGPT API with a lot of convenience features. You can have as many chats as you want. The only limit is your OpenAI API key's limit and your browser storage limit (technical term: Local Storage). Web browser gives you some limited data storage, the actual limit is different for each browser. Typically, you can save thousands of chat conversations without problems, but that's not guaranteed.

Application Control provides the industry’s strongest application security and identity control to organizations of all sizes. Integrated into the Check Point Next Generation Firewalls (NGFW), Application Control enables businesses to easily create granular policies based on users or groups, to identify, block or limit the usage of applications and widgets. Applications are classified into categories, based on diverse criteria such as application type, security risk level, resource usage, productivity implications, and more. Granular control of social networks, applications, and application features, identify, allow, block, or limit the usage. Leverages the world’s largest application library, grouping apps into categories to simplify policy creation and protect against threats and malware. Integrated into Next Generation Firewalls enables consolidation of security controls decreasing costs. Only the right users and devices can access your protected assets.

GPT-Live-1.1 is OpenAI’s full-duplex voice model for real-time conversational use in ChatGPT Voice. It listens and speaks continuously, so it can follow pauses, interruptions, and shifts in speaking pace rather than waiting for a clearly completed turn. In ChatGPT, Live conversations can combine voice with text and images, and may use web search, memory, and connected apps according to the account, plan, and workspace settings. Access is provided through ChatGPT experiences on the web and supported mobile apps, with availability and usage limits determined by plan. The model is intended for individuals and organizations that want spoken assistance for questions, brainstorming, information lookup, and everyday tasks. GPT-Live-1.1 succeeds GPT-Live-1 in OpenAI’s voice-model family.

GenOS deploys, governs, and improves AI across enterprise production workflows. Three surfaces on one governed platform: Assistant (internal AI workspace for employees), Service (customer-facing AI on any channel), Supervisor (document processing and workflow automation with human-in-the-loop). Platform governance: SSO, granular RBAC at the agent level, full audit trails on every action, usage analytics, automated evaluation pipelines. Multi-LLM routing across OpenAI, Anthropic, Google, and open-source - best model per task, no vendor lock-in. Deploy cloud-hosted, BYOC (AWS, Azure, GCP), or on-premise. Every deployment led by a named engineer who builds, integrates, and stays engaged for continuous improvement.

UnoRouter is an OpenAI-compatible LLM gateway. One API key gives you 200+ models across providers (OpenAI, Anthropic, Google and more), drop-in for coding agents like Claude Code, Cline, Codex and Kilo Code. Point any OpenAI SDK at the base URL and switch models without changing code. UnoRouter also includes a built-in chat and character client (personas, lorebooks, SillyTavern card import) on the same key. Usage-based pricing with a free tier, live model and price data.

Vercel AI Gateway is a unified AI infrastructure platform that allows developers to access, manage, and route requests across hundreds of AI models and providers through a single API interface. Built as part of the Vercel AI ecosystem, the platform supports text, image, and video generation models from providers such as OpenAI, Anthropic, SpaceXSI, and others while simplifying authentication, billing, observability, and failover management. Developers can use one API key and centralized dashboard to integrate multiple AI providers into applications without managing separate provider accounts or infrastructure. The platform also includes built-in routing, automatic failovers, usage tracking, unified billing, and compatibility with SDKs such as the Vercel AI SDK, enabling faster development and more resilient AI-powered applications.

Zerouter is a hosted AI API gateway for developers building applications and coding workflows with large language models. It provides one API key and a configurable base URL for sending requests to models from Anthropic (Claude), OpenAI (GPT), Google (Gemini), xAI (Grok), and Moonshot AI (Kimi). The gateway exposes OpenAI-compatible and Anthropic-compatible endpoints, allowing supported SDKs and clients such as Claude Code, Codex CLI, and Cursor to connect with a custom endpoint rather than managing separate provider connections. Users can select model IDs, view published per-token rates, and review request-level usage and charges. Zerouter uses pay-as-you-go billing based on input and output token use, with no subscription or monthly minimum. It is aimed at software developers and technical teams integrating hosted LLMs into apps, coding agents, and other API-based workflows.

ScanRelief is a desktop application that uses OpenAI to automate the processing of receipts and invoices by scanning a folder of image or PDF files, extracting key details like date, amount, and vendor name, renaming each file into a meaningful, chronologically sortable filename, and generating a comprehensive Excel report with all extracted receipt data. The tool supports JPEG, PNG, HEIC, and PDF formats, auto-rotates images, converts HEIC to JPEG when necessary, and downsizes images to meet API-upload limits. It processes files in batches in parallel, enabling users to analyze large volumes of receipts quickly while paying only for actual OpenAI-API usage. Files are processed locally and temporarily sent to OpenAI’s API, and ScanRelief asserts that data is not used for model training. Benefits include improved file-naming that makes receipts findable, simplified reconciliation with bank transactions or accounting records, and audit-ready reporting.

Open source continuous profiling. Find and debug your most painful performance issues across code, infrastructure and CI/CD pipelines. Let you tag your data on the dimensions important for your organization. Allows you to store large volumes of high cardinality profiling data cheaply and efficiently. FlameQL enables custom queries to select and aggregate profiles quickly and efficiently for easy analysis. Analyze application performance profiles using our suite of profiling tools. Understand usage of CPU and memory resources at any point in time and identify performance issue before your customer do. Collect, store, and analyze profiles from various external profiling tools in one central location. Link to your OpenTelemetry tracing data and get request-specific or span-specific profiles to enhance other observability data like traces and logs

The first platform built for prompt engineers. Log OpenAI requests, search usage history, track performance, and visually manage prompt templates. manage Never forget that one good prompt. GPT in prod, done right. Trusted by over 1,000 engineers to version prompts and monitor API usage. Start using your prompts in production. To get started, create an account by clicking “log in” on PromptLayer. Once logged in, click the button to create an API key and save this in a secure location. After making your first few requests, you should be able to see them in the PromptLayer dashboard! You can use PromptLayer with LangChain. LangChain is a popular Python library aimed at assisting in the development of LLM applications. It provides a lot of helpful features like chains, agents, and memory. Right now, the primary way to access PromptLayer is through our Python wrapper library that can be installed with pip.

LLM Gateway is a fully open source, unified API gateway that lets you route, manage, and analyze requests to any large language model provider, OpenAI, Anthropic, Gemini Enterprise Agent Platform, and more, using a single, OpenAI-compatible endpoint. It offers multi-provider support with seamless migration and integration, dynamic model orchestration that routes each request to the optimal engine, and comprehensive usage analytics to track requests, token consumption, response times, and costs in real time. Built-in performance monitoring lets you compare models’ accuracy and cost-effectiveness, while secure key management centralizes API credentials under role-based controls. You can deploy LLM Gateway on your own infrastructure under the MIT license or use the hosted service as a progressive web app, and simple integration means you only need to change your API base URL, your existing code in any language or framework (cURL, Python, TypeScript, Go, etc.)

Ovrin is a hosted compute platform for developers building AI agents and software that needs to run code in controlled environments. Through a REST API, Python and TypeScript SDKs, or an MCP server, users can create disposable Linux sandboxes, run shell commands and stateful code, manage files and scoped API keys, and retrieve execution output. Preconfigured environments include Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness; browser workflows can use Chrome and Playwright. The platform also offers persistent memory, sandbox lifecycle controls, usage metering, and concurrency limits. Typical uses include coding-agent execution, browser automation, and running model-generated code. Plans include a free tier and paid tiers with additional concurrency and usage-based compute charges.