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Sol Onchain Analyst

Sol Onchain Analyst is a Rust command-line agent that screens Solana tokens by combining BirdEye market data with LLM-selected filters and analysis. Its pipeline evaluates market metrics, trading patterns, social signals, and development metrics, then stores filtered token assessments in MongoDB vector storage.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Sol Onchain Analyst — OpenViST project profile in Trading & Crypto Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you need a repository-based CLI pipeline for screening Solana tokens and organizing market and metadata analysis, rather than a web dashboard or documented automated trade-execution workflow.

Who it is for

  • Solana researchers who want a CLI workflow for filtering token lists and assembling market assessments.
  • Developers evaluating a Rust token-analysis pipeline built around BirdEye, RIG, and MongoDB.

Documented uses

  • Select token-filter parameters with LLM assistance.
  • Retrieve and filter token data through BirdEye.
  • Assess market metrics, trading patterns, and social or development metadata.
  • Store filtered token analyses for later use.
Before you choose

Requirements & limits

The repository is public. The README provides a local build-and-run path and identifies BirdEye, OpenAI, and MongoDB credentials as environment requirements.

  • The primary interface is a command-line example, not a documented web dashboard.
  • The stated stack combines Rust, BirdEye API, RIG with an O1-MINI model, and MongoDB vector storage.
  • The project describes analysis, filtering, scoring, and storage; the evidence does not document a complete trading-execution flow.
  • The README says visualization, real-time monitoring, and a web dashboard are future work.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Build and configure the token-filter example

Prepare the Rust project and configure the environment for the documented token-filter example.

Before you start

  • A local copy of the public repository
  • Rust and Cargo
  • BirdEye API key
  • OpenAI API key
  • MongoDB connection URI

Steps

  1. Clone the repository.

  2. Build the project with the command below.

    Documented command
    cargo build

  3. Set BIRDEYE_API_KEY, OPENAI_API_KEY, and MONGODB_URI in the environment.

  4. Run the documented example with the command below.

    Documented command
    cargo run --example token_filter

Expected outcome

The README identifies this command as the token-filter example for the pipeline.

Guide limitations

  • The source provides setup and run instructions but does not establish that the workflow has been independently executed.
  • Pipeline configuration is described through repository files for BirdEye parameters, MongoDB collections, and model selection.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
18 October 2026
Original website title
affaan-m/Sol-Onchain-Analyst · Official homepage title · retained in its source language
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