Agent skill

using-alpha-lab

How to use the Alpha Lab client in Wayfinder Paths for discovering alpha insights — scored tweets, chain flows, top APYs, and delta-neutral opportunities.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/using-alpha-lab

Metadata

Additional technical details for this skill

tags
wayfinder, alpha-lab, alpha, insights, twitter, chain-flows

SKILL.md

What you need to know (TL;DR)

Alpha Lab = Scored alpha insight feed

python
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

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