AI Data Analyst Agent for teams without a data team
A data team without the headcount. Point it at a CSV or Sheet, ask in plain language, and it cleans, charts, and answers, with full undo.
Upload a CSV or point it at a Google Sheet. Your agent imports it into a structured datastore and cleans messy entries with full undo. Ask for a chart or a follow-up answer in plain language and you get it.
Your AI data analyst: datastores, cleanup, and charts
Customer exports, survey responses, billing records. Most teams have data they can’t use, stuck in messy CSVs nobody has time to clean. Fasrad’s AI data analyst imports it, cleans it, charts it and answers questions about it without a data engineer in the room.
Upload a CSV or share a Google Sheet. Your agent builds a structured datastore (think typed database table) and offers to normalize it: malformed emails fixed, duplicates collapsed, categories standardized. Every bulk edit gets a dry-run preview and a 90-day undo window, so a mistake is a rollback away.
Strongest benefits:
- CSV + Sheet import. It infers the schema, assigns types and creates indexes automatically.
- Bulk cleanup with preview. Regex replace, case normalize, dedupe or retag thousands of rows at once.
- 90-day undo window. Every batch edit is snapshotted. Roll back by description or operation ID.
- Chart rendering. Bar, line, pie or table from natural language (*“revenue by region, last 4 quarters”*).
- Conversational queries. Ask in plain English and your agent writes the filter, then returns results plus a chart.
The bulk edit + undo combination is unique to Fasrad. No spreadsheet-plus-chatbot setup gives you preview-before-commit with content-hashed rollback. You can retag 10,000 customers, notice the next day that it’s wrong, and say *“roll back yesterday’s category retag.”* It’s undone.
Teams use it for product analytics (events from CSV), CRM cleanup (deduping thousands of contacts), survey analysis (cleaning open-text responses and charting sentiment) and financial reporting (quarterly revenue roll-ups). Your data warehouse keeps the heavy lifting, and this handles the 80% of tabular work your team actually runs, with no analyst queue in between.
Related pages in this workflow
Buyers usually compare these adjacent jobs before choosing an AI agent.
- AI Due Diligence Analyst: Hand it a company name and get a brief you can trust. Founders, funding and litigation flags each come with a citation behind them.
- AI Competitive Intelligence Analyst: The whole market, read for you. It watches competitor pricing, changelogs and job boards and drops a cited brief the moment something moves.
- AI Equity Research Analyst: Hand it a ticker and get a cited brief built from the 10-K, the latest call and live multiples. Every claim links to its source.
- AI Brand Monitoring Analyst: It reads the whole thread behind each mention, checks the sites you watch each morning, and briefs you on what changed overnight.
- AI Grant Research Analyst: It finds the grants you actually qualify for. It reads the RFP, checks your eligibility and hands you a sourced one-pager with the ask and deadline.
- AI Academic Research Analyst: It reads the full papers, past the abstract, and writes a synthesized brief with inline citations, source links, and contradictions flagged.
- AI Healthcare Research Analyst: Ask a clinical question and get an answer you can defend: a structured brief where every claim links to the paper, trial or guideline.
- AI Research Analyst: Hand it a question and a deadline, get a brief that shows its work: figures, links, and the page each number came from.
Frequently asked questions
How big a dataset can it handle?
Hundreds of thousands of rows per datastore today. Bulk edits cap at 1,000 rows per operation, with pagination for larger jobs. Multi-GB logs belong in a warehouse.
Does it write SQL?
It writes the query so you don’t have to. Your agent turns your plain-English question into a filter and aggregation internally, and you never see or write SQL.
Can I really undo a bulk edit a week later?
Yes. Every bulk operation snapshots the prior state. You have 90 days to roll back by operation ID or by fuzzy description (*“undo the email normalization from Tuesday”*).
What chart types are supported?
Bar, line, pie, stacked bar and data tables today. Charts export as PNG to Drive or embed inline in reports. More chart types are on the roadmap.
Can I connect to a live database?
Yes, through REST. With the http_request and credential tools your agent can query any REST API. Native Postgres/MySQL connectors are on the roadmap.
Does it replace a BI tool?
For ad-hoc exploration and cleanup, yes. For dashboards that dozens of people watch daily, pair it with Metabase or similar.
How is this different from the Expense Tracker or Budget Agent?
Those two are built for money flow. Data Analyst handles any tabular data, in any domain, with any schema.
AI research analysts by field
One research agent that searches, reads and cites. Point it at the sources and questions your field cares about.
- AI Research Analyst (hub): Hand it a question and a deadline, get a brief that shows its work: figures, links, and the page each number came from.
- AI Academic Research Analyst: It reads the full papers, past the abstract, and writes a synthesized brief with inline citations, source links, and contradictions flagged.
- AI Brand Monitoring Analyst: It reads the whole thread behind each mention, checks the sites you watch each morning, and briefs you on what changed overnight.
- AI Competitive Intelligence Analyst: The whole market, read for you. It watches competitor pricing, changelogs and job boards and drops a cited brief the moment something moves.
- AI Due Diligence Analyst: Hand it a company name and get a brief you can trust. Founders, funding and litigation flags each come with a citation behind them.
- AI Equity Research Analyst: Hand it a ticker and get a cited brief built from the 10-K, the latest call and live multiples. Every claim links to its source.
- AI Grant Research Analyst: It finds the grants you actually qualify for. It reads the RFP, checks your eligibility and hands you a sourced one-pager with the ask and deadline.
- AI Healthcare Research Analyst: Ask a clinical question and get an answer you can defend: a structured brief where every claim links to the paper, trial or guideline.
- AI Junior Consultant: Brief to deliverable in one session. It runs the research, sorts the findings, and builds the deck and the client-ready PDF.
- AI Legal Research Analyst: A memo where every claim has a link you can check: it searches the open web and reads the actual opinions and filings.
- AI Market Research Agent: A cited competitive briefing in your inbox on the cadence you set. It watches competitors, tracks trends, and puts a source behind every line.
- AI Market Sizing Analyst: TAM/SAM/SOM that shows its work. You get top-down and bottom-up, with every figure traced back to the source it came from.
- AI News Briefing Agent: One briefing every morning, built around your industry, your tickers and your topics. Scanned, summarized and waiting in your inbox.
- AI Policy Research Analyst: It reads the actual bill and hands back a sourced brief with section citations, agency dates and the dissenting view.
- AI Procurement Research Analyst: A sourcing request comes back as a cited supplier brief: shortlisted vendors, pricing signals and lead times, with a source behind each.
- AI Real Estate Market Analyst: A neighborhood read in one sourced doc: comps, days-on-market, price per square foot and inventory trends, in place of twelve open tabs.
- AI Research Agent: Hours of digging, back in minutes. It reads the full sources and hands you a structured report with every claim cited.