← Back to Blog

AI Financial Research Agent: From Company Briefing to Telegram in One Prompt

Anthropic just released 10 ready-to-run agent templates for financial services — pitchbook builders, KYC screeners, valuation reviewers, and more. Here's how to build your own financial research agent on Telegram that does the same thing, for the companies and markets you care about.

May 6, 2026

        "AI agents are only as good as the data and context they can access."
        — Anthropic, announcing agents for financial services and insurance
      

On May 5, 2026, Anthropic went all-in on financial AI agents — ten production-ready templates covering pitch building, market research, valuation review, KYC screening, month-end closing, and more. Claude now integrates directly with Excel, PowerPoint, Word, and Outlook through Microsoft 365 add-ins, and connects to FactSet, S&P Capital IQ, PitchBook, Morningstar, and a dozen other market data platforms.

The post hit #10 on Hacker News within hours, and for good reason: financial services spend an estimated $200 billion annually on research, compliance, and reporting. The industry is ripe for AI automation — but most of the conversation has been about enterprise deployments with dedicated teams and six-figure budgets.

What if you could get 80% of the same value — automated company research, market intelligence, valuation context, and competitive briefings — from a Telegram prompt, no enterprise contract required?

What a Financial Research Agent Actually Does

A financial research agent automates the most time-consuming part of market intelligence: gathering, filtering, and contextualizing financial data. Instead of opening eight tabs to check SEC filings, earnings transcripts, competitor news, valuation multiples, and sector reports, you tell the agent what you care about and it delivers a structured briefing.

Here's what a good financial agent covers:

Capability	What It Does	Anthropic Template Equivalent
Company profiling	Research revenue, margins, growth, and competitive position	Pitch Builder
Earnings monitoring	Read transcripts, flag material changes, update thesis	Earnings Reviewer
Valuation context	Compare multiples, check peer comps, flag divergence	Valuation Reviewer
Market scanning	Track sector news, regulatory changes, competitor moves	Market Researcher
Meeting prep	Assemble client briefs ahead of earnings calls	Meeting Preparer

The enterprise templates from Anthropic are impressive — but they require Claude Managed Agents, Microsoft add-in deployments, and governed data connectors. For individual investors, analysts at small firms, or anyone who wants useful financial intelligence without the infrastructure, there's a simpler path.

Build Your Own Financial Research Agent

The prompt below turns any OpenClaw-powered Telegram bot into a financial research analyst. Paste it once, tell it your coverage list, and get structured briefings delivered to your phone.

Role: You are a financial research analyst. You specialize in company analysis, market intelligence, and valuation frameworks. Your briefings are structured, cite sources, and flag both opportunities and risks. Core mission: Monitor and research companies, sectors, and market developments. Deliver structured briefings that save the user hours of reading. When given a company ticker or name: 1. Search for the latest financials (revenue, margins, EPS, guidance) 2. Identify the business model and competitive moat 3. Check recent material events (earnings, M&A, regulatory, leadership) 4. Flag risks: legal exposure, competitive pressure, macro sensitivity 5. Provide forward-looking context: consensus estimates, analyst sentiment Briefing format (use this structure): 📊 [Company Name — Ticker] Price: $XXX | Market Cap: $XXB ━━━━━━━━━━━━━━━━━━ Financial Snapshot - Revenue (TTM): $XXB, growth Y/Y: X% - Gross Margin: XX% | Operating Margin: XX% - EPS (diluted): $X.XX, beat/miss by $X.XX Business Overview — 1-2 sentences on what they do and their competitive position Recent Developments — Bullet list of material events in the last 30 days Key Risks — Top 2-3 risks ranked by likelihood Valuation Context - P/E: XX vs sector XX - EV/EBITDA: XX vs sector XX - Verdict: [Overvalued / Fair / Undervalued] relative to peers Bottom Line — One sentence verdict: action signal or watch Default coverage list (edit as needed): - Mag 7: AAPL, MSFT, GOOGL, AMZN, META, NVDA, TSLA - AI infrastructure: ANET, SMCI, CRWD, PANW - Fintech: SQ, COIN, SOFI, PLTR - Semis: AMD, INTC, TSM, MU Rules: - Always cite sources (SEC filing, earnings transcript, analyst note, news link) - Separate confirmed facts from speculation - If data is stale (>7 days old), say so - Flag consensus changes: "3 analysts raised targets this week" - Never give investment advice — state facts and let the user decide - Present conflicting viewpoints when analysts disagree - Highlight red flags with ⚠️ - Keep briefings under 600 words unless the user asks for depth How to start: Reply with: "Ready. Send me a ticker, a sector, or say 'daily briefing' for your default coverage list."

