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Analyst Agent — Autonomous Research & Monitoring

Pricing

from $154.00 / 1,000 research report delivereds

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Analyst Agent — Autonomous Research & Monitoring

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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Developer

Fredrik Hansson

Fredrik Hansson

Maintained by Community

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1

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4 hours ago

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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.

Analyst Agent — Autonomous Research & Monitoring — input and sample output

🔗 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

  1. Fill in the input — set the fields in the input tab (prefilled with a working example).
  2. Click Start — the Actor runs and writes one record per item to the dataset.
  3. Get your data — export to JSON, CSV or Excel, or pull it via the API.

What it does

  1. Plans the question into focused sub-questions (depth controls how many)
  2. Researches each via live web search, collecting source URLs
  3. Synthesizes a structured report: executive summary, sections (with sources), key findings (with sources), key players, risks, conclusion
  4. Monitors — with a baseline, reports what's new/changed since the last run on the same question

Input

FieldTypeDescription
querystringThe research question / company / market / topic. Required.
depthstringbrief (3), standard (5) or deep (8 sub-questions).
baselineDatasetIdstringA 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)

EventWhenPrice
research-deliveredper report (brief / standard depth)$1.50
deep-report-deliveredper report (deep depth)$6.00
monitoring-updateper 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.