Using Alpha Lab

What you need to know (TL;DR)

Alpha Lab = Scored alpha insight feed

from wayfinder_paths.core.clients import ALPHA_LAB_CLIENT

# Search all insights (sorted by score)
await ALPHA_LAB_CLIENT.search()

# Filter by type
await ALPHA_LAB_CLIENT.search(scan_type="twitter_post", min_score=0.7)

# Text search
await ALPHA_LAB_CLIENT.search(search="ETH funding", limit=10)

# List available scan types
await ALPHA_LAB_CLIENT.get_types()

MCP quick access:

wayfinder://alpha-lab/search/_/all/_/_/20                          # Top 20 insights
wayfinder://alpha-lab/search/_/twitter_post/_/_/10                 # Top 10 tweets
wayfinder://alpha-lab/search/ETH/all/_/_/10                        # Search "ETH"
wayfinder://alpha-lab/search/_/all/2026-03-06T00:00:00Z/_/20       # Today's insights
wayfinder://alpha-lab/types                                        # List scan types

URI format: wayfinder://alpha-lab/search/{query}/{scan_type}/{created_after}/{created_before}/{limit}

• query: text search, _ for none
• scan_type: filter by type, all for none
• created_after / created_before: ISO 8601 datetime bounds, _ to skip
• limit: max results (default 20, max 200)

Critical gotchas:

• Client returns data directly (not tuples) — data = await ALPHA_LAB_CLIENT.search()
• Scores are 0-1 floats (1 = most insightful)
• MCP resource is sorted by score descending (highest first); use Python client for custom sort/pagination
• Max 200 results per call; use offset for pagination (Python client only)

When to use

• "What's the latest alpha?" / "Show me today's insights"
• "Any interesting tweets about ETH?"
• "What chain flows are happening?"
• "What are the highest-scored insights?"

Alpha Lab is self-contained for alpha requests. It already includes delta_lab_top_apy and delta_lab_best_delta_neutral scan types, so do NOT also query Delta Lab separately. Only use Delta Lab directly when the user asks for raw rates, historical timeseries, or detailed screening — not for "today's alpha".

How to use

• rules/what-is-alpha-lab.md - What Alpha Lab is and its scan types
• rules/high-value-reads.md - Core queries and MCP URIs
• rules/response-structures.md - Response shapes
• rules/gotchas.md - Common mistakes