Reference
Dropr Documentation
The complete guide to product intelligence, the Opportunity Score model, the REST API, and the MCP server. Built for operators and agents.
Getting Started
Getting Started
Create your account, understand the credit model, and start finding opportunities in minutes.
- Account tiers and lookup allowances
- Credit model overview
- First steps in the dashboard
Scoring Model
Scoring Model
Every product gets a single 0 to 100 Opportunity Score that is saturation-aware and corroborated across sources. Learn what it means and how to act on it.
- What the Opportunity Score measures
- Why it is saturation-aware
- Reading the four classifications
- Filtering and sorting to find winners
The score and why, in plain language. Open to everyone, no account needed.
# POST /api/v1/score -> the score you can act on
{
"slug": "posture-corrector-pro",
"opportunity_score": 87,
"classification": "strong_buy",
"trend_phase": "emerging",
"margin_percent": 64.2,
"saturation_score": 0.18,
"corroboration_count": 3,
"explanation": [
"Demand is accelerating and the product is early in its lifecycle.",
"Healthy margin at the suggested sell price.",
"Low competition in the primary channel.",
"Market saturation is low, so the opportunity is not yet crowded."
]
}Dashboard
Dashboard Guide
The intelligence terminal: product catalog, trend history, score breakdown, competitive context, watchlist, and API key management.
- Filter panel and compound search
- Score explainer with per-dimension bars and lineage
- Signal history chart (13-week Opportunity Score vs. saturation)
- Watchlist and alert thresholds
REST API
REST API Reference
Programmatic access to the full product database, scores, trend data, and competitive intelligence via a JSON API.
- API-key authentication (x-api-key header; drp_live_ and drp_test_ keys)
- Endpoints: search, trending, score, competitor, product detail
- Rate limits and credit costs per endpoint
- Cursor pagination and error envelope
Example response. Open to everyone, no account needed.
# GET /api/v1/search?classification=strong_buy&max_saturation=0.4&limit=2
# x-api-key: drp_live_...
{
"data": [
{
"id": "f3a1c0e2-9b44-4d77-8e21-7c0a5b1d9e33",
"slug": "posture-corrector-pro",
"name": "Posture Corrector Pro",
"opportunity_score": 87,
"classification": "strong_buy",
"trend_phase": "emerging",
"margin_percent": 64.2,
"saturation_score": 0.18,
"corroboration_count": 3
},
{
"id": "a7d2e9f4-1c88-4b02-9f63-2e5c8a0b4d11",
"slug": "aurora-galaxy-projector",
"name": "Aurora Galaxy Projector",
"opportunity_score": 84,
"classification": "strong_buy",
"trend_phase": "rising",
"margin_percent": 68.0,
"saturation_score": 0.24,
"corroboration_count": 4
}
],
"next_cursor": "eyJpZCI6Ii4uLiJ9",
"total": 142
}MCP Server
MCP Server
Connect Dropr to Claude, Cursor, Cline, Zed, or any MCP-capable AI agent with a single configuration block.
- npx install: no separate setup needed
- Five agent-ready tools (search, trending, product, score, competitor)
- SSE transport for server-hosted clients
- Credit accounting: MCP calls share your API credit pool
Credits & Billing
Credits & Billing
Lookup credits, API credits, plan tiers, volume pricing, and overage handling - all in one place.
- Lookup vs. API credit pools (separate, never cross-draw)
- Build Your Own volume tier table
- Billing period discounts (monthly, biannual, annual)
- Usage visibility and overage behavior
FAQ
FAQ
Common questions about the scoring model, data sourcing, the credit system, and beta access.
- What 'saturation-aware' means in practice
- Data sourcing and freshness
- Scoring arbitrary signals via the API
- Beta access and billing timeline