{"capturedAt":"2026-10-18T21:05:41.409585+00:00","categories":[{"name":"Artificial intelligence","slug":"ai"}],"description":"SuperPenguin is an AI spend intelligence platform that provides granular cost attribution across models, providers, and features using Python and TypeScript SDKs. SuperPenguin provides AI spend intelligence by transforming opaque AI billing into actionable data. The platform allows engineering and finance teams to see exactly which customers, features, teams, models, and providers are driving AI costs. By opening the 'black box' of AI spend, organizations can gain full visibility into their operational expenses across various AI services. Granular Attribution and Tracking The software enables attribution by tying AI costs to specific identifiers. You can track spend down to the individual PR level for tools like Cursor or attribute costs to specific customer IDs and features. This level of detail ensures that every AI dollar is accounted for and can be mapped back to the value it generates for the business. Developer-First Integration Integrating SuperPenguin is straightforward with dedicated SDKs for Python and TypeScript. Developers can wrap their existing clients. The platform supports a wide range of providers and tools, including: OpenAI, Anthropic, and Gemini Deepgram and ElevenLabs LiteLLM and Vercel AI SDK Cursor PR spend tracking Advanced Cost Management Beyond simple tracking, SuperPenguin offers features to optimize and estimate future spend. It supports batch API jobs for asynchronous tasks which can reduce costs by approximately 50%. Users can also leverage regional and tier pricing data, content capture for prompts and completions, and real-time cost estimation to maintain budget control.","images":[{"alt":"","originalSrc":"/_next/image?url=https%3A%2F%2Fcdn.findly.tools%2Fupload-1784277025992.png&w=96&q=75","url":"https://cdn.findly.tools/upload-1784277025992.png"}],"links":[{"text":"Artificial intelligence","url":"https://findly.tools/categories/ai"},{"text":"Visit website","url":"https://superpenguin.ai/?utm_source=Findly.tools"}],"metadata":[{"content":"width=device-width, initial-scale=1, maximum-scale=5, user-scalable=yes","name":"viewport"},{"content":"SuperPenguin is an AI spend intelligence platform that provides granular cost attribution across models, providers, and features using Python and TypeScript","name":"description"},{"content":"Eric","name":"author"},{"content":"SuperPenguin,ai tool,ai software,Granular attribution by customer, feature, team, model, and provider.,Support for batch API jobs offering approximately 50% cost savings.,Native SDKs for Python and TypeScript with support for OpenAI, Anthropic, and Gemini.,Ability to tie Cursor spend directly to the Pull Requests (PRs) it shipped.,Content capture capabilities for both prompts and completions.,Real-time cost estimation and regional/tier pricing visibility.","name":"keywords"},{"content":"Eric","name":"creator"},{"content":"Findly.tools","name":"publisher"},{"content":"index, follow","name":"robots"},{"content":"index, follow, max-video-preview:-1, max-image-preview:large, max-snippet:-1","name":"googlebot"},{"content":"technology","name":"category"},{"content":"SuperPenguin | Findly","name":"og:title"},{"content":"SuperPenguin is an AI spend intelligence platform that provides granular cost attribution across models, providers, and features using Python and TypeScript","name":"og:description"},{"content":"https://findly.tools/superpenguin","name":"og:url"},{"content":"Findly.tools","name":"og:site_name"},{"content":"https://findly.tools/superpenguin/opengraph-image","name":"og:image"},{"content":"1200","name":"og:image:width"},{"content":"630","name":"og:image:height"},{"content":"SuperPenguin - Featured on Findly.tools","name":"og:image:alt"},{"content":"website","name":"og:type"},{"content":"summary_large_image","name":"twitter:card"},{"content":"SuperPenguin | Findly","name":"twitter:title"},{"content":"SuperPenguin is an AI spend intelligence platform that provides granular cost attribution across models, providers, and features using Python and TypeScript","name":"twitter:description"},{"content":"https://findly.tools/superpenguin/opengraph-image","name":"twitter:image"}],"pageTitle":"SuperPenguin | Findly","pricingLabel":"","schemas":[{"@context":"https://schema.org","@id":"https://findly.tools/#organization","@type":"Organization","description":"Curated directory of tools and resources for developers, creators, and entrepreneurs. Find the perfect tool for your next project.","founder":{"@type":"Person","name":"Eric","url":"https://x.com/eribn09"},"logo":"https://findly.tools/logo.png","name":"Findly.tools","sameAs":["https://x.com/findlytools"],"url":"https://findly.tools"},{"@context":"https://schema.org","@id":"https://findly.tools/superpenguin#webpage","@type":"WebPage","description":"SuperPenguin is an AI spend intelligence platform that provides granular cost attribution