An AI research analyst that does the reading, then shows its sources

AI research analysts by field

One research agent that searches, reads, and cites — pointed at the sources and questions your field cares about.

• 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 Data Analyst Agent — 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.
• 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.

Most research time is spent reading, not thinking

The slow part of a research task isn't the analysis — it's the forty open tabs, the pricing page that loads its numbers in JavaScript, the PDF buried three links deep, and copy-pasting half of it into a spreadsheet before you can compare anything. By the time the table is built, the deadline is closer and the synthesis still hasn't happened.

This agent does that grunt work end to end. It runs the searches, opens each page in full (including the JS-heavy ones a scraper would miss), and writes what it finds into a private datastore or a Google Sheet — one row per source, with the URL and the exact figure it pulled. When the question is comparative, it builds the comparison; when it's a market scan, it builds the long list. You read the brief, not the tabs.

What it actually produces:

• A cited summary where every claim links back to the page it came from
• A structured table — competitors, prices, funding rounds, 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 know your situation — competitive intelligence, VC deal sourcing, academic literature review, market sizing, or due diligence — pick the version built for it below and the examples will match your actual workflow.

Related pages in this workflow

These pages cover the adjacent jobs buyers usually compare before choosing an AI agent.

• 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 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 — 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 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 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 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, back as a cited supplier brief: shortlisted vendors, pricing signals, and lead times, with a source behind each.

Frequently asked questions

Does it just 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 — including 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. If a row has no source, you'll see the 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 instead of starting over. 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 can call that directly. It won't bypass logins it hasn't been given access to.

Can it pull from a specific list of sites I trust?

Yes — tell it which domains to prioritize or restrict to, and it will weight 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?

$49/month or $490/year — cancel anytime. Setup takes about four minutes, and Fasrad is in public beta, so you can put it on a real research task before deciding.