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MadeOnSolMade on Sol

Solana and Robinhood Chain intelligence — KOL wallet tracking, deployer intelligence, all-DEX trade streams, and a developer API. Discover, compare, and build.

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© 2026 MadeOnSol

MadeOnSol — eenmanszaak, Hulshout, Belgium · KBO/BTW BE 1039.535.538 (art. 56bis, no VAT charged)

Runs on our own dedicated EU servers — self-hosted data stack, own Robinhood Chain node · security

Follow us on XPowered by:constant·k — Private Solana RPC Services
SolutionsTrading Bots

Solutions · Trading bots

Solana data infrastructure for trading bots

Build trading systems with parsed DEX activity, wallet intelligence, token context and real-time delivery, without turning your application into an indexing project.

Start building Explore DEX data

Before a bot trades

What happens between chain activity and an order.

  1. 1Detect the right eventData layer
  2. 2Interpret venue-specific activityData layer
  3. 3Normalize fieldsData layer
  4. 4Enrich wallets and tokensData layer
  5. 5Filter noiseData layer
  6. 6Decide whether a signal deserves actionYour bot
  7. 7Send the swapYour bot

The problem

Sending a swap is only one part of a trading system. Before execution, a bot must detect the right event, interpret venue-specific activity, normalize fields, enrich wallets and tokens, filter noise and retain enough context to decide whether a signal deserves action.

Capabilities

How MadeOnSol fits

01

Structured market events

Consume parsed DEX activity instead of maintaining custom decoding for every supported venue.

02

Wallet context

Enrich signals with wallet, KOL and alpha-wallet intelligence where relevant.

03

Filtering

Reduce downstream noise with targeted endpoints and supported server-side filters.

04

Research plus production

Combine live delivery with queryable data on one platform.

Architecture

From chain activity to your strategy

  1. 1 · Source

    Chain activity

    Transactions and program events

  3. 2 · MadeOnSol

    Data and intelligence layer

    • Parsed DEX trades
    • KOL and alpha-wallet context
    • Token and deployer data

  5. 3 · Delivery

    • WebSocket streams/ws/v1/stream · DEX firehose
    • Webhookssigned HTTPS push
    • REST API/api/v1 request-response

  7. 4 · Yours

    Your bot's strategy and risk logic

    Keys and business logic stay server-side

  9. 5 · Users

    Your execution

Build outcomes

What teams can build

  • Event-driven trading bots
  • Wallet-following strategies
  • Token discovery strategies
  • Market monitors
  • Signal engines

Keep going

Related

Solution

DEX Data

Normalized real-time Solana DEX trades.

Product

Deployer Hunter

Deployer track records behind new tokens.

Product

KOL Tracker

Tracked KOL wallets and their trades.

Solution

Wallet Tracking

Monitor wallets and interpret activity.

Guide

How to build a Solana KOL copy-trading bot

Step-by-step build guide.

FAQ

Questions teams ask

Can this work alongside an existing RPC provider?+
Yes, and most bots will use both. Use MadeOnSol to detect and qualify events (parsed DEX trades, KOL and wallet activity, token and deployer context), and your own RPC or execution stack to build, sign and send transactions.
REST or live transport?+
Bots that react to events usually hold a WebSocket stream open and call REST for enrichment before acting. If your service cannot keep a socket open, signed webhooks deliver supported events such as KOL trades, deployer alerts and wallet tracker events over HTTPS.
Can teams prototype first?+
Yes. Create a free API key on the developer page and call the REST API right away; on the free plan, live feeds such as the KOL feed and deployer alerts are delayed by 5 minutes. You can also try the API without signing up in the live demo. When you need real-time data, webhooks or streams, compare plans on pricing.
Does MadeOnSol execute trades?+
No. Copy-trade rules and other signals tell your bot that something happened, including a suggested size for copy-trade signals. Your bot decides whether to trade, then builds, signs and sends the transaction with its own stack.

Start building

Build the data layer without building every indexer yourself.

Start building Explore DEX data