Scoop Analytics

Agenova verified this product identity, but accepted official evidence is currently insufficient for specific capability, pricing, integration, deployment, privacy, or enterprise-control claims. Unverified fields remain Unknown.

Scoop Analytics is an agentic analytics platform built for business operators rather than data engineers. It comes from Brad Peters, who spent two decades in enterprise business intelligence and founded Birst before it was acquired by Infor. His argument is that traditional analytics only reports, showing a number on a dashboard, while what leaders actually need is a system that investigates, telling them what is changing and why before they go looking. Scoop's answer is an artificial intelligence agent that behaves like a senior analyst, taking a plain English question and testing hypotheses, finding patterns, and surfacing what is really driving a result. The core of the product is a multi step reasoning engine. Rather than answering a single query, Scoop runs several analytical lenses in parallel, and when something looks off it fires off more than a dozen diagnostic probes to decide whether a change is real or just noise. Machine learning tests every dimension of the data to find what is actually moving a metric, with each finding leading to the next question, the way a human analyst would work. This is paired with real machine learning for the numbers themselves, including clustering, decision trees, and predictive scoring for churn, lead quality, and revenue, and predictions can be pushed back into a customer relationship management or marketing tool with one click. Scoop is designed to sit on top of the tools a company already uses rather than replace them. It connects to warehouses such as Snowflake, Databricks, BigQuery, and Microsoft Fabric, and to dozens of business applications including Salesforce, HubSpot, Google Analytics, and NetSuite, blending sources and matching records across systems automatically. It runs natively inside Slack and Teams, so a user can ask a question in a channel and get a full investigation back in the flow of work, and saved queries can be grouped into decks that generate PowerPoint presentations in one click. Every conclusion shows exactly how the agent reached it, for transparency and trust. The most advanced tier, called Domain Intelligence, adds an industry and company specific layer that learns how a business actually operates and monitors it autonomously. For a multi location retailer or franchise, Scoop can screen every store every cycle, run hundreds of probes, diagnose the reasons behind problems, and deliver an action plan before a review call. Teams can also bring their own OpenAI or Anthropic keys on the entry tier. Pricing is largely self serve, with a free trial and individual plans starting around ninety nine dollars per month per seat, a team tier above that, and custom enterprise and Domain Intelligence pricing for larger deployments. It fits operations leaders who want investigation and answers rather than another dashboard to maintain.