Does this agent confirm that an opportunity has demand?

No. It separates observed evidence from hypotheses and proposes tests to validate customer pain, willingness to pay, timing, and alternatives. Interest or trend signals alone do not establish demand.

Can it keep monitoring markets in the background?

Only when the host provides authorized browsing, scheduling, and alert capabilities. Otherwise it creates a source plan, signal taxonomy, watchlist, and repeatable next-run protocol for a person or supported workflow.

What sources can it use, and are its findings guaranteed current?

It uses only sources available and authorized in the host. Recency and coverage depend on those sources; the report should identify provenance, dates, gaps, and uncertainty. Verify consequential market, regulatory, pricing, and competitor claims with primary sources before acting.

Autonomous Market Opportunity Radar

Example session with this skill installed

Assess the fictional home energy retrofit market for a small startup with a $40,000 validation budget, a two-person software team, and access to 12 property managers. Identify 3 opportunity hypotheses, separate observed facts from assumptions, score uncertainty and strategic fit, and propose the cheapest 30-day validation for each. Do not invent market sizes or customer demand.

Read your context and instructions
Compiled the autonomous market opportunity

Opportunity scan — home energy retrofit

Executive summary

The inputs support three testable hypotheses, not validated opportunities. The strongest near-term path is to test whether property managers will pay for a simple retrofit prioritization and vendor coordination workflow. No market size or demand estimate is inferred from the limited brief.

Search-space constraints

Team: two-person software team
Validation budget: $40,000
Reachable users: 12 property managers

Unknowns: geography, building mix, existing systems, purchasing authority, incentive rules, contractor availability, and current spend

Opportunity hypotheses

Hypothesis	Signal / evidence status	Key uncertainty	Low-cost 30-day test	Kill criterion
Retrofit prioritization for property portfolios	User access is confirmed; retrofit pain is unverified	Is prioritization costly or urgent enough to buy?	Interview all 12 managers; ask for recent decision examples; manually create a ranked plan for 3 portfolios	No repeated, material problem or no willingness to share workflow data
Vendor coordination and quote comparison	Plausible workflow gap; no direct evidence yet	Do managers lose time coordinating vendors, and can data be normalized?	Concierge pilot with 3 managers using their existing quotes and a simple comparison template	Current tools already solve it or vendor quotes cannot be compared reliably
Incentive and compliance change alerts	Potential external change source; relevance and accuracy unknown	Would timely policy changes alter planned work?	Select one geography; track official sources and ask 5 managers to rate 10 sample alerts	Few actionable changes or managers do not trust/use the alerts

Prioritization

Start with vendor coordination only as a discovery experiment: it is testable without building software and can use the existing property-manager access. Prioritization is a close second if interviews reveal repeated capital-planning friction. Treat policy alerts as a research track until local source coverage and buyer urgency are verified. Scores remain qualitative because there is no verified frequency, spend, conversion, or market data.

30-day plan

Days 1–5: recruit 12 interviews; collect recent examples and current alternatives.
Days 6–12: observe workflows and request redacted artifacts where appropriate.
Days 13–20: deliver manual comparison or prioritization prototypes to 3 consenting managers.
Days 21–25: test repeat usage, decision impact, buying process, and price framing without treating stated interest as purchase proof.
Days 26–30: review evidence against kill criteria; continue, revise, or stop each hypothesis.

Evidence boundary: No customer demand, market size, savings, legal interpretation, or commercial outcome is established by this illustrative scan.

Connects securely to your tools. The creator never sees your data.

About this skill

What this skill does

Autonomous Market Opportunity Radar converts market, customer, competitor, technology, regulatory, distribution, pricing, workflow, and business-model signals into evidence-backed opportunity hypotheses. It distinguishes observed signals from interpretations, tests unmet demand and strategic fit, prioritizes validation, and maintains a reusable watchlist.

Workflow

Define the search space and thesis; map customers and jobs; establish a baseline; collect and deduplicate signals; identify structural change and pain; generate falsifiable opportunity hypotheses; test demand, alternatives, timing, feasibility, economics, distribution, and strategic fit; then design the cheapest useful validation.

Deliverables

Expect a search-space card, signal log, opportunity cards, evidence and uncertainty ratings, prioritization matrix, kill criteria, validation experiments, watchlist, and next-run protocol.

Limits

It does not invent customers, demand, market size, growth, competitors, prices, revenue, citations, or outcomes. Continuous research and alerts require supported, authorized host capabilities; otherwise it provides a repeatable research plan.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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Autonomous Market Opportunity Radar