across models, providers, and features using Python and TypeScript SDKs. SuperPenguin provides AI spend intelligence by transforming opaque AI billing into actionable data. The platform allows engineering and finance teams to see exactly which customers, features, teams, models, and providers are driving AI costs. By opening the 'black box' of AI spend, organizations can gain full visibility into their operational expenses across various AI services. Granular Attribution and Tracking The software enables attribution by tying AI costs to specific identifiers. You can track spend down to the individual PR level for tools like Cursor or attribute costs to specific customer IDs and features. This level of detail ensures that every AI dollar is accounted for and can be mapped back to the value it generates for the business. Developer-First Integration Integrating SuperPenguin is straightforward with dedicated SDKs for Python and TypeScript. Developers can wrap their existing clients. The platform supports a wide range of providers and tools, including: OpenAI, Anthropic, and Gemini Deepgram and ElevenLabs LiteLLM and Vercel AI SDK Cursor PR spend tracking Advanced Cost Management Beyond simple tracking, SuperPenguin offers features to optimize and estimate future spend. It supports batch API jobs for asynchronous tasks which can reduce costs by approximately 50%. Users can also leverage regional and tier pricing data, content capture for prompts and completions, and real-time cost estimation to maintain budget control.","image":"https://cdn.findly.tools/upload-1784277025992.png","isPartOf":{"@id":"https://findly.tools/#website","@type":"WebSite","name":"Findly.tools","url":"https://findly.tools"},"mainEntityOfPage":"https://findly.tools/superpenguin","name":"SuperPenguin","sameAs":"https://superpenguin.ai/","url":"https://findly.tools/superpenguin"},{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","item":"https://findly.tools","name":"Home","position":1},{"@type":"ListItem","item":"https://findly.tools/categories/ai","name":"Artificial intelligence","position":2},{"@type":"ListItem","item":"https://findly.tools/superpenguin","name":"SuperPenguin","position":3}]},{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","acceptedAnswer":{"@type":"Answer","text":"SuperPenguin supports major providers including OpenAI, Anthropic, Gemini, Deepgram, ElevenLabs, and LiteLLM."},"name":"Which AI providers does SuperPenguin support?"},{"@type":"Question","acceptedAnswer":{"@type":"Answer","text":"You can install the Python SDK via pip or the TypeScript SDK via npm, then initialize it with an API key and wrap your existing provider clients using the sp.wrap() method."},"name":"How do I integrate SuperPenguin into my application?"},{"@type":"Question","acceptedAnswer":{"@type":"Answer","text":"Yes, you can pass metadata such as customer_id on a per-call basis using sp.metadata() or @sp.trace to ensure every request is correctly attributed."},"name":"Can I attribute costs to specific customers dynamically?"},{"@type":"Question","acceptedAnswer":{"@type":"Answer","text":"No, the metadata is handled via context variables or stripped from the request body before it leaves the SDK, ensuring it does not trigger validation errors with providers like Anthropic."},"name":"Does the SDK interfere with provider API validation?"},{"@type":"Question","acceptedAnswer":{"@type":"Answer","text":"The Attribution page displays total SDK spend, total request count, and the average cost per request."},"name":"What metrics are available on the Attribution page?"}]}],"sections":[{"heading":"Ideal for","items":["Engineering teams needing to attribute AI costs to specific features or PRs.","Finance departments looking to deconstruct complex AI provider billing.","SaaS companies requiring per-customer AI margin analysis.","Developers using Vercel AI SDK, OpenAI, or Anthropic who need better spend visib"],"text":"Engineering teams needing to attribute AI costs to specific features or PRs.\n\nFinance departments looking to deconstruct complex AI provider billing.\n\nSaaS companies requiring per-customer AI margin analysis.\n\nDevelopers using Vercel AI SDK, OpenAI, or Anthropic who need better spend visib"},{"heading":"What you can do","items":["Granular attribution by customer, feature, team, model, and provider.","Support for batch API jobs offering approximately 50% cost savings.","Native SDKs for Python and TypeScript with support for OpenAI, Anthropic, and Gemini.","Ability to tie Cursor spend directly to the Pull Requests (PRs) it shipped.","Content capture capabilities for both prompts and completions.","Real-time cost estimation and regional/tier pricing visibility."],"text":"Granular attribution by customer, feature, team, model, and provider.\n\nSupport for batch API jobs offering approximately 50% cost savings.\n\nNative SDKs for Python and TypeScript with support for OpenAI, Anthropic, and Gemini.