Payload Limits Increased Across All Plans
We have increased maximum webhook payload sizes across all plans -- up to 10 MB on Business. Handle EDI documents, batch events, and large payloads without hitting limits.
Bigger Payloads, Every Plan
One of the most common requests we get is for higher payload limits. Webhook payloads are getting larger -- batch event arrays, EDI documents, base64-encoded attachments, rich metadata from ERP systems. The old limits were too restrictive for many real-world use cases.
Today we are increasing the maximum webhook payload size across every plan:
| Plan | Previous Limit | New Limit | |------|---------------|-----------| | Free | 64 KB | 256 KB | | Starter | 256 KB | 1 MB | | Pro | 512 KB | 5 MB | | Business | 1024 KB | 10 MB |
The increase is automatic. No configuration changes, no migration, no action needed on your part. If you were hitting payload size errors before, they should be resolved now.
What This Enables
- Batch webhook events -- Some providers send arrays of events in a single payload. With 5-10 MB limits, you can receive large batches without splitting.
- EDI and B2B documents -- Purchase orders, invoices, and shipping notices from ERP systems often exceed 256 KB, especially with line item details and addresses.
- Base64-encoded files -- Webhook payloads that include encoded images, PDFs, or documents can now be handled on Starter and above.
- Rich metadata -- Payloads with nested objects, audit trails, and full resource snapshots no longer need to be truncated.
Storage
Large payloads are stored in Cloudflare R2, the same object storage we have always used. Payload retrieval performance is unaffected -- R2 handles multi-megabyte objects with the same low latency as smaller ones.
Transform Performance
If you are using JavaScript or JSONata transforms on large payloads, note that the QuickJS sandbox allocates 4 MB of memory per transform execution. For payloads approaching the 5-10 MB range with complex transforms, the transform step may require more memory. If you encounter memory limit errors on very large payloads, consider simplifying your transform or filtering the payload upstream.
Questions?
If you need even higher limits for your use case, reach out at [email protected]. We can discuss custom limits for enterprise deployments.