> AI agents: this is one page from PostHog's docs. Full index of Markdown docs for LLMs: https://posthog.com/llms.txt # Linking Checkly as a source **Alpha release** This source is currently in **alpha**. The interface and available tables may change. ![](https://res.cloudinary.com/dmukukwp6/image/upload/texture_tan_9608fcca70) ![](https://res.cloudinary.com/dmukukwp6/image/upload/texture_tan_dark_a92b0e022d) Let AI connect your sources for you Skip the manual setup — run this in your project and the wizard auto-detects your databases and APIs and connects them to PostHog. `npx @posthog/wizard warehouse` ![PostHog Wizard hedgehog](https://res.cloudinary.com/dmukukwp6/image/upload/wizard_3f8bb7a240.png) ![](https://res.cloudinary.com/dmukukwp6/image/upload/wizard_3f8bb7a240.png)Let AI connect your sources for you The Checkly connector syncs your synthetic monitoring data – checks, check groups, alert channels, check statuses, and check results – into PostHog, so you can analyze uptime, performance, and alerting alongside your product data. ## Prerequisites You need a [Checkly](https://www.checklyhq.com/) account with an API key and your account ID. - **API key** – create one in [User Settings → API Keys](https://app.checklyhq.com/settings/user/api-keys). - **Account ID** – find it in [Account Settings → General](https://app.checklyhq.com/settings/account/general). It's a UUID. ## Adding a data source 1. In PostHog, go to the [Sources tab](https://app.posthog.com/data-management/sources) of the data pipeline section. 2. Click **\+ New source** and click **Link** next to this source. 3. Enter your credentials (see [Configuration](#configuration) below) and click **Next**. 4. Select the tables you want to sync, choose a sync method and frequency, then click **Import**. Once the syncs are complete, you can start querying this data in PostHog. When linking Checkly, you'll need: - **API key** – the key you created in your Checkly user settings. - **Account ID** – the UUID from your Checkly account settings. ## Sync modes Each table can be synced in one of several modes, depending on what the source supports: - **Webhook** (when available) – the source pushes changes to PostHog in real time. Fastest freshness, lowest ongoing cost, and the only mode that reliably captures updates and deletes. - **Incremental** – only new or updated rows are synced on each run, using a cursor field (such as an `updated_at` timestamp). Cheaper than a full refresh, but deletes aren't captured. - **Append only** – new rows are appended using a cursor field; existing rows are never updated. Ideal for immutable, append-only tables like event logs. - **Full refresh** – the whole table is reloaded on every sync. Use it when a table has no reliable cursor or when you need deletions reflected. See [sync methods](/docs/cdp/sources.md#sync-methods) for a full explanation of how each mode works and how to choose between them. Most Checkly tables use full refresh. `check_results` supports incremental sync using the `created_at` timestamp. ## Check results The `check_results` table syncs individual check runs – including final results and retry attempts – for all currently listed checks. A few things to note: - **30-day history** – Checkly retains results for up to 30 days, so each sync covers that window at most. - **Incremental sync** – when enabled, subsequent syncs fetch only results newer than the last watermark, reducing the amount of data transferred. - **Deleted checks** – results for checks that have been deleted from Checkly are not discovered. - **Excluded fields** – raw logs, request payloads, and result assets are not synced. Only run metrics and status fields are included. ## Data sanitization For security, the connector excludes sensitive fields before data reaches PostHog. This includes inline authentication, request bodies, environment variables, executable scripts, URLs, and secret-bearing alert channel configuration. Only explicitly approved safe fields are synced for `checks`, `check_groups`, and `alert_channels`. ## Configuration | Option | Type | Required | | --- | --- | --- | | `API key` | password | Yes | | `Account ID` | text | Yes | ## Supported tables | Table | Description | Sync method | Incremental field | Primary key | | --- | --- | --- | --- | --- | | `checks` | Monitoring checks in the Checkly account. Inline authentication, request details, environment variables, executable scripts, and URLs are excluded. | Full refresh | — | — | | `check_groups` | Groups that share settings across monitoring checks. Inline authentication, request details, environment variables, executable scripts, and URLs are excluded. | Full refresh | — | — | | `alert_channels` | Configured alert channels and their subscribed checks. Secret-bearing channel configuration is excluded. | Full refresh | — | — | | `check_statuses` | Current status of each check, updated as results arrive. | Full refresh | — | — | | `check_results` | Individual check runs, including final results and retry attempts, within the available 30-day history. | Incremental, Full refresh | created\_at | — | ## Troubleshooting - If the connection fails with an API key error, your key may be invalid or revoked. Create a new one in [Checkly user settings](https://app.checklyhq.com/settings/user/api-keys) and reconnect. - If the connection fails with an account access error, double-check that the account ID matches the account the API key belongs to. If your sync is failing or data looks wrong, see the [Data warehouse troubleshooting guide](/docs/data-warehouse/troubleshooting.md). If that doesn't help, [contact support](https://us.posthog.com/#panel=support%3Asupport%3Adata_warehouse%3A%3Atrue) – we're happy to help. ### Still have questions? 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