Messari Alpha Scout logo

Messari Alpha Scout

Organization
moonpay
messari-alpha-scout

Alpha scouting workflow using Messari x402. Scans mindshare gainers, trending topics, and news to surface emerging narratives and high-momentum assets. Total cost ~$1.25 USDC per run.

Overview

Publishermoonpay
Repositoryskills
Skill namemessari-alpha-scout
Stars
112
Forks
30
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by moonpay on GitHub. Read the source before you install it.

Installation

Install the Messari Alpha Scout AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/moonpay/skills/tree/main/skills/messari-alpha-scout
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/moonpay/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/messari-alpha-scout .claude/skills/messari-alpha-scout
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Messari Alpha Scout in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Messari Alpha Scout on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Messari Alpha Scout is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Messari Alpha Scout Workflow

Goal

Surface emerging narratives and high-momentum assets by combining mindshare gainers, trending topics, news flow, and AI synthesis. Designed as a daily morning brief or on-demand alpha scan.

Total cost per run: ~$1.25 USDC on Base

Trigger phrases

  • "Find me alpha"
  • "What's trending in crypto?"
  • "What narratives are heating up?"
  • "Morning brief"
  • "What should I be watching today?"

Step 0 — Preflight: check balance

bash
mp token balance list --wallet main --chain base --json

Ensure at least $2.00 USDC on Base.


Step 1 — Mindshare gainers 24h (~$0.35)

bash
mp x402 request \
  --method GET \
  --url "https://api.messari.io/signal/v1/assets/mindshare-gainers-24h" \
  --wallet main \
  --chain base

Extract: top 5–10 assets with largest mindshare increases in the past 24h. Note the slugs for Step 4.


Step 2 — Mindshare gainers 7d (~$0.35)

bash
mp x402 request \
  --method GET \
  --url "https://api.messari.io/signal/v1/assets/mindshare-gainers-7d" \
  --wallet main \
  --chain base

Extract: assets with sustained mindshare growth over a week — these indicate forming narratives, not just noise.


Step 3 — Trending topics today (~$0.25)

bash
mp x402 request \
  --method GET \
  --url "https://api.messari.io/v1/current" \
  --wallet main \
  --chain base

Extract: today's top narratives and topic clusters. Cross-reference with Steps 1–2 to confirm narrative alignment.


Step 4 — News flow (~$0.55)

Pull recent news filtered to the top assets identified in Step 1:

bash
mp x402 request \
  --method GET \
  --url "https://api.messari.io/news/v1/news/feed?limit=20" \
  --wallet main \
  --chain base

Extract: headlines from the past 24h, note which assets appear repeatedly, identify catalysts (partnerships, upgrades, regulatory news).


Step 5 — AI narrative synthesis (~$0.25)

bash
mp x402 request \
  --method POST \
  --url "https://api.messari.io/ai/v2/chat/completions" \
  --body '{
    "model": "messari",
    "messages": [
      {
        "role": "system",
        "content": "You are a crypto alpha analyst. Given mindshare gainers, trending topics, and news, identify: 1) The top 3 emerging narratives, 2) Assets best positioned to benefit from each narrative, 3) Conviction level (high/medium/low) and why, 4) Key risks to watch."
      },
      {
        "role": "user",
        "content": "24h mindshare gainers: {step1_output}. 7d gainers: {step2_output}. Trending topics: {step3_output}. News: {step4_headlines}"
      }
    ]
  }' \
  --wallet main \
  --chain base

Full workflow script

bash
#!/bin/bash
# messari-alpha-scout.sh
# Runs a full alpha scan and saves results

