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WagerNest

Sport Betting Analytics Tool

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Sport BettingAI sports dataset

About

WagerNest is a sports betting analytics and market monitoring platform that provides access to observed sports bets from five sources: Stake, BC.Game, Shuffle, BetPanda, and 500 Casino. The platform is designed to help users analyze betting activity by examining event context, comparing available evidence, and researching individual bettors. It operates as an independent analytics tool with no bookmaker affiliation. The platform offers a free workspace that requires only email verification, with no payment card needed. The free feed operates on a five-minute delay, while a match lens public sample is available with a fifteen-minute delay. WagerNest protects the identities of bettors, exact bet amounts, and full ticket details. Core features include match exploration, bettor profile research, feeds for singles and parlays, stored selections, and outcome updates. Typical workflows in WagerNest involve three stages. First, users observe what is actually known about a bet and identify what is missing before drawing conclusions, keeping in mind that a large stake is not a win probability. Second, users cross-check the same fixture across sources, comparing the exact market, period, selection, and settlement rules, since a public row alone does not verify a cross-source match. Third, users create a personal feed for a sport, inspect available evidence, and record a practice hypothesis or decision in a journal without risking money. The platform serves analysts through access to events, observed bets, bettor profiles, and filters, and serves builders through its API. For developers, WagerNest provides a REST API that returns JSON data and follows the OpenAPI 3.1 specification. The API requires server-side requests and is available in Free, Starter, Pro, and Team tiers. The developer hub includes documentation and personal request analytics. A separate machine learning desk provides sport models, publication history, and paper results for users exploring predictive strategies.

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Added October 30, 2026
Updated October 30, 2026

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