Paid services on Base matching “vision”

Calculate real estate investment metrics from property financials. Required: purchase_price, monthly_rent, down_payment_percent. Returns cap_rate, cash_on_cash, DSCR, gross_rent_multiplier, monthly_cashflow, mortgage, expenses, and annual_noi. Optional inputs have smart defaults (7% rate, 30yr term, 8% vacancy, 10% management). Not financial advice.

Routes requests across open-weight models using task fit, tool calling, vision, JSON format, context, output capacity, provider availability, and price. Send POST application/json with model set to ai-open-models/auto and a non-empty messages array. task_type is optional; when omitted, Auto classifies the request. Supports function tools, JSON responses, and mixed text/image messages using public

Downloads one HTTPS image through the hub SSRF guard, then asks the configured OpenAI vision model for strict structured JSON. It reports observed features and readable markings, at most five ranked type candidates, and conductor material, core count or cross-section only where the image supports them; unknown values remain null or unknown. The result is identification assistance, not an electrica

Answer questions about an image or describe what it shows (Llama 3.2 11B vision), fixed price $0.008 USDC. Use this when the input is an image; use /chat for text-only questions. POST JSON body {image (required, base64 or data:image/... URI, max 4 MB decoded, PNG/JPEG/GIF/WEBP), prompt (optional question, defaults to describing the image), max_tokens (optional 1-512, default 256)}. Returns {text}.

AI model list prices (USD per 1M input/output/cached tokens, context window, vision/tools/reasoning flags) for ~3,000 models across OpenAI, Anthropic, Google, Mistral, Groq, Bedrock, Azure, Together, Fireworks and more, plus verified free tiers/rate limits of AI APIs. Filters: q, provider, free=yes, max_input_per_m, min_context, vision=yes, tools=yes, sort=input|output|context, limit<=100.

Analyze any image URL using GPT-4o-mini vision. Returns structured analysis based on the mode: describe (full description), ocr (text extraction), chart (data/trend extraction), ui (interface analysis), identify (object/subject ID), or qa (answer a specific question about the image). Input must be a publicly accessible image URL (JPEG, PNG, GIF, WebP). $0.261/call.

Extract raw artifacts from images: OCR text and detected objects. No interpretation, just clean machine-readable data. Powered by GPT-4o Vision. Payment via USDC on base.

Ranks models cheapest first by blended USD per 1M tokens (inputShare weights input vs output). Filter by provider, mode, minContextTokens, input/output modality, function calling, vision and price caps. Skips sample_spec and models past their deprecation date.

Finds personally identifiable information (names, addresses, emails, phone numbers, credit card and bank numbers, SSNs, passwords, IP addresses and more) in English or Spanish text with Amazon Comprehend. Returns each entity's type, offsets and score, and the text with each one replaced by [TYPE].

Analyze a meal photo for visible foods, estimated food-group shares, missing groups, plant diversity and a balance score. Returns JSON with one practical suggestion. No receipt, Replate account or receipt verification is required. Visual estimates only; no exact calories or medical assessment. (0.01 USDC)