Dropr scores every trending product on curated, derived market intelligence, then decays the score as competition piles in, so a number that says Strong Buy actually means it. Query it in the dashboard, over REST, or from your AI agent via MCP.
Multi-source corroboration, scored by one engine
A product only earns a high score when several independent signals agree. One spike is noise. Cross-source corroboration is a trend.
Why Dropr
Every competitor shows you what's trending. Dropr tells you what's still worth selling, and hands the data to your tools.
When seller counts climb, the Opportunity Score falls, automatically. No competitor does this. A 'Strong Buy' on Dropr is a product the crowd hasn't caught yet, not one they're already drowning.
A score only goes high when several independent signals agree. One viral clip can't fake it.
Key-auth, cursor-paginated, rate-limited. Pipe winning products straight into your store, your sheet, or your own model.
curl dropr.shop/v1/search \ -H "x-api-key: drp_…" \ --data-urlencode "max_saturation=0.4"
Drop Dropr into Claude or any MCP client. Ask 'find me an un-saturated home product under $15 cost' in plain English.
“Find an un-saturated Home & Lighting product under $15 cost.”
Every product ships with estimated landed cost, suggested sell price, and the margin that survives ad spend, not vanity revenue.
The Opportunity Score, explained
See why each product earns its score, in plain language, including the honesty checks competitors skip.
Home & Lighting
Key-authenticated, cursor-paginated, and rate-limited per key. Filter on the same honest signals you see in the dashboard, including max_saturation and min_margin, and pull results straight into your store, sheet, or pipeline.
GET /v1/searchFilter & rank the full product databaseGET /v1/trendingToday's rising products by velocityPOST /v1/scoreA product's score and explanationGET /v1/products/{slug}Full record + score lineageGET /v1/competitorSeller counts & ad-spend signal per productcurl https://dropr.shop/api/v1/search \
-H "x-api-key: drp_live_a1b2c3d4" \
--data-urlencode "q=projector" \
--data-urlencode "category=Home & Lighting" \
--data-urlencode "max_saturation=0.4" \
--data-urlencode "min_margin=60" \
--data-urlencode "sort=opportunity" -G{
"data": [
{
"slug": "aurora-galaxy-projector",
"name": "Aurora Galaxy Projector",
"category": "Home & Lighting",
"opportunity_score": 84,
"classification": "strong_buy",
"trend_phase": "rising",
"saturation_score": 0.28,
"corroboration_count": 4,
"estimated_cost": 9.5,
"suggested_sell_price": 39.99,
"margin_percent": 76
}
],
"next_cursor": "eyJvIjoxfQ",
"total": 1
}Dropr ships a Model Context Protocol server. Add it to Claude, Cursor, or any MCP client and your agent can search, score, and compare products in natural language, with the saturation-aware numbers it can actually trust.
{
"mcpServers": {
"dropr": {
"command": "npx",
"args": ["-y", "@dropr/mcp"],
"env": { "DROPR_API_KEY": "drp_live_a1b2c3d4" }
}
}
}Exposes tools: search_products, score_signals, get_product, trending_today, competitor_lookup.
Heads up on credits. The MCP server gives your agent full access by default, so it can spend a lot of credits while it works, especially full product detail at 5 credits per call. You can disable specific tools per account in the dashboard so your agent only calls what you want.
{ "category": "Home & Lighting", "max_saturation": 0.3,
"min_margin": 70, "sort": "opportunity" }The honest comparison
Their ad-spy libraries are deeper today. But the rows that compound, honest scoring, an API, and an MCP server, are ours alone.
| Capability | Dropr | Dropship.io | Minea | Winning Hunter |
|---|---|---|---|---|
Curated product database | ||||
Saturation-aware scoring Score decays as sellers pile in | ||||
Transparent score lineage See exactly why a product scored X | ||||
Cross-source corroboration 5 sources must agree | ||||
First-class REST API | ||||
MCP server for AI agents | ||||
Ad spy library They lead here, for now | ||||
Sales tracker | ||||
Entry price / month Dropr undercuts on the daily-driver plan | $29 | $39 | $49 | $67 |
Competitor pricing and feature availability as publicly listed; subject to change. Comparison reflects our honest read, not theirs.
Pricing
No annual lock-in, no seat minimums. Every paid plan includes the API and MCP, with a monthly API credit allowance and a hard daily call cap. No overage, ever.
Closed beta, invite only. Pick a plan below, then request access. We send invites as spots open.
Billed monthly.
Taste the signal. No card required.
No live API (sandbox only).
For operators hunting the next winner daily.
REST API and MCP included.
Need more than Pro? Scale your monthly API credits and daily cap as you grow.
$80.00 per 1,000 credits (20% off the base $100.00 rate)
API credits / mo
Volume discount unlocks at 2,500 credits: $60.00 per 1,000 credits.
Your monthly API credit allowance, with REST API and MCP included and a higher hard daily call cap as you scale. No overage: top up anytime with credit packs.
REST API and MCP included, with a 1,000 hard daily call cap. No overage: top up with credit packs.
FAQ