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Pay-as-you-go API aggregating thousands of image, video, audio and LLM models with custom inference hardware for lower per-request cost.
Free tool that analyzes YouTube comments for sentiment, emotion and topics to help creators read their audience.
Gmail add-on using GPT filters to auto-label unwanted email and manage senders, without reading message bodies.
Upload a CSV and ask questions in plain language to get answers and charts; now acquired by Flatfile with successor Obvious.
Free trial available
No public pricing
No public pricing
No public pricing
- ✦Single API for image, video, audio, 3D and LLM models
- ✦Standardized model addressing across hosted, partner and custom uploads
- ✦Support for LoRAs, ControlNets, VAEs and embeddings on open-source models
- ✦WebSocket and REST access with async webhook delivery
- ✦Pay-per-request billing with no infrastructure to manage
- ✦Raw serverless GPU/CPU compute for custom workloads
- ✦YouTube comment sentiment analysis
- ✦Emotion detection
- ✦Top-subject and topic extraction
- ✦Audience engagement scoring
- ✦Ask questions of your comment section
- ✦GPT-powered custom email filters
- ✦Install public filter categories
- ✦One-click category labeling
- ✦Sender allow/block management
- ✦Privacy-first: email content not read
- ✦Labels instead of deleting
- ✦Chat with CSV data in natural language
- ✦Auto-generated charts (bar, pie, etc.)
- ✦Upload from file, URL, or clipboard
- ✦Suggested starter questions
- ✦Shareable chat history
- →Adding AI image or video generation to an app without managing infra
- →Batching multi-modal generation tasks in one API call
- →Running custom fine-tuned models via Model Upload
- →Cutting inference costs at high generation volume
- →Understand YouTube audience reactions
- →Identify recurring viewer topics
- →Gauge engagement on videos
- →Cut inbox clutter from unwanted emails
- →Auto-categorize incoming mail
- →Block persistent senders
- →Reduce reliance on unsubscribing
- →Quick analysis of spreadsheet data
- →Visualizing trends without formulas
- →Non-technical data exploration
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