> ## Documentation Index > Fetch the complete documentation index at: https://www.edenai.co/docs/llms.txt > Use this file to discover all available pages before exploring further. > Learn how to track your Eden AI API consumption and costs using the Cost Monitoring endpoints. # Monitoring export const TechArticleSchema = ({title, description, path, articleSection, about, proficiencyLevel = "Beginner", dependencies, keywords = [], datePublished, dateModified, image, inLanguage = "en"}) => { const baseUrl = "https://www.edenai.co/docs"; const canonicalUrl = `${baseUrl}/${path}`.replace(/\/+$/, ""); const ogParams = new URLSearchParams({ division: articleSection || "", title: title || "", description: description || "" }); const resolvedImage = image || `https://edenai.mintlify.app/_mintlify/api/og?${ogParams.toString()}`; const data = { "@context": "https://schema.org", "@type": "TechArticle", "@id": `${canonicalUrl}#techarticle`, mainEntityOfPage: { "@type": "WebPage", "@id": canonicalUrl }, headline: title, name: title, description: description, url: canonicalUrl, inLanguage: inLanguage, isPartOf: { "@type": "WebSite", name: "Eden AI Documentation", url: baseUrl }, author: [{ "@type": "Organization", name: "Eden AI", url: "https://www.edenai.co/" }], publisher: { "@type": "Organization", name: "Eden AI", url: "https://www.edenai.co/", logo: { "@type": "ImageObject", url: "https://www.edenai.co/assets/logo.png" } } }; if (articleSection) data.articleSection = articleSection; if (about) data.about = { "@type": "Thing", name: about }; if (proficiencyLevel) data.proficiencyLevel = proficiencyLevel; if (dependencies) data.dependencies = dependencies; if (keywords && keywords.length) data.keywords = keywords; if (datePublished) data.datePublished = datePublished; if (dateModified) data.dateModified = dateModified; data.image = Array.isArray(resolvedImage) ? resolvedImage : [resolvedImage]; const json = JSON.stringify(data); const schemaId = `techarticle-${canonicalUrl}`; React.useEffect(() => { if (typeof document === "undefined") return; document.querySelectorAll(`script[data-schema-id="${schemaId}"]`).forEach(n => n.remove()); const script = document.createElement("script"); script.type = "application/ld+json"; script.dataset.schemaId = schemaId; script.textContent = json; document.head.appendChild(script); return () => script.remove(); }, [json, schemaId]); return null; }; Learn how to track your Eden AI API consumption and costs using the Cost Monitoring endpoints. > **Note**: These are admin/dashboard endpoints typically used by the Eden AI dashboard or custom admin interfaces. For standard API usage authentication, see the [API Keys guide](/v3/general/custom-api-keys). ## Overview The Cost Monitoring API provides two key endpoints to help you track and manage your Eden AI spending: * **Monitor Consumptions** - Get detailed usage and cost breakdowns by date, provider, and feature * **Check Credits** - Retrieve your current account credit balance ## Endpoints ### Monitor Consumptions ``` GET https://api.edenai.run/v2/cost_management/ ``` ### Check Current Credits ``` GET https://api.edenai.run/v2/cost_management/credits/ ``` ## Key Concepts ### Step Parameter The `step` parameter controls how data is aggregated: | Step Value | Aggregation Period | Use Case | | ---------- | ------------------ | ----------------------- | | 1 | Daily | Detailed daily analysis | | 2 | Weekly | Weekly trends | | 3 | Monthly | Monthly reports | | 4 | Yearly | Annual summaries | ### Filtering Options Filter your cost data by adding any of these query parameters: | Parameter | Description | Example | | ---------------- | --------------------------- | ------------------------------- | | `provider` | Specific AI provider | `openai`, `anthropic` | | `subfeature` | Specific feature | `chat`, `ocr`, `text_to_speech` | | `token` | Specific API token | `prod_token_123` | | `workflow_id` | Specific workflow execution | | | `rag_project_id` | Specific RAG project | | ## Check Your Current Credits ```python Python theme={null} import requests API_KEY = "eyJhbG...xxxxxxxxxxxxxxxxxxxxxxxx" response = requests.get( "https://api.edenai.run/v2/cost_management/credits/", headers={"Authorization": f"Bearer {API_KEY}"} ) credits_data = response.json() print(f"Current credits: ${credits_data['credits']:.2f}") ``` **Response:** ```json theme={null} { "credits": 42.50 } ``` ## Monitor Usage Get your last 30 days of usage, grouped by day: ```python Python theme={null} import requests from datetime import datetime, timedelta API_KEY = "eyJhbG...xxxxxxxxxxxxxxxxxxxxxxxx" end_date = datetime.now() begin_date = end_date - timedelta(days=30) response = requests.get( "https://api.edenai.run/v2/cost_management/", headers={"Authorization": f"Bearer {API_KEY}"}, params={ "begin": begin_date.strftime("%Y-%m-%d"), "end": end_date.strftime("%Y-%m-%d"), "step": 1 # Daily aggregation } ) data = response.json() print(f"Usage data retrieved for {len(data['response'])} token(s)") ``` ## Response Format The monitoring endpoint returns data structured by token, date, and feature: ```json theme={null} { "response": [ { "token": "base_token", "data": { "2024-01-01": { "text__chat": { "total_cost": 11.30, "details": 381, "cost_per_provider": { "openai": 11.28, "anthropic": 0.02 } }, "image__explicit_content": { "total_cost": 0.15, "details": 101, "cost_per_provider": { "google": 0.15 } } } } } ] } ``` ### Response Fields | Field | Type | Description | | ------------------- | ------- | ---------------------------------------- | | `token` | string | API token identifier | | `data` | object | Date-keyed usage data | | `total_cost` | number | Total cost for this feature on this date | | `details` | integer | Number of API calls made | | `cost_per_provider` | object | Cost breakdown by provider | ### Feature Naming Convention Features follow the pattern `{category}__{subfeature}`: | Key | Description | | ------------------------- | -------------------- | | `text__chat` | LLM chat completions | | `text__generation` | Text generation | | `text__embeddings` | Text embeddings | | `image__explicit_content` | Image moderation | | `image__question_answer` | Image Q\&A | | `ocr__ocr` | OCR text extraction | | `audio__text_to_speech` | Text-to-speech | ## Error Responses ### 400 Bad Request ```json theme={null} { "error": { "type": "validation_error", "message": { "begin": ["This field is required."] } } } ``` ### 403 Forbidden ```json theme={null} { "error": { "type": "permission_error", "message": "You do not have permission to access this resource" } } ``` ### 404 Not Found ```json theme={null} { "details": "Not Found" } ```