messari-deep-research

Start Messari deep-research jobs, poll status, and extract final reports.

110|29|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/moonpay/skills --skill messari-deep-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: messari-deep-research
Source: https://github.com/moonpay/skills/tree/main/skills/messari-deep-research
Command: npx skills add https://github.com/moonpay/skills --skill messari-deep-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Async deep-research report workflow that leverages Messari's AI to generate comprehensive, long-form crypto research on any topic, asset, or protocol, reducing manual work and accelerating decision-making.

Core Features & Use Cases

  • Async job lifecycle: start, poll, and retrieve a final report.
  • Integrates Messari's data sources (on-chain, news, knowledge graph) for contextual depth.
  • Use Case: generate investment theses, risk assessments, and sector analyses for new projects.

Quick Start

Ask for a deep research report on a topic to start an asynchronous Messari job and retrieve a comprehensive final report.

Frequently Asked Questions about messari-deep-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a long-form crypto research report asynchronously?

Generate a comprehensive crypto research report asynchronously by initiating a deep-research job with a query, polling for status, and extracting the final synthesized report once complete.

What is Messari deep-research used for in crypto sector analysis?

Messari deep-research is used for generating comprehensive investment theses, risk assessments, and sector analyses by integrating on-chain data, news, and knowledge graphs to provide contextual depth for crypto topics.

Can I use asynchronous deep-research for investment thesis generation on new crypto projects?

Yes, you can use asynchronous deep-research for investment thesis generation on new crypto projects by starting a job with a query, polling for completion, and extracting a long-form report that leverages Messari's data sources for contextual depth.

How does the asynchronous polling workflow function for crypto research jobs?

The asynchronous polling workflow functions by starting a deep-research job with a query, polling the job status until completion, and then extracting the final synthesized report, allowing long-form crypto research to process without blocking.

What data sources does Messari deep-research integrate for protocol analysis?

Messari deep-research integrates on-chain data, news, and knowledge graph sources for protocol analysis, providing the contextual depth required to generate comprehensive, long-form research reports on specific crypto assets or protocols.

Are there limitations to generating deep-research reports asynchronously?

Limitations of asynchronous deep-research reports include the requirement to manage a staged workflow from job initiation to polling and final synthesis, meaning users must wait for the job to complete before extracting the final long-form crypto report.