AI Data Analyst Agent for teams without a data team
A data team without the headcount: point it at a CSV or Sheet and ask in plain language — it cleans, charts, and answers, with full undo.
Upload a CSV or point at a Google Sheet. Your agent imports it into a structured datastore, cleans messy entries with full undo support, renders charts on request, and answers follow-up questions in plain language.
Your AI data analyst — datastores, cleanup, and charts
Most teams have data they can’t use — customer exports, survey responses, product analytics, billing records — trapped in messy CSVs nobody has time to clean. Fasrad’s AI data analyst is built for that exact gap: import, clean, chart, query — without a data engineer in the room.
Upload a CSV or share a Google Sheet. Your agent creates a structured datastore (think typed database table) and offers to normalize it — fix malformed emails, collapse duplicates, standardize categories, fill obvious gaps. Every bulk edit has a dry-run preview and a 90-day undo window so mistakes are recoverable.
Strongest benefits:
- CSV + Sheet import — schema inferred, types assigned, indexes created automatically.
- Bulk cleanup with preview — regex replace, case normalize, dedupe, retag thousands of rows at once.
- 90-day undo window — every batch edit snapshotted; roll back by description or operation ID.
- Chart rendering — bar / line / pie / table from natural language (*“revenue by region, last 4 quarters”*).
- Conversational queries — ask in plain English; your agent writes the filter and returns results + a chart.
The bulk edit + undo combination is unique to Fasrad. Nothing in the spreadsheet + AI chatbot world offers preview-before-commit with content-hashed rollback. You can retag 10,000 customers, see it’s wrong the next day, and undo it by saying *“roll back yesterday’s category retag.”*
Works for product analytics (events from CSV), CRM cleanup (deduping thousands of contacts), survey analysis (cleaning open-text responses + charting sentiment), financial reporting (quarterly revenue roll-ups). Not a replacement for a dedicated data warehouse — but for the 80% of tabular work your team actually runs, it removes the analyst bottleneck.
Related pages in this workflow
These pages cover the adjacent jobs buyers usually compare before choosing an AI agent.
- AI Due Diligence Analyst — Hand it a company name, get a brief you can trust: founders, funding, and litigation flags, each with a citation behind it.
- 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, get a cited brief — built from the 10-K, the latest call, and live multiples, every claim linked to its source.
- AI Brand Monitoring Analyst — Reads the whole thread, not the headline: it checks the sites you watch each morning and briefs you on what actually changed overnight.
- AI Grant Research Analyst — 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 papers, not just the abstracts — a synthesized brief with inline citations, source links, and the contradictions flagged.
- AI Healthcare Research Analyst — Ask a clinical question, 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. Not intended for multi-GB logs — use a warehouse for that.
Does it write SQL?
Not for you. Your agent translates your plain-English question into a filter + aggregation internally; 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. Exports as PNG to Drive or embeds inline in reports. More chart types on the roadmap.
Can I connect to a live database?
Via the http_request + credential tools your agent can query any REST API. Native Postgres/MySQL connectors on the roadmap.
Does it replace a BI tool?
For ad-hoc exploration and cleanup, yes. For dashboards that dozens of people watch daily, no — pair with Metabase or similar.
How is this different from the Expense Tracker or Budget Agent?
Those are purpose-built for money flow. Data Analyst is generic tabular data — any domain, any schema.
AI research analysts by field
One research agent that searches, reads, and cites — pointed 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 papers, not just the abstracts — a synthesized brief with inline citations, source links, and the contradictions flagged.
- AI Brand Monitoring Analyst — Reads the whole thread, not the headline: it checks the sites you watch each morning and briefs you on what actually 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, get a brief you can trust: founders, funding, and litigation flags, each with a citation behind it.
- AI Equity Research Analyst — Hand it a ticker, get a cited brief — built from the 10-K, the latest call, and live multiples, every claim linked to its source.
- AI Grant Research Analyst — 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, 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 a single session: it runs the research, organizes 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 — competitors watched, trends tracked, a source behind every line.
- AI Market Sizing Analyst — TAM/SAM/SOM that shows its work — top-down and bottom-up, every figure traced back to the source it came from.
- AI News Briefing Agent — One briefing every morning, built around your world: your industry, your tickers, your topics — scanned, summarized, and waiting in your inbox.
- AI Policy Research Analyst — It reads the actual bill, not the press release — a sourced brief with section citations, agency dates, and the dissenting view.
- AI Procurement Research Analyst — A sourcing request, 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, inventory trends — instead 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.