Analyst Agent — Autonomous Research & Monitoring
Pricing
from $154.00 / 1,000 research report delivereds
Analyst Agent — Autonomous Research & Monitoring
Give it a question; get a structured, cited analyst-grade report. Plans sub-questions, researches via live web search, synthesizes with source URLs. Monitor a topic for changes. Callable by any AI agent. Actively maintained. · More no-code data tools → datatools-hub.vercel.app
Pricing
from $154.00 / 1,000 research report delivereds
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Fredrik Hansson
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Give it a question (or a company, market or topic) and get a structured, cited analyst-grade report. It plans sub-questions, researches each via live web search, and synthesizes the findings with source URLs on every claim. Point it at a previous run and it reports what changed = recurring monitoring. Callable by any AI agent via Apify's MCP server.
Unlike a generic chat "deep research" answer, this returns a stable, reliable output schema with per-claim citations that your agents and pipelines can depend on.

🔗 Pair it with your scraper
Running Google News Scraper (easyapi/google-news-scraper), Yahoo Finance Scraper (architjn/yahoo-finance) or any topic/company scraper to collect raw material? This is the layer that reads it and answers the actual question — ask about the company, market or topic you just scraped and get a structured, cited report your agents and pipelines can depend on. Works alongside any news, finance or web scraper.
Quick start
- Fill in the input — set the fields in the input tab (prefilled with a working example).
- Click Start — the Actor runs and writes one record per item to the dataset.
- Get your data — export to JSON, CSV or Excel, or pull it via the API.
What it does
- Plans the question into focused sub-questions (depth controls how many)
- Researches each via live web search, collecting source URLs
- Synthesizes a structured report: executive summary, sections (with sources), key findings (with sources), key players, risks, conclusion
- Monitors — with a baseline, reports what's new/changed since the last run on the same question
Input
| Field | Type | Description |
|---|---|---|
query | string | The research question / company / market / topic. Required. |
depth | string | brief (3), standard (5) or deep (8 sub-questions). |
baselineDatasetId | string | A previous run's dataset ID → report what changed. |
{ "query": "What is the competitive landscape for AI note-taking apps in 2026?", "depth": "standard" }
Output
One report record: the structured report (summary / sections / findings / players / risks / conclusion), the full sources[] list, the sub-questions, and changesSinceBaseline.
Pricing (pay-per-event — charged only on a delivered report)
| Event | When | Price |
|---|---|---|
research-delivered | per report (brief / standard depth) | $1.50 |
deep-report-delivered | per report (deep depth) | $6.00 |
monitoring-update | per re-run that finds changes vs. baseline | $0.50 |
Who it's for
Founders, consultants, analysts, marketers — and AI agents that need a finished cited report as a tool.
Notes
- Requires an OpenAI API key (
OPENAI_API_KEY). - Listed as an MCP tool on Apify, so any agent can call it and get a reliable structured report back.
Related actors
- Equity Analyst — AI Investment Research Agent — Pulls primary SEC EDGAR data (XBRL financials + filings + 10-K narrative) and writes a
- Argus — Autonomous Intelligence Agent — Describe a mission in plain English; Argus plans what to watch, gathers from public
- Google News Scraper — Search Google News for any topic and get the latest articles — title, source, date, link