Analytics

Kinetic Pricing is a self-serve pricing research platform built for B2B SaaS founders and product teams. It turns pricing instinct into evidence by helping you model the revenue at stake, run a study with your own users, and get a clear recommendation on what to charge. You bring the respondents, Kinetic provides the research methodology and the analysis. Unlike traditional consulting engagements, Kinetic is designed to be fast and affordable. A typical study can be set up in about 10 minutes and requires only 15 valid responses. The platform includes four research methods: Van Westendorp, Gabor-Granger, MaxDiff, and Conjoint, so you can match the study to the pricing decision in front of you. Key Features Revenue simulator: Model the monthly recurring revenue impact of a price change and see the break-even retention rate before you run any research. Bring your own users: Distribute a mobile-optimized survey link to your mailing list or app users; Kinetic does not recruit participants on your behalf. Four research methods: Choose from Price Range Finder (Van Westendorp), Price Point Tester (Gabor-Granger), Feature Value Ranker (MaxDiff), and Package and Price Builder (Conjoint) to answer the specific pricing question you have. Clear verdicts: Deterministic curve intersections produce a price, a credible range, and a written recommendation you can act on, not a 50-page deck. Decision workspace: Kinetic Pro keeps studies, scenarios, decisions, and outcome checks together, so every price move stays attached to the evidence behind it. Fast setup: Collect the data you need in days, not months, with a self-serve workflow that founders and small teams can manage without a data scientist. Who Should Use Kinetic Pricing B2B SaaS founders who are considering a price change and want to validate the direction with customer evidence. Product managers who need to choose between pricing tiers or feature bundles. Go-to-market and pricing teams that want to track pricing decisions over time and keep an audit trail. Agency or consulting teams that need a reliable way to run pricing studies for their clients (though the platform is designed for self-serve). Frequently Asked Questions What is Kinetic Pricing? Kinetic Pricing is a self-serve pricing research tool for B2B SaaS founders. It helps you model the revenue impact of a price change, test prices with your own users using proven research methods, and get a clear recommendation. Does Kinetic recruit participants for my study? No. Kinetic uses your own users as respondents. You share the survey link with your mailing list, app users, or customer base. This keeps the feedback grounded in people who actually know your product. How much does Kinetic cost? Kinetic Pro costs $99/month after a 30-day free trial, and includes unlimited studies across all four methods. You can also purchase a one-time study starting at $149 if you only need a single decision. Which research methods are included? Kinetic offers four methods: Van Westendorp for finding a credible price range, Gabor-Granger for testing purchase intent at specific prices, MaxDiff for ranking feature value, and Conjoint for comparing package and price trade-offs. How many responses do I need to get a useful result? Kinetic works with as few as 15 valid responses. The platform shows the optimal price point and the range once you reach that threshold, so you can see the result building as responses come in.

Populai is a synthetic judgment engine that enables businesses, product managers, and strategists to pressure-test decisions before they meet the world. By running ideas, products, or strategies past hundreds of realistic, synthetic people, Populai provides rapid, scalable feedback without the cost and time of traditional market research. The platform uses AI-generated personas that mimic diverse demographics, behaviors, and preferences to simulate real-world reactions.What Makes Populai Stand OutRealistic synthetic personas: AI-generated profiles with detailed demographic, psychographic, and behavioral attributes that respond naturally to your inputs.Rapid iteration: Get feedback on multiple variations of your idea in minutes, enabling fast hypothesis testing and refinement.Customizable audiences: Define target segments by age, location, interests, spending habits, and more to match your actual market.Quantitative and qualitative insights: Receive both statistical summaries and open-ended responses that explain the reasoning behind each synthetic opinion.Privacy-safe and ethical: No real human data is used or exposed; all personas are purely synthetic, avoiding privacy concerns.Who Should Use PopulaiProduct managers and startup founders who need to validate product concepts and features quickly before building or launching.Marketers and brand strategists testing campaign messaging, positioning, and creative assets with diverse audience segments.Corporate innovation teams evaluating strategic options, market entry strategies, or internal proposals without leaking sensitive information.Frequently Asked QuestionsWhat is Populai?Populai is a decision support tool that uses AI-generated synthetic personas to simulate how real people might react to your ideas, products, or strategies. It's like running a focus group or survey, but faster, cheaper, and completely private.How does Populai work?You describe your idea or decision context in natural language. Populai then presents it to hundreds of pre-built synthetic personas that represent a wide range of demographics and psychographics. Each persona provides both a quantitative response (e.g., likelihood to buy, rating) and qualitative feedback. You can filter results by persona attributes and compare different versions.What are the limitations of Populai?Synthetic judgments are based on AI models and may not perfectly replicate real human behavior in all edge cases. It is best used as a complement to, not a replacement for, real-world validation with actual customers. Results are most reliable for high-level directional feedback and trend identification.

