Solscan Integration

[Beegusdeecus]

Lots of beta plays of 'solana copilot' showing up, many are neither open source with active community support or with a working product like Neur.

Only noteworthy ones are svmai or lexicon (5-10m fdv) which claims to feature solscan support but none have active community support or working product.

Suggest Neur to integrate solscan support for onchain wallet analytics asap to position itself as the rightful Blue Chip of the 'solana copilot' narrative that Neur created.

Bounty details from @backwardsmap below

API reference: https://pro-api.solscan.io/pro-api-docs/v2.0

Minimum criteria for this issue should include one or many new tools that route a set of user provided (or implied) parameters to the solscan API.

Concrete examples would be listing an account's historical transaction data, recent defi activities, etc.

Render the output as UI components where applicable, but optionally allow for JSON output and render as a preformatted code block.

[backwardsmap]

@Beegusdeecus would you be able to add a little more info or screenshots from comparable features for specific use cases that we are looking to add? Dev team looking into possibly getting API access

[backwardsmap]

API reference: https://pro-api.solscan.io/pro-api-docs/v2.0

Minimum criteria for this issue should include one or many new tools that route a set of user provided (or implied) parameters to the solscan API.

Concrete examples would be listing an account's historical transaction data, recent defi activities, etc.

Render the output as UI components where applicable, but optionally allow for JSON output and render as a preformatted code block.

[Beegusdeecus]

Thank you for your interest.

Yes, just being able to have neur track all tickers engaged by selected smart money wallets (or twitter accounts but thats not solscan) within a timeframe is already insane.

Neur can position itself as an indispensible tool to save time and filter out trash for gem hunters

[Beegusdeecus]

A typical gem hunting workflow example:

1. Collect a list of tickers by various means ( i.e. Tickers traded by selected smart money wallets, mentioned by notable twitter accounts, latest launches on dexscreener, and trending tokens on dexscreener)

Neur's impact:
Neur can help with all the above except twitter mentions which is amazing. Only issue is it just stops working atm if i tell it to do too many things in one command

2. Apply filter criteria. (Use LLMs to filter description. Use dexscreener API to filter token age, fdv, liquidity, volume)

Neur's impact:
Using LLMs to filter description saves HEAPS of time cutting out non relevant stuffs to current meta. You dont have to click into projects and check description 1 by 1. Unfortunately Neur currently just stops working of I tell it scrape too many websites for description.

3. Search the tickers on notable twitter accounts and smart money wallets to give a numerical score of how many have engaged or traded with each filtered tickers. (Must be a modifiable list of twitter accounts and wallets - people lose their edge all the time)

Currently not a feature available to Neur.

5. Present filtered tokens in the following layout (Neur can do this now which is good):

Ticker, description, token age, dexscreener link.
(Bonus: show how many notable accounts and wallets have engaged or traded the ticker)

For the above process, the more bullet points Neur can handle the more it presents itself as the objectively superior product to Griffain.