Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.
Enables AI clients to analyze any company domain and determine its AI maturity tier (commercialized, deployed, declared, or none) with supporting evidence, via a single tool backed by an Apify actor.
Routes natural-language intent to SigRank's leaderboard with behavioral framing and competitive context, enabling AI assistants to answer queries like 'who is the best AI user?' with rank, percentile, and delta metrics.
Enables AI assistants to access Amazon price history, sales rank trends, product details, best-sellers, and deals via the Keepa API for product research and deal hunting.
Enables coding agents to query AI model API prices, including historical point-in-time lookups with cited sources, using a bundled dated dataset and requiring no API keys.
MCP server providing U.S. college ROI data (30-year NPV, major ROI, best-value rankings, and out-of-state tuition penalty) by wrapping a free, keyless API.
A Model Context Protocol (MCP) server that enables MCP clients like Claude Desktop to interact with protocols.io, a popular platform for sharing scientific protocols and methods.
Enables natural language interaction with your T-Invest brokerage account for portfolio analysis, dividend tracking, and optional trading with safety confirmations.
Enables AI assistants to guide users through MBTI personality tests with two modes (28-question simplified or 48-question cognitive functions), track progress, and provide detailed personality type analysis and results.
MCP server exposing 40 best-practice product management skills plus workflows and lifecycle tools, instantly accessible to any AI via Model Context Protocol.
A Python MCP server for deterministic fuzzy text matching using RapidFuzz. It enables text normalization, string comparison, best-match ranking, duplicate grouping, and match explanation via configurable profiles and strategies.
Enables AI agents to conversationally interact with genomics research networks for data analysis and discovery across multiple Omics AI Explorer platforms. It provides tools for exploring data collections, examining table schemas, and executing SQL queries against datasets like Viral AI and Neuroscience AI.