diff --git a/custom_dc/index.md b/custom_dc/index.md
index 5f05db03d..7881cbd5e 100644
--- a/custom_dc/index.md
+++ b/custom_dc/index.md
@@ -42,7 +42,7 @@ For the following use cases, a custom Data Commons instance is not necessary:
| Interactive tools (Exploration tools, Statistical Variable Explorer, etc.) | yes | yes |
| Natural language query interface | yes, using Google AI technologies and models | yes, using open-source models only1 |
| REST APIs | yes | yes, no additional setup needed |
-| Python and Pandas API wappers | yes | yes, but requires additional setup2 |
+| Python and Pandas API wrappers | yes | yes, but requires additional setup2 |
| Bigquery interface | yes | no
| Google Spreadsheets | yes | yes, but requires additional setup2 |
| Site access controls | n/a | yes, using any supported Cloud Run mechanisms3 |
@@ -63,7 +63,7 @@ A custom Data Commons instance uses custom data that you provide as raw CSV file
In addition to the data, a custom Data Commons instance consists of two Docker containers: one with the core services that serve the data and website; and one with utilities for managing and loading custom data and embeddings used for natural-language processing.
-Details about the components that make up the containers are provided in the [Getting started](quickstart.md) guide.
+Details about the components that make up the containers are provided in the [Getting started](/custom_dc/quickstart.html) guide.
## Requirements and cost