Plaid to Convex: How to Move Your Data
Move Plaid into Convex with Airbyte. Why one access token covers one bank connection, and why this is the most sensitive pipeline you will build.
Moving Plaid into Convex puts account balances and transactions inside an application backend, which is where a budgeting tool, a treasury dashboard or an internal finance view needs them. Plaid provides the connection to the bank; your software has to hold the result.
This guide covers the managed path with Airbyte. Two things shape the build: an access token identifies one bank connection rather than an account, and this is the most sensitive data in any pipeline you are likely to build.
Plaid to Convex at a glance:
Why move data from Plaid to Convex?
One situation genuinely suits this, and it is narrower than people expect.
The good case is an application reading a small number of bank connections. An internal treasury view across your own company accounts, or a tool built around a handful of linked institutions, needs that data where your functions can query it, and a backend is the right home.
The poor case is a product with many users, for reasons covered below, and analysis is a poor case too since an application backend is not where you aggregate years of transactions. Be clear which of the three you are doing before building anything.
What do you need before you start?
Four things, and the first determines whether this is feasible at all:
A count of the bank connections you need. An access token identifies one linked Item, so the number of institutions you are reading is the number of sources you will configure. The Plaid source documentation covers obtaining a token.
Client credentials for the right environment. A client identifier and secret, matched to sandbox or production, since credentials only work against the environment they belong to.
A decision about who can read the result. These are individual bank transactions, so the answer should be narrower than your usual application data and agreed with somebody accountable for it.
A Convex deployment and realistic expectations of it. The destination is in beta and imports only, and both matter more with this data than with most.
If your organisation restricts access by IP, add the Airbyte Cloud IP addresses to the allow list before you begin.
How do you build a Plaid to Convex pipeline in Airbyte?
Step 1: Count your Items and check the arithmetic
Work out how many linked institutions this pipeline needs to cover, because each one is a separate source with its own access token. Five company bank accounts is five sources and entirely manageable. A consumer product where every user links their own bank is a different proposition, and finding that out now saves building something that cannot scale the way the product does.
Step 2: Configure the Plaid source
Click Sources in the left navigation, then New Source, and select Plaid, following adding a source. Supply the client identifier, secret, access token and environment. Name each source after the institution it covers, because access tokens are opaque and a list of them tells you nothing.
Step 3: Configure the Convex destination
Click Destinations, then New Destination, and select Convex, following adding a destination. Supply your deployment details and access key, and check your table names against Convex's rules. Treat these tables as data your application reads rather than as something it writes to.
Step 4: Create the connection and test in sandbox first
Click Connections, then New connection, select your streams and a sync mode. Prove the whole arrangement against sandbox credentials before pointing it at real accounts, since a beta destination and genuine financial records are a combination worth rehearsing.
Then decide which of your application's queries can reach these tables, before anybody writes one that can.
What does one access token actually cover?
One linked Item, which in Plaid's terms is a single connection between one set of credentials and one institution. That connection may expose several accounts at that bank, so a token is broader than an account and considerably narrower than a customer base.
For an internal use that is fine. A finance team watching five company accounts across three banks configures three sources and never thinks about it again, and the rate limits apply per Item so separate connections do not compete with each other.
For a consumer product it does not work, and this is the honest part. If every user links their own bank, every user is an Item with an access token issued when they completed Plaid Link, and a pipeline tool configured per connection is the wrong instrument. That case wants your application calling Plaid directly with the token it already holds, rather than a source somebody creates by hand.
Who should be able to read a transaction list?
Almost nobody, and this deserves more care than any other pairing in this series. A transaction list describes what an organisation or a person spent money on, where and when, and it arrives in tables your application's functions can query and your developers can inspect.
So minimise before you widen. Sync the accounts and the fields your application actually displays rather than everything available, keep these tables out of any query a client can reach directly, and make sure the functions that read them check who is asking. A backend makes that possible and does not do it for you.
The destination being in beta matters here too, more than it would for a catalogue of marketing metadata. Prove the pipeline in sandbox, restrict who holds deployment access, and keep the access tokens themselves somewhere your team treats as seriously as the data, since a Plaid token is long-lived and opens a bank connection rather than a reporting endpoint.
Frequently asked questions
Can one source cover all my users' banks?
No. An access token identifies one linked Item, so a product where users link their own banks needs your application calling Plaid directly rather than a pipeline per connection.
My credentials are rejected.
Check the environment, since sandbox and production credentials only work against their own and the failure does not always make that obvious.
Can my application write back to Plaid?
Not through this pipeline, which imports only. Treat the tables as a read model and keep anything your application owns in its own tables.
How sensitive is this really?
Individual bank transactions, so more sensitive than almost anything else you sync. Minimise what you take and restrict which functions can read it.
Can I do this without writing code?
The pipeline, yes, though obtaining an access token is a Plaid Link flow. The access checks in your application are code and they are not optional here.
Get your Plaid data into Convex
Count your linked institutions first, because each is a source and a consumer product with per-user connections wants a different approach entirely. Match credentials to the environment. Then treat this as the most sensitive pipeline you run: sync only the fields your application displays, restrict which functions can read the tables, rehearse in sandbox, and guard the access tokens as carefully as the data.
Airbyte's connector catalog includes 600+ pre-built connectors, so financial data can reach the software that presents it. For another application backend into the same destination, see Firebase Realtime Database to Convex, and for commerce data into the same destination, Shopify to Convex.
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