Dropr scores every trending product on curated multi-source signal, 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.
Bearer-auth, cursor-paginated, rate-limited. Pipe winning products straight into your store, your sheet, or your own model.
curl dropr.shop/v1/search \ -H "Authorization: Bearer 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
Six weighted dimensions build a base score; then we apply two honesty modifiers competitors skip, saturation decay and cross-source corroboration, to land the public 0 to 100 number.
Home & Lighting
Bearer-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 velocityGET /v1/scoreScore arbitrary signals on demandGET /v1/products/{slug}Full record + score lineageGET /v1/competitorSellers & ad presence per productcurl https://dropr.shop/api/v1/search \
-H "Authorization: Bearer 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,
"signals": ["demand_velocity", "seller_density", "content_traction", "ad_presence"],
"estimated_cost": 9.5,
"suggested_sell_price": 39.99,
"margin_percent": 76,
"score_breakdown": {
"trend_velocity": 0.84,
"margin_potential": 0.81,
"competition": 0.79,
"content_potential": 0.93,
"shipping": 0.78,
"category_bonus": 0.80
}
}
],
"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.
{ "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 | $19 | $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. The API and MCP are metered, so you only pay for the calls your agents and pipelines actually make.
Closed beta, invite only. Pick a plan below, then request access. We send invites as spots open.
For operators hunting the next winner daily.
Includes 50 free API calls / mo.
Pick your volume. The price scales with you.
$0.06 per lookup at this volume
lookups / mo
Volume discount unlocks at 5,000 lookups: $0.05 per lookup.
Includes 100 free API calls / mo to try the API and MCP.
Pipe Dropr into your stack and your agents.
| Calls / mo | Per call |
|---|---|
| 0 to 1k | $0.10 |
| 1k to 10k | $0.08 |
| 10k to 50k | $0.06 |
| 50k+ | $0.04 |
Paid plans include free monthly API calls to try it first.
FAQ