\n\nAbility to tie Cursor spend directly to the Pull Requests (PRs) it shipped.\n\nContent capture capabilities for both prompts and completions.\n\nReal-time cost estimation and regional/tier pricing visibility."},{"heading":"Questions","items":[],"text":"Which AI providers does SuperPenguin support?SuperPenguin supports major providers including OpenAI, Anthropic, Gemini, Deepgram, ElevenLabs, and LiteLLM.How do I integrate SuperPenguin into my application?You can install the Python SDK via pip or the TypeScript SDK via npm, then initialize it with an API key and wrap your existing provider clients using the sp.wrap() method.Can I attribute costs to specific customers dynamically?Yes, you can pass metadata such as customer_id on a per-call basis using sp.metadata() or @sp.trace to ensure every request is correctly attributed.Does the SDK interfere with provider API validation?No, the metadata is handled via context variables or stripped from the request body before it leaves the SDK, ensuring it does not trigger validation errors with providers like Anthropic.What metrics are available on the Attribution page?The Attribution page displays total SDK spend, total request count, and the average cost per request."}],"sourceText":"SuperPenguin\n\nArtificial intelligence\n\nVisit websiteSuperPenguin is an AI spend intelligence platform that provides granular cost attribution across models, providers, and features using Python and TypeScript SDKs.\n\nDetails\n\nWhat it does\n\nSuperPenguin provides AI spend intelligence by transforming opaque AI billing into actionable data. The platform allows engineering and finance teams to see exactly which customers, features, teams, models, and providers are driving AI costs. By opening the 'black box' of AI spend, organizations can gain full visibility into their operational expenses across various AI services.\n\nGranular Attribution and Tracking\n\nThe software enables attribution by tying AI costs to specific identifiers. You can track spend down to the individual PR level for tools like Cursor or attribute costs to specific customer IDs and features. This level of detail ensures that every AI dollar is accounted for and can be mapped back to the value it generates for the business.\n\nDeveloper-First Integration\n\nIntegrating SuperPenguin is straightforward with dedicated SDKs for Python and TypeScript. Developers can wrap their existing clients. The platform supports a wide range of providers and tools, including:\n\nOpenAI, Anthropic, and Gemini\n\nDeepgram and ElevenLabs\n\nLiteLLM and Vercel AI SDK\n\nCursor PR spend tracking\n\nAdvanced Cost Management\n\nBeyond simple tracking, SuperPenguin offers features to optimize and estimate future spend. It supports batch API jobs for asynchronous tasks which can reduce costs by approximately 50%. Users can also leverage regional and tier pricing data, content capture for prompts and completions, and real-time cost estimation to maintain budget control.\n\nIdeal for\n\nEngineering teams needing to attribute AI costs to specific features or PRs.\n\nFinance departments looking to deconstruct complex AI provider billing.\n\nSaaS companies requiring per-customer AI margin analysis.\n\nDevelopers using Vercel AI SDK, OpenAI, or Anthropic who need better spend visib\n\nFeatures\n\nWhat you can do\n\nGranular attribution by customer, feature, team, model, and provider.\n\nSupport for batch API jobs offering approximately 50% cost savings.\n\nNative SDKs for Python and TypeScript with support for OpenAI, Anthropic, and Gemini.\n\nAbility to tie Cursor spend directly to the Pull Requests (PRs) it shipped.\n\nContent capture capabilities for both prompts and completions.\n\nReal-time cost estimation and regional/tier pricing visibility.\n\nQuestions\n\nWhich AI providers does SuperPenguin support?SuperPenguin supports major providers including OpenAI, Anthropic, Gemini, Deepgram, ElevenLabs, and LiteLLM.How do I integrate SuperPenguin into my application?You can install the Python SDK via pip or the TypeScript SDK via npm, then initialize it with an API key and wrap your existing provider clients using the sp.wrap() method.Can I attribute costs to specific customers dynamically?Yes, you can pass metadata such as customer_id on a per-call basis using sp.metadata() or @sp.trace to ensure every request is correctly attributed.Does the SDK interfere with provider API validation?No, the metadata is handled via context variables or stripped from the request body before it leaves the SDK, ensuring it does not trigger validation errors with providers like Anthropic.What metrics are available on the Attribution page?The Attribution page displays total SDK spend, total request count, and the average cost per request.","sourceUrl":"https://findly.tools/superpenguin","tagline":"SuperPenguin is an AI spend intelligence platform that provides granular cost attribution across models, providers, and features using Python and TypeScript SDKs.","version":1}