Provides tools to retrieve incidents from the AI Incident Database, including full incident details by ID, recent incidents, and classification taxonomies.
Enables AI agents to search Civitai's catalog of community AI image-generation models, retrieve full details for a specific model, and browse top models by type or base model.
Wraps IPQualityScore's fraud-prevention API to enable AI agents to check IP reputation, email verification, and other fraud detection data through natural language queries.
Provides open-source machine translation capabilities, including language detection and listing supported languages, via a customizable LibreTranslate endpoint.
Enables AI agents to look up facts about notable machine-learning models — organization, release date, parameter count, training-compute (FLOP) estimate, hardware and accessibility — by name, and to search or aggregate them by organization, domain, year, or compute threshold. Supports filtering the dataset newest-first and producing per-year training-compute trends, keylessly and without authentication.
Enables AI agents to browse, inspect, and compare LLMs from OpenRouter's catalog with normalized per-million-token pricing, context windows, and modalities. Supports filtering by search, free-only status, minimum context, or modality.
Provides AI agents with up-to-date briefings on AI tools, models, and industry developments, enabling them to stay current by querying recent releases, news, and timelines.
Enables keyless translation between languages using machine translation and community translation memory, with automatic source-language detection, match-quality scores, and alternate candidate translations.
Enables AI agents to run open models such as Flux, Llama, and Whisper and to manage the resulting predictions, deployments, and model metadata. Supports starting, polling, streaming, and cancelling runs, with webhook notifications for completion.
Enables running the same prompt(s) across roughly 300 models from Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, Qwen and others, then comparing per-model outputs, latency, token usage, error rates and billed cost side by side. Supports free cost estimates before launching, asynchronous run creation with status polling and cancellation, prepaid x402 credit top-ups, and an optional AI-written comparison summary of the results.