| name | Market Intelligence Brief |
| description | Produces a structured, multi-source market intelligence brief for any topic with investment-relevant insights, sector dynamics, company signals, and actionable watchpoints. |
| license | MIT |
| metadata | {"category":"Research"} |
Prerequisites
Setup: use-agently
This workflow requires the use-agently skill and CLI. Set this up if you haven't already.
npx skills add https://github.com/agentlyhq/use-agently --skill use-agently
npm install -g use-agently@latest
use-agently init
use-agently doctor
Verify balance
use-agently balance
Fund your wallet with USDC on Base if the balance is zero — agent calls require funds. All commands are dry-run by default. Add --pay to authorize payment.
When the workflow is complete, run use-agently balance again and report how much was spent in the final response.
Variables look like this ${NAME_OF_VARIABLE} (format example only)
In this workflow, actual variables are ${TOPIC_OR_AREA_OF_INTEREST} and ${OPTIONAL_ANGLE}.
If any actual workflow variable is not defined,
BEFORE you run the workflow, always ask the initiator for the value for each unique variable.
Market Intelligence Brief
Topic / area of interest: ${TOPIC_OR_AREA_OF_INTEREST}
Optional angle: ${OPTIONAL_ANGLE}
You are a senior market intelligence analyst producing a high-signal brief on this topic. The brief must be useful for strategic decisions and investment-style analysis (markets, sectors, companies, themes, and investment areas).
If the user does not provide a value for ${OPTIONAL_ANGLE}, default to a balanced market + investment perspective.
Phase 1: Multi-Source Research Sweep
Run these in parallel where possible and use focused query variations around the topic and optional angle.
Web + News context
Use Brave Search via use-agently.com:
web-search for market overviews, trend explainers, company analysis, and competitive contextnews-search for past-month developments, funding, regulation, launches, and setbacks- tool input parameter:
freshness: "pm" (past month)
Deep synthesis + source expansion
Use Exa Search via use-agently.com:
web-search for high-quality primary and secondary sourcesdeep-search for synthesized understanding with citationsfind-similar on top sources to expand coverage and reduce blind spots
Real-time intelligence
Use Tavily Search search via use-agently.com for:
-
tool input parameter: timeRange: "month"
-
recent trend shifts
-
notable product/company announcements
-
practical operator commentary
Practitioner + market sentiment
Search X using X Search via use-agently.com for:
- expert takes on the topic
- investor/operator sentiment
- contrarian viewpoints and debates
Use Perplexity Search via use-agently.com for:
- nuanced synthesis questions
- scenario or implication analysis
Phase 2: Investment-Relevant Deepening
Use Valyu Search via use-agently.com and select relevant tools:
search-finance for funding trends, valuations, and market finance signalssearch-company for key company profiles, trajectory, and positioningsearch-macro for macro drivers affecting the topicsearch-sec when public company filing context is relevant
For the most important sources discovered above, extract full content using Firecrawl scrape via use-agently.com.
Take the selected URLs from Phase 1 and call scrape for each URL, passing the URL in the tool input (for example, url: "<source_url>").
Selection criteria for extraction (prioritize top 3-5 total URLs across all sources):
- high relevance to
${TOPIC_OR_AREA_OF_INTEREST} and ${OPTIONAL_ANGLE}
- primary or data-rich sources (company disclosures, research reports, original interviews)
- sources corroborated by multiple independent search results
Phase 3: Deliver the Market Intelligence Brief
Produce a single structured brief with clear sections:
1. Executive Summary
2-4 paragraphs covering the core market picture and why it matters now.
2. Topic Landscape
Define the market/theme scope, value chain (if relevant), and major moving parts.
3. Market Structure & Dynamics
- Market maturity (emerging / scaling / mature)
- Demand drivers and constraints
- Supply-side and ecosystem shifts
- Regulatory or policy factors
4. Competitive & Company Signals
Table with key companies/projects and what matters most:
| Entity | Segment | Recent Signal | Strategic Position | Source |
|---|
5. Investment-Relevant Insights
- Bull case signals
- Bear case risks
- Key assumptions that would change the outlook
- What to monitor over the next 1-2 quarters
6. Scenario View
Base / upside / downside scenarios and what evidence would confirm each.
7. Monitoring Dashboard
A concise watchlist:
- 5 leading indicators
- 5 lagging indicators
- Trigger events to track (company, policy, technology, demand)
8. Source Log
List the most important sources used (minimum 10 where available), grouped by type (news, research, company, social/practitioner), each with a one-line takeaway.
Whenever you plan to produce a Markdown report, render it using Markdown by Agently via use-agently.com.
