An AI research analyst that does the reading, then shows its sources
Hand it a question and a deadline, get a brief that shows its work: figures, links, and the page each number came from.
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 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 Data Analyst Agent: 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.
- 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.
Hand it a question and a deadline, and get back a structured brief with figures, links, and the page each number came from.
Most research time goes to reading
Forty open tabs. A pricing page that loads its numbers in JavaScript, a PDF buried three links deep, and half of it copy-pasted into a spreadsheet before you can compare anything. By the time the table is built, the deadline is closer and you haven't started the synthesis.
This agent does that grunt work end to end. It runs the searches and opens each page in full, including the JS-heavy ones a scraper would miss. What it finds goes into a private datastore or a Google Sheet, one row per source, with the URL and the exact figure it pulled. A comparative question gets the comparison. A market scan gets the long list. You read the brief and skip the tabs.
What it produces:
- A cited summary where every claim links back to the page it came from
- A structured table of competitors, prices, funding rounds or headcounts, in a sheet you can keep editing
- A short list scored against criteria you set, with the reasoning per row
- A scheduled digest: 'run this same scan every Monday and email me what changed'
- Raw notes saved with @-mentions and backlinks so a follow-up question reuses the work
This page covers the general analyst. If you're doing competitive intelligence, VC deal sourcing, an academic literature review, market sizing, or due diligence, pick the version built for it below and the examples will match your workflow.
Related pages in this workflow
Buyers usually compare these adjacent jobs before choosing an AI agent.
- 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 Research Agent: Hours of digging, back in minutes. It reads the full sources and hands you a structured report with every claim cited.
- 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 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 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 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 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.
Frequently asked questions
Does it summarize search snippets, or read the actual pages?
It reads the actual pages. After searching, it opens each promising result in full and pulls figures from the live page. That includes sites that render content with JavaScript, which snippet-only tools miss entirely.
How do I know it didn't make a number up?
Every figure it records is stored next to the URL it came from, and the brief links each claim back to its source. A row without a source shows up as a gap. You can open any link and check it yourself.
Can it keep a research project going over weeks?
Yes. It writes findings to a persistent datastore or sheet and remembers the project's context, so a follow-up question a week later builds on the earlier work. You can also schedule it to re-run and report only what's new.
What about sources behind a login or in a PDF?
It reads PDFs and public pages. For a paywalled API or a private data source, give it the endpoint and credentials and it calls that directly. It reaches behind a login only when you've given it access.
Can it pull from a specific list of sites I trust?
Yes. Tell it which domains to prioritize or restrict to, and it weights its searches and browsing accordingly. You can also hand it a list of URLs to read directly and skip the search step.
How much does it cost?
Start with a 7-day free trial. Full access, no card needed. Then $49 per month. Setup takes about four minutes, and Fasrad is in public beta, so you can put it on a real research task before deciding.