EsportsOdds is an esports data API for Counter-Strike 2 (CS2) that provides match data, team and player statistics, tournament information, and a single market odds line. Built for developers, data products, and trading desks, it offers both REST endpoints and a WebSocket stream for real-time updates, eliminating the need to scrape or maintain custom data pipelines.What Makes EsportsOdds Stand OutSingle market odds line: One normalized, timestamped odds line per match, aggregated from multiple books and refreshed every 90 seconds or less.Push updates via WebSocket: Mint a 60-second token and receive instant notifications when odds or scores change — pull only what moved.Append-only historical data: Every odds capture is preserved as a time series, never overwritten, enabling backtesting and analysis of line movement.Six REST endpoints: Cover odds, matches, players, teams, tournaments, and WebSocket token generation — all with consistent, documented schemas.Flat pricing at $99/month: Includes 10,000 requests, all endpoints, and WebSocket access — no tiers or hidden fees.Who Should Use EsportsOddsDevelopers building esports dashboards or match pages that need reliable, real-time data without managing scrapers or parsing inconsistent sources.Data products and media publishing CS2 stats and odds — normalized player/team data and a market odds line that can be displayed alongside editorial content.Trading desks seeking historical odds data for backtesting models against real line movements, captured at high frequency with timestamps.Frequently Asked QuestionsWhat is EsportsOdds?EsportsOdds is a data API focused on Counter-Strike 2 that delivers match information, player stats, team records, tournament data, and a consolidated market odds line via REST and WebSocket.How fresh is the data?Odds and match data are polled from multiple sources and update within tens of seconds of an upstream change. The WebSocket stream notifies you immediately when a line or score updates.Which games are supported?Currently only CS2 is available. League of Legends is planned for Q3 2026, Dota 2 for Q4 2026, and Valorant for 2027.

Veezee is an API-first data platform that provides AI agents with structured access to LinkedIn profiles, Reddit discussions, and X (formerly Twitter) posts. Built for developers building autonomous agents, it solves the problem of social data access by offering a unified interface over MCP, REST, CLI, SDK, or agent skills. Agents can discover people, enrich profiles, search discussions, and monitor trends across three major platforms without human intervention for authentication.What Makes Veezee Stand OutAgent-autonomous setup: Agents mint their own free API key in a single HTTP call, no signup or human account creation required.Multi-platform coverage: One credit meter and one tool registry for LinkedIn, Reddit, and X, eliminating separate integrations and contracts.No-account free tier: 200 credits per IP per day with no account or credit card, plus 10,000 free credits on account creation.MCP-native architecture: Supports the Model Context Protocol for seamless integration with Claude Code, Cursor, Windsurf, VS Code, and other MCP-compatible agents.Real-time data on paid plans: Paid keys enable on-demand live fetches, while free tier serves recent cached data.Who Should Use VeezeeAI agent developers seeking a reliable data source for sales prospecting, market research, and brand monitoring without building custom scrapers.Growth and sales teams automating lead enrichment, account research, and outreach list building through agent workflows.Product and marketing teams running sentiment sweeps, competitive analysis, and launch monitoring from live Reddit and X discussions.Frequently Asked QuestionsWhat is Veezee?Veezee is a data API that gives AI agents structured access to LinkedIn, Reddit, and X content via a unified interface. It offers MCP, REST, CLI, SDK, and skill-based integrations.How does Veezee work?Agents connect to Veezee through one of five integration methods (MCP, REST, CLI, SDK, or agent skills). They mint a free key automatically, then call tools to search profiles, posts, and discussions. Credits are consumed per successful request and replenished daily or via purchased packs.What are the limitations of Veezee?The free tier offers 200 credits per IP per day with recent cached data and limited rate. Paid flex packs and monthly plans unlock real-time fetches, higher rate limits (120 calls/min), bigger searches (up to 30 results), and no daily cap.

Truly Analytics is a privacy-preserving analytics recovery platform that makes hidden website activity visible. It recovers traffic and events commonly lost to blocked scripts, ad blockers and privacy tools, then sends reliable measurement into Google Analytics without directly exposing anonymous, non-consenting users to Google’s infrastructure. Beyond traffic recovery, Truly Analytics provides First Party Attribution, organisation level Network Intelligence and configurable Event Hooks for routing valuable signals into CRMs, alerts and business workflows. Its heritage is audience quantification for publishers but has the enhanced features to meet GTM teams in B2B companies and firms whose audiences are missing from convential analytics such as cybersecurity, defense and technical audiences.