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Exclusive Methodology
Sorftime isn't just a data API — it's a recommendation engine built on 9 years of seller data and proprietary algorithms. These features don't exist in any other marketplace intelligence tool.
Every traditional seller tool works the same way:
Filters: minPrice ≥ $10 AND maxReviews ≤ 500 AND minRating ≥ 4.0
Problem: A $9.99 product with 800 sales/month and 4.6 stars? Deleted. Invisible.
Sorftime uses composite index full-ranking. Every product scores on every dimension. A product that's "weak" on one dimension but outstanding on others still surfaces. No product gets eliminated by a single threshold. The seller sees the complete ranking and makes their own decision.
This sounds simple — it's not. Building stable composite indices that work across 40+ marketplaces and millions of products requires proprietary weighting models calibrated against real seller outcomes.
What it is: A composite recommendation score that ranks products by "hidden profit potential" — how likely a product is to deliver strong margins with low entry barriers, low ad competition, and manageable review thresholds.
What it isn't: A per-dimension breakdown calculator. HPI is a relative recommendation score, not an absolute metric. Higher = better overall profile. The algorithm looks at what traditional filtering misses.
Why it's exclusive: Most tools show you what you asked for (filter by price, sort by sales). HPI shows you what you didn't ask for — products that are profitable but invisible under conventional filtering rules. Think "low reviews but solid sales," "low ad spend but healthy margins," "mediocre rating but high repeat purchase rate."
Where: potential_product MCP tool → Invisible Profit methodology card
Example: A non-slip yoga mat at $29.99 with 4.6 stars, only 13 reviews, but 106 units/month — HPI 13.44. Low review barrier, low ad competition, strong margins. Traditional tools would filter this out because "reviews < 50." HPI catches it.
What it is: A multi-dimensional composite score for evaluating low-price marketplace opportunities on Amazon Haul. Assesses 12 dimensions across demand, competition, costs (capital/logistics/operations/after-sales), and margin potential — compressed into a single "Low Price Market Index" score.
Why it's exclusive: Most tools treat "low price" as a simple price filter. The Low Price Index evaluates whether a low-price category is viable as a business — factoring in not just demand and competition, but the full cost structure (logistics, operations, returns/after-sales) that determines whether thin-margin products can actually be profitable.
Key dimensions: Market demand · market trend · seller profile · monopoly/competition · market volatility · new product opportunity · capital cost · logistics cost · operations cost · after-sales cost · margin headroom
Where: Multi-dimension Market Selection → Low Price Index mode
What it is: Identifies products selling at significantly different prices across Amazon and Walmart — arbitrage opportunities that exist because few sellers operate on both platforms simultaneously.
Why it's exclusive: Sorftime is one of the only platforms with deep data coverage on both Amazon (14 sites) and Walmart (US). Cross-platform price gap analysis requires consistent product matching across marketplaces — a data engineering problem most tools can't solve.
Where: Cross-Platform Gap methodology card → Cross-Platform Overview
Each card is a weighted composite index that full-ranks opportunities. No hard thresholds. No blind spots.
| Category | Cards | Exclusive Indices |
|---|---|---|
| Comprehensive (8) | Market Panorama, Competitor Deep-Dive, Keyword Strategy, Blue Ocean Finder, Listing Audit, Review Mining, Pricing Position, Traffic Structure | Hidden Profit Index ⭐, Pain Point Severity Index |
| Tactical (12) | Invisible Profit, Low-Review Winner, Brand Gap Entry, Keyword Scatter, Lightweight Profit, Seasonal Position, Variant Gap, New Product Burst, FBM Arbitrage, Cross-Platform Gap, Poor Listing Grab, Price Band Sweetspot | Product Potential Index ⭐, Cross-Platform Price Gap Index ⭐, Brand Monopoly Vulnerability Index |
See Methodology Overview for the full breakdown.
| Traditional Tool | Sorftime |
|---|---|
| You set filters → tool shows matches | You describe your goal → AI agent applies methodology cards → scores everything |
| Hard thresholds hide borderline products | Full-ranking — you see every candidate ranked |
| Single-dimension sorting (by sales, by price) | Multi-dimension composite scoring |
| You figure out the analysis strategy | 20 pre-built analysis frameworks, each with weighted dimensions |
| "Here's the data" | "Here's the data + here's what it means + here's what to do next" |
Data: Amazon US "kitchen storage" | Tool: sorftime-seller-agent
This is not a methodology comparison. It's a demonstration of what HPI finds that a seller doing manual research would likely miss.
Running potential_product(search_name="kitchen storage") with NO filters — full ranking by composite potential:
| HPI Rank | Product | Price | Sales/mo | Reviews | What Makes It Interesting |
|---|---|---|---|---|---|
| #1 | 3-Tier Under Sink Organizer, Metal Pull-out | $59.99 | 1,872 | 90 | Premium price point, strong volume, only 90 reviews — still early in growth curve. FBA fee ~$10 leaves margin room at this price. |
| #6 | Bamboo Cutting Boards Set of 3 | $43.49 | 230 | 42 | High AOV, only 42 reviews. If a seller can match quality at a similar or slightly lower price, the review barrier is almost nonexistent. |
| #7 | Berglander Vertical Dish Rack 14" | $8.99 | 444 | 73 | Low price but high volume — 444 units/month at $8.99 with only 73 reviews. May be a commodity product with thin margins, or may have a sourcing angle (check 1688). |
Each of these products falls outside a common manual research pattern:
- $59.99 organizer: A seller scanning the $20-40 range (where most kitchen products cluster) would never see it
- $43.49 cutting boards: Only 42 reviews — a seller filtering for "reviews >50" as social proof would skip it
- $8.99 dish rack: Below $10 — a seller filtering for "price >$15" to ensure margin would eliminate it
The point is not "filters are bad." It's that HPI uses a composite score to surface products that single-dimension sorting misses. A seller should see these, evaluate them, and decide — not have them hidden by a price slider.
- Methodology Overview — All 20 cards with descriptions
- 25 Sourcing Strategies — Complete product sourcing playbook
-
Amazon Overview — Key tools including
potential_product - Use Cases — Real seller scenarios using exclusive indices
- Glossary — Terminology reference
- 🆕 Closed-Loop Selection ← Full pipeline
- 📖 Case Study: Water Bottle ← Real data example
- Loop & Goal Templates ← 58 automation recipes