AI-powered investment platform offering stock screening and market analysis tools.
Paid · $0+Visit ↗
Best Data & Analytics AI Agents (1,456)
8 subcategories · 1,456 agents · Updated October 31, 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.
Ads
Browse 8 Data & Analytics subcategories
1,826 listings · open a subcategory to compare every agent in it
- 216 agents
Business Intelligence
Business intelligence tools use AI to turn scattered business data into answers.
- 186 agents
Data Analysis
Tools in this category connect to spreadsheets, databases and BI platforms so you can ask questions in plain language and get answers back.
- 185 agents
Recommendation Systems
Recommendation systems learn from user behavior, catalogs and documents to decide what someone should see next.
- 113 agents
Research
Research tools here do the legwork: agents that scan public sources, trace a competitor's history, read long documents…
- 102 agents
Observability & Monitoring
Observability and monitoring tools show how AI models, agents and applications behave once they are running.
- 62 agents
Information Processing
Information processing tools help you find, pull together and make sense of scattered content.
- Built a Data & Analytics agent?Submit it to Creati.ai and choose the subcategories it belongs in. Listings are reviewed before they go live.
Top agents in Data & Analytics
24 picks from 1,456 agents, each listed once. Ranked by traffic to the agent's own website, GitHub stars, subcategory coverage and user saves.
DBGPT is an AI agent that generates SQL queries, executes them on databases, and visualizes results in real time.
Rags is a Python framework enabling retrieval-augmented chatbots by combining vector stores with LLMs for knowledge-based QA.
AI Agent that gathers and summarizes company financials, funding, leadership, and market insights into concise reports.
An AI agent automating literature reviews, summarizing papers, and organizing research insights for academic workflows.
Camel is an open-source AI agent orchestration framework enabling multi-agent collaboration, tool integration, and planning with LLMs & knowledge graphs.
MLE Agent leverages LLMs to automate machine learning operations, including experiment tracking, model monitoring, pipeline orchestration.
An AI-powered trading agent using deep reinforcement learning to optimize stock and crypto trading strategies in live markets.
An open-source Python framework for building customizable AI assistants with memory, tool integrations, and observability.
Chat2Graph is an AI agent that transforms natural language queries into TuGraph graph database queries and visualizes results interactively.
OpenDerisk automatically evaluates AI model risks in fairness, privacy, robustness, and safety through customizable risk assessment pipelines.
Virtual Scientists provides AI Agents simulating expert researchers in physics, chemistry, biology, and more for scientific Q&A and exploration.
An AI Agent that finds and ranks companies similar to a given organization using industry, financial, and market data.
A ROS-based multi-robot system for autonomous cooperative search and rescue missions with real-time coordination.
DataSavvy.Chat enables businesses to build custom AI chat assistants for real-time customer engagement.
Freemium · $19+Visit ↗Reviewik utilizes AI to analyze user feedback for actionable insights.
Optimize your marketing strategies with TorkeHub’s powerful CRM platform.
Free TrialVisit ↗Cresh is an AI Agent that simplifies complex tasks using natural language processing.
Whoz boosts professional services with advanced talent management and project staffing solutions.
Pecan AI simplifies data analytics with automated insights and predictions for businesses.
CausaLens provides AI-driven causal analysis to unlock insights from complex data.
An AI tool that uses Anthropic Claude embeddings via CrewAI to find and rank similar companies based on input lists.
MetaPlane - comprehensive data observability for data-driven teams.
Freemium · $0+Visit ↗AI-powered data analysis for smarter, quicker decisions.
Paid · $1200+Visit ↗
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.
More AI agent groups
Looking for single-purpose tools? AI Tool categories →