Credit customers without watching the chain
You keep the list of addresses. Goldsky checks incoming transfers against it and sends you the matches.
New customers need no deploy
Adding a customer means inserting their address into a Postgres table. The pipeline picks it up on its own.
Your app hears about deposits
A webhook goes to your app when a watched address receives funds. Your code decides what to do next, whether that’s crediting the account or holding it for review.
Support can answer tickets
When a customer asks where their money is, support can look up the deposit by address and see who sent it, how much and when.
Deposit detection on Goldsky: address lists, webhooks and balances
Your team sets up a Goldsky pipeline that compares token transfers on the chains you pick against your address list and writes the matches to your Postgres database.
Address list in Postgres
Add and remove addresses with SQL. The running pipeline reads the table as it changes.
Webhooks
Point the pipeline at an endpoint and it calls your app for each matched transfer.
Deposit table
Each match is saved with the token, sender, recipient, amount, time and transaction hash, so you can join it to your ledger.
Balances
The same pipeline can keep a balance per address for the token you track, adding deposits and subtracting withdrawals.
More chains, same setup
Goldsky’s transfer datasets share one format across chains. Adding a chain is a new source in the same pipeline.
Past deposits
Start with new transfers, or load older ones first if you want history for addresses you already have.
Built for regulated environments
SOC 2 Type II, dedicated and on-premises deployment, and access controls for banks, payment companies and trading firms.

SOC 2 Type II
Goldsky maintains SOC 2 Type II compliance.
Dedicated infrastructure
Single-tenant infrastructure in Goldsky-managed cloud accounts, with static IPs for allowlisting, on Enterprise.
On-premises and BYOC
Run the full stack on-prem or in your own cloud, so data and compute stay inside your boundary.
Access controls
Role-based access on every plan, plus SAML SSO and audit logs on Enterprise.
Complete, validated data
Every block is checked for completeness before delivery, and daily validation repairs any gaps.
Data for your compliance program
Transfer and identity data for MiCA, Travel Rule and BSA/AML: Goldsky supplies it, your team owns the program.
Deliver on your timeline
Banks, payment companies and trading firms use Goldsky to get onchain products live in weeks. Our engineers work with yours from the first call to production.
Scoping call
We learn what your digital asset product needs and give you a delivery estimate.
Proof of concept
Our engineers and yours build a working version on your own data.
Kickoff and go live
We launch it together and check the numbers against your systems.
Ongoing support
24/7 support in a shared channel with the engineers who run your infrastructure.
Step 1
Scoping call
We learn what your digital asset product needs and give you a delivery estimate.
Step 2
Proof of concept
Our engineers and yours build a working version on your own data.
Step 3
Kickoff and go live
We launch it together and check the numbers against your systems.
Ongoing
Ongoing support
24/7 support in a shared channel with the engineers who run your infrastructure.
Build deposit detection today
Copy the prompt into your AI coding agent and build a working version today.
I'm building onchain deposit detection for a payments product using Goldsky. ## Set up your tooling first ```bash npx skills add goldsky-io/goldsky-agent ``` That installs to Claude Code, Cursor, Codex, Windsurf and 30+ other agents. Then connect Goldsky's MCP server at `https://docs.goldsky.com/mcp` however your tool does it — per-client setup is at https://docs.goldsky.com/mcp-server Finally, use the `auth-setup` skill to install the Goldsky CLI if it's missing, and confirm I'm logged in before you start. ## What I'm building Follow the Goldsky guide at https://docs.goldsky.com/solutions/deposit-detection Help me set up a Turbo pipeline that: 1. Maintains a dynamic table of the customer deposit addresses we watch 2. Filters a curated token transfers dataset down to transfers received by those addresses 3. Lands the matches in our database as a queryable index 4. Fires a webhook on arrival and maintains a running balance of the tracked token per address ## How to work - Confirm dataset names yourself rather than assuming them - Write the files, and create any Goldsky secrets the pipeline needs - Validate locally — `goldsky turbo validate` for pipelines, a local task call for Compose - Ask me for anything you can't determine: contract addresses, endpoints, thresholds, which database we're writing to - Put credentials straight into Goldsky secrets, never into this chat **Stop before deploying anything live**, then show me the commands to run.
Automate crediting for crypto deposits
Bring your chains and address volume to a 30-minute scoping call and leave with a concrete plan and timeline.
Frequently asked questions
What do we need to run ourselves?
Does deposit detection replace our ledger?
Can we start with one chain and add more later?
Can we see deposits from before we started?
We only watch a few addresses. Do we need a pipeline?
