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amazon-business-research

Orchestrates a complete, evidence-based Amazon product/business opportunity research cycle — from niche demand intelligence through Amazon discovery, live validation, competition, VOC, differentiation, red team, economics, supplier, and IP — ending in a human decision. Use when the user asks to research a product opportunity, find a business idea worth building, evaluate an Amazon niche, or continue a research run already in progress. Wraps the existing deterministic Amazon-products engine via its `hunt` CLI; adds Claude Browser research, Reddit VOC, and Google Trends human-in-the-loop on top of it.

Data & Documents Listed

amazon-discovery

Use when running the actual Amazon product discovery funnel via `hunt discover`, after demand context is established, or directly if demand intelligence was skipped. Runs the zero-cost bulk discovery/filter/relevance pipeline and reports its output; hands qualifying candidates forward to deepen-start.

amazon-validation

Use when interpreting live-validation results for discovered candidates (RUN_MODE=REAL behavior, provider failures, evidence freshness/staleness) or when deciding whether to trust/re-verify a market snapshot before it feeds ranking. Use after amazon-discovery, before competition-analysis.

Web & Frontend Listed

browser-research

Use for systematic web research on a serious candidate (COMPETITOR_ANALYSIS state or later) to fill evidence gaps no automated provider can — customer complaints/praise beyond Amazon, competitor websites, alternative products, non-Amazon market context, regulatory/IP signals. Never for raw discovery-stage candidates.

competition-analysis

Use after amazon-validation, to run competitor autopsy and interpret concentration/dominance/lineage signals for a candidate. Drives `hunt deepen-start` and interprets its competitor_result output. Use before VOC/differentiation/red-team stages.

Data & Documents Listed

demand-intelligence

Use when researching whether a product niche/concept has real demand signal before committing further research budget to it. Generates precise Google Trends data requests, ingests human-supplied CSV exports, and reads the deterministic demand qualification the engine computes. Use before Amazon discovery for a new concept, or when deciding which of several concepts to prioritize.

differentiation

Use after VOC_ANALYSIS state to assess whether a candidate has a real, evidence-backed moat versus competitors. Drives differentiation-prepare/differentiation-submit.

Data & Documents Listed

economics

Use once a candidate reaches ECONOMICS_CHECK or later to gather cost/price assumptions (from the human or verifiable browser-observed supplier/marketplace data) and run them through the engine's deterministic economics calculator and stress tests. Never compute margin/ROI/breakeven yourself.

final-decision

use once a candidate has reached HUMAN_REVIEW (or you want an interim standing check at any point via hunt rank) to compile the full evidence-based report and present it to the human for their approve/reject decision. Never sets QUALIFIED itself.

ip-risk

use to research trademark/patent/design-patent risk for a promising candidate via legitimate public research (USPTO/trademark search, obvious brand conflicts), then record the result via hunt supplier-set --ip-status. Never claims legal clearance.

red-team

Use after DIFFERENTIATION_ANALYSIS state to adversarially attack a candidate before it reaches human review. Drives redteam-prepare/redteam-submit.

reddit-voc

Use for systematic Reddit research to find real customer pain points/praise for a candidate at COMPETITOR_ANALYSIS state or later, when no automated review-text provider is available. Feeds findings into hunt voc-add or the manual-VOC-completion path.

supplier-research

Use to research supplier feasibility for a promising candidate via legitimate web research, then record the human-confirmed result via hunt supplier-set. Never fabricates MOQ/pricing/certifications.