💡 Pro tip: Customize the "Default coverage list" section with the companies you actually track. If you're focused on Chinese tech, healthcare, or renewable energy — swap the list. The agent adapts without changing the rest of the prompt.

How to Use It

Deploy an OpenClaw agent on GetClawCloud — one click, no server setup
Paste the prompt above into your Telegram bot, then send "AAPL" or "daily briefing"

That's it. Your first company briefing arrives in seconds. For recurring market intelligence, tell the agent "set a daily briefing for my default list" — OpenClaw's cron scheduler handles the rest.

Real Examples: What You Get

Send: "NVDA"

📊 NVIDIA — NVDA
Price: $894 | Market Cap: $2.23T

Financial Snapshot
— Revenue (TTM): $60.9B, growth Y/Y: 152%
— Data Center revenue: $47.5B (78% of total)
— EPS: $4.02, beat consensus by $0.35

Recent Developments
— Blackwell B200 ramping, 2x performance uplift vs H100
— China export controls tightening ⚠️
— 2 analysts raised price targets to $1,100+

Bottom Line: Strong execution but export risk warrants monitoring. Fairly valued at 50x forward earnings given growth trajectory.

Send: "daily briefing"

📋 Daily Market Briefing — May 6, 2026

Market Overview
— S&P 500 +0.3% | NASDAQ +0.7% | VIX at 14.2
— Treasury yields: 10Y at 4.38% (-2bps)

Your Coverage Movers
— NVDA +2.1%: Blackwell B200 datacenter orders cited by Morgan Stanley
— TSLA -1.8%: EU announces tariff investigation into Chinese EV subsidies
— CRWD +4.3%: Q1 earnings beat, raised guidance

⚠️ Watch Items
— GOOGL: DOJ antitrust remedy hearing tomorrow
— MU: Foxconn warning on memory demand slowdown

        The difference between this and a Bloomberg terminal? Your agent doesn't
        drown you in data — it reads everything, then tells you what matters.
        Context, not volume.
      

Going Deeper: Multi-Agent Financial Stack

Want to replicate all 10 Anthropic templates? Deploy multiple agents, each with a focused prompt:

Agent 1: Deal Finder — Screens M&A targets, acquisition candidates, and private company rounds. See the AI Deal Finder Agent guide.
Agent 2: Market Monitor — Tracks sector news, regulatory changes, and competitive moves across your coverage list.
Agent 3: Earnings Watcher — Monitors earnings calendars, reads transcripts overnight, and flags surprises before the market opens.
Agent 4: Sector Researcher — Runs deep dives into subsectors, competitive landscapes, and thematic trends. See the Auto Research Agent guide.

Each runs on its own cron schedule, all deliver to the same Telegram chat. You build a private research desk for the cost of a coffee subscription.

Why This Beats Enterprise Alternatives

	Your Telegram Agent	Enterprise Solutions
Setup time	2 minutes	2-6 months
Cost	~$5-10/month	$10K+/year per seat
Coverage	Any public company you name	Licensed terminal data
Customization	Edit the prompt, get different output	Professional services engagement
Delivery	Telegram (phone, desktop, web)	Dedicated app or terminal
Data freshness	Web-search powered (real-time)	Feed-dependent (latency varies)

⚠️ Important disclaimer: This agent provides research assistance, not investment advice. Always verify critical data points against primary sources. No agent — enterprise or otherwise — replaces human judgment in financial decision-making.

Getting Started

Two minutes. Here's the path:

Deploy an OpenClaw agent on GetClawCloud — one click, no server setup required
Paste the financial research prompt into your Telegram bot, then send a ticker or "daily briefing"

That's it. Your first company briefing lands in seconds. Your full daily market digest arrives every morning. No terminal, no data license, no enterprise deal.

        The financial industry is spending $200B a year on research that AI
        agents can now automate. The question isn't whether this will change how
        markets are monitored — it's whether you'll have your own agent before
        your competitors do.
      

Deploy Your Financial Research Agent

Start on GetClawCloud in 60 seconds. No servers, no DevOps, no credit card required to try.

Deploy on GetClawCloud →