Best Data & Analytics AI Agents (1,460)

8 subcategories · 1,460 agents · Updated September 29, 2026

Data & Analytics covers AI agents that work with data to answer questions, forecast and monitor. Data Analysis and Business Intelligence agents connect to spreadsheets, databases and BI platforms so you can ask questions in plain language and get queries, charts and reports back. Predictive Analytics agents clean data, build forecasting models and run scenarios, while Decision Support and research agents gather evidence from public sources, documents and your own data to support a decision. Recommendation systems learn from behavior and catalogs to decide what each user should see next. For teams running AI in production, Observability & Monitoring tools trace how models and agents behave, and information processing agents collect and organize scattered content.

The key question is whether you can trust and verify what an agent tells you. Prefer agents that show the query, code or sources behind each answer, and test them on questions whose answers you already know. Check which data sources they connect to, whether they query data where it lives or copy it elsewhere, and how access permissions are enforced so people only see what they are allowed to. For forecasting, ask how accuracy is measured and monitored over time. For observability tools, confirm support for the frameworks and model providers you use. Pricing often depends on data volume, queries or traced events, so estimate usage early.

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Browse 8 Data & Analytics subcategories

1,834 listings · open a subcategory to compare every agent in it

Top agents in Data & Analytics

24 picks from 1,460 agents, each listed once. Ranked by traffic to the agent's own website, GitHub stars, subcategory coverage and user saves.

August 2026 traffic ranking

Frequently asked questions

Only after checking how it got them. Agents can misread what a column means, apply the wrong filter or join tables incorrectly while still producing a confident chart. Choose Data Analysis agents that show the SQL or code they ran, test them on questions with known answers, and agree on definitions for key metrics so everyone gets the same numbers. Keep a person responsible for figures that go into decisions or reports.

Business Intelligence agents explain what has happened: they query historical data, build dashboards and answer questions about sales, usage or costs. Predictive Analytics agents estimate what is likely to happen next, using forecasting models, scenario analysis and simulations. Many teams start with business intelligence to get clean, trusted data first, since forecasts built on inconsistent data are not reliable.

Agents take many steps, call tools and models, and can fail in ways that are hard to see from the final output. Observability & Monitoring tools record each step, measure latency, cost and error rates, and help you evaluate answer quality over time. They make it possible to debug a bad result, detect regressions after a model change, and control spending once agents run in production.

Each agent gets one score. The largest part is popularity, measured by monthly visits to its own website or GitHub stars for open-source projects. Smaller parts reflect how many Data & Analytics subcategories the agent covers and how often Creati.ai users save it. Each agent appears once, and only agents whose main focus is this group qualify, so the list is not a copy of any single subcategory. The monthly traffic ranking linked here shows traffic alone.

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