WALLET="main"
CHAIN="base"
BASE="https://api.messari.io"
OUT="$HOME/.config/moonpay/research/alpha-$(date -u +%Y%m%d-%H%M%S)"
mkdir -p "$(dirname "$OUT")"

echo "=== [1/4] Mindshare Gainers 24h ==="
G24=$(mp x402 request --method GET \
  --url "${BASE}/signal/v1/assets/mindshare-gainers-24h" \
  --wallet "$WALLET" --chain "$CHAIN")
echo "$G24" > "${OUT}-gainers-24h.json"

echo "=== [2/4] Mindshare Gainers 7d ==="
G7D=$(mp x402 request --method GET \
  --url "${BASE}/signal/v1/assets/mindshare-gainers-7d" \
  --wallet "$WALLET" --chain "$CHAIN")
echo "$G7D" > "${OUT}-gainers-7d.json"

echo "=== [3/4] Trending Topics ==="
TOPICS=$(mp x402 request --method GET \
  --url "${BASE}/v1/current" \
  --wallet "$WALLET" --chain "$CHAIN")
echo "$TOPICS" > "${OUT}-topics.json"

echo "=== [4/4] News Feed ==="
NEWS=$(mp x402 request --method GET \
  --url "${BASE}/news/v1/news/feed?limit=20" \
  --wallet "$WALLET" --chain "$CHAIN")
echo "$NEWS" > "${OUT}-news.json"

echo ""
echo "Alpha scan saved to ${OUT}-*.json"
echo "Total cost: ~\$1.20 USDC"
echo ""
echo "Pass results to Messari AI for narrative synthesis (Step 5)"

Schedule as a daily morning brief

Schedule with cron (runs every day at 7:00 AM):

bash
# Add to crontab
(crontab -l 2>/dev/null; echo '0 7 * * * ~/.config/moonpay/scripts/messari-alpha-scout.sh # messari:alpha') | crontab -

Output format

Present to the user as:

## Alpha Brief — [Date]
**Cost:** ~$1.20 USDC | **Chain:** Base

### Emerging Narratives

**1. [Narrative Name]** — Conviction: HIGH/MEDIUM/LOW
Assets: [token1], [token2]
Signal: [why this narrative is heating up]
Risk: [key risk]

**2. [Narrative Name]** — Conviction: HIGH/MEDIUM/LOW
...

### Assets to Watch
| Asset | 24h Mindshare Δ | 7d Mindshare Δ | Catalyst |
|-------|----------------|----------------|---------|
| BTC   | +12%           | +8%            | ETF inflows |
| ...   |                |                |         |

### Key News
- [headline 1]
- [headline 2]
- [headline 3]

Next steps after alpha scan

Once you identify high-conviction assets:

bash
# Deep dive on a specific token
# → use messari-token-research skill

# Act on the research
mp token swap \
  --wallet main \
  --chain base \
  --from-token usdc \
  --from-amount <AMOUNT> \
  --to-token <TOKEN>

Notes

  • Overlap between 24h and 7d gainers = stronger signal (not just noise)
  • Topics in Step 3 that match assets in Steps 1–2 = high-conviction narrative plays
  • Run daily before market open for best effect
  • Payments in USDC on Base (--chain base)

Related skills

  • messari-x402 — Core endpoint reference
  • messari-token-research — Deep dive on any asset surfaced by the scan
  • messari-deep-research — Full async report on a narrative or asset
  • moonpay-swap-tokens — Execute trades after research
  • moonpay-budget-agent — Cap daily research spend
  • moonpay-trading-automation — Automate the daily brief via cron/launchd

Frequently asked questions

What does the Messari Alpha Scout AI skill do?

Alpha scouting workflow using Messari x402. Scans mindshare gainers, trending topics, and news to surface emerging narratives and high-momentum assets. Total cost ~$1.25 USDC per run.

Why use Messari Alpha Scout on TypingMind?

Because you install it once and use it with any model. Messari Alpha Scout is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Messari Alpha Scout in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/moonpay/skills/tree/main/skills/messari-alpha-scout. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Messari Alpha Scout?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Messari Alpha Scout?

As many as you like. As long as a model supports skills, you can use Messari Alpha Scout with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Messari Alpha Scout AI skill free?

Yes. It is published on GitHub by moonpay under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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