Source connector
Codat connector
Codat integration for databases, warehouses and BI tools
Unified API for accounting and banking data. Datrise captures Codat entities such as companies, accounts, invoices, bills, journal entries and payments, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.
The Codat Platform API authenticates with API key, HTTP Basic, incremental runs key on modifiedDate, and Codat caps calls at 1,000 x (1 + number of Active Connected Companies) requests per day, 10 concurrent requests per connected company, and a hard 1,000 requests per minute per IP; quotas reset at 00:00 UTC.
Of the 6 objects, 4 sync as upserts keyed on the primary key and 2 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `codat_companies`) with a schema derived from the Codat API rather than a flattened CSV, in any of the 43 supported destinations.
Datrise is in early access: pick a destination below to open the Codat pipeline page, and join the waitlist to get the Codat connector with guided onboarding.
What Codat data Datrise extracts
Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.
| Object | Landing table | Sync mode |
|---|---|---|
| companies | codat_companies | Upsert by primary key, incremental on updated-at |
| accounts | codat_accounts | Upsert by primary key, incremental on updated-at |
| invoices | codat_invoices | Append-only, incremental by timestamp |
| bills | codat_bills | Upsert by primary key, incremental on updated-at |
| journal entries | codat_journal_entries | Upsert by primary key, incremental on updated-at |
| payments | codat_payments | Append-only, incremental by timestamp |
Codat API: setup facts for the connector
Verified against the vendor documentation on 2026-09-03. Unknown values are left blank rather than guessed.
| API | Codat Platform API |
|---|---|
| Authentication | API key, HTTP Basic — A Base64-encoded API key sent as `Authorization: Basic {key}`; an account may hold at most 10 API keys at a time. |
| Pagination | page — `page` (default 1) and `pageSize` (default 100, maximum 5000); responses carry `results`, `totalResults` and a `_links` object with `next` and `previous`. |
| Rate limit | 1,000 x (1 + number of Active Connected Companies) requests per day, 10 concurrent requests per connected company, and a hard 1,000 requests per minute per IP; quotas reset at 00:00 UTC |
| Incremental cursor | modifiedDate — `modifiedDate` is when the record changed in Codat's own store; `sourceModifiedDate` is when it changed in the underlying accounting platform and is not populated by every platform. |
| Webhooks | Yes — Codat webhook service (event types subscribed via the Portal or API, with retries and event replay) |
| Bulk export | No |
| Deletes detectable | Not published |
What bites when replicating Codat
- The daily quota scales with Active Connected Companies (1,000 x (1 + ACCs)), so a sandbox or low-volume account has a far smaller budget than production and hits 429 during a first backfill.
- `pageSize` can be raised to 5,000 but Codat explicitly recommends the default of 100 for response times; deep paging at the maximum is where timeouts appear.
- `sourceModifiedDate` is not populated by every accounting platform, so an incremental sync keyed on it silently misses records — `modifiedDate` is the only universally present cursor.
- `totalResults` counts rows after the `query` filter is applied, not the full data set, so it cannot be used to detect that a filter dropped records.
Popular destinations for Codat
Choose a destination below to open the ready pipeline page.
- AAirtable
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View pipeline - AAmazon Athena
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View pipeline - AAmazon DynamoDB
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View pipeline - AAmazon QuickSight
AWS serverless BI with SPICE and embedded analytics.
View pipeline - AAmazon Redshift
AWS petabyte-scale warehouse with Spectrum.
View pipeline - AAmazon S3 Data Lake
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View pipeline - AApache Superset
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View pipeline - AAzure Data Lake Storage
ADLS Gen2 object storage for analytics workloads.
View pipeline - AAzure Synapse
Microsoft analytics workspace with SQL pools.
View pipeline
Codat connector FAQ
- What Codat data does the connector extract?
- 6 objects: companies, accounts, invoices, bills, journal entries and payments. Each lands in its own table with types preserved; history-style objects (2: invoices and payments) load as append-only streams.
- Is the Codat integration incremental?
- Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
- Where can I load Codat data?
- Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Codat → destination pair has its own page with the object-to-table mapping.
Related sources
Other sources in the same category, each with its own connector page.
Early access
Launch your Codat pipeline with guided onboarding
Join the waitlist to get priority access for Codat integrations with guided setup, schema-aware mapping, and production-grade incremental sync.