setting-up-a-custom-rest-source
Conecta una API REST arbitraria al almacén de datos de PostHog como una fuente personalizada mediante la creación de un manifiesto JSON, sin código por fuente. Úsalo cuando el usuario señale…
npx skills add https://github.com/posthog/ai-plugin --skill setting-up-a-custom-rest-sourceSetting up a Custom REST source
A Custom source imports any HTTP REST API into queryable warehouse tables from a JSON manifest — no
per-source Python. The manifest is a RESTAPIConfig: the same shape that powers PostHog's built-in REST connectors
(Intercom, Attio, Sentry, …), so the generic REST engine handles auth, pagination, JSONPath record extraction, and
incremental cursors for you. Your job is to author a correct manifest and prove it against live data before creating
the source.
This is an alpha capability. Caps: at most 50 resources per manifest, and at most 5 Custom sources per project.
When to use this skill
- The user wants to import an API that has no built-in connector — an internal service, a niche SaaS, a public API — and can give you its docs URL or describe its endpoints.
- The user explicitly asks for a "custom REST source", "custom source manifest", or to "build a connector from docs".
A Custom source is the fallback — only correct when no native connector fits. PostHog ships hundreds of native
connectors, far more than could be listed here, so never assume an API has no built-in — most well-known SaaS apps
and databases do, and guessing wrong misroutes them into a hand-authored manifest that duplicates a battle-tested
connector. Step 0 below makes you check the registry before drafting anything; if a native connector matches, hand off
to setting-up-a-data-warehouse-source instead.
The grammar
Read references/manifest-reference.md before drafting — it is the full
RESTAPIConfig field reference (auth types, the six paginators, incremental cursors, parent/child fan-out) with worked
examples for each. Draft the manifest from that grammar; don't guess field names.
The skeleton:
{
"client": {
"base_url": "https://api.example.com/v1",
"auth": { "type": "bearer" }
},
"resources": [
{
"name": "users",
"primary_key": "id",
"endpoint": {
"path": "/users",
"data_selector": "data",
"paginator": { "type": "json_response", "next_url_path": "next" },
"incremental": { "cursor_path": "updated_at", "start_param": "since" }
}
}
]
}
Secrets never go inline in the manifest. manifest_json holds only the non-secret structure. The credential
travels in a separate payload key chosen by the manifest's client.auth.type: auth_token (bearer), auth_api_key
(api_key), auth_password (http_basic), or auth_oauth2_client_secret for oauth2 (plus
auth_oauth2_refresh_token for the refresh-token grant only). The
engine injects it at run time, and PostHog redacts it from every response. Putting a token inline is rejected at
validation.
Available tools
| Tool | Purpose |
|---|---|
external-data-sources-wizard | List every native source type PostHog supports. Run this first (Step 0) to check whether the target API already has a built-in connector before drafting a manifest. |
external-data-sources-db-schema | Validate the manifest + credential and list the resources (tables) it exposes, with detected primary keys and incremental cursors. This is the validate-and-list step. |
external-data-sources-preview-resource | Read a small live sample of rows for one resource — verify data_selector / primary_key / cursor_path against real data before creating anything. |
data-warehouse-source-setup | Create the source. Enables all manifest resources with sync defaults in one call. |
external-data-sources-create | Advanced create — lets the user hand-pick which resources sync via a schemas array. |
external-data-schemas-list | After creation, watch per-table sync status. |
Workflow
Step 0 — Check for a native connector first
Before drafting anything, call external-data-sources-wizard to list the native source types and check whether the
target API is among them, matching on the service name. A Custom source is the fallback for APIs with no native
connector; do not skip this check on the assumption that a well-known API isn't supported — most are.
If a native connector matches, stop and tell the user the built-in path is simpler and battle-tested (it handles
auth, pagination, schema, and incremental sync for you), and hand off to setting-up-a-data-warehouse-source. Only
continue with this skill when the user has no matching native connector, or explicitly wants to exercise the custom
REST path despite one existing.
Step 1 — Gather the API shape
Get either a docs URL (fetch it and read the auth scheme, the list endpoints, their response envelopes, and any pagination) or a natural-language description of the endpoints. You need, per resource you'll import:
- the path (relative to a common
base_url) and method (GET, or POST for query-style read endpoints), - the auth scheme (bearer token / API key in header or query / HTTP basic / OAuth2 with a customer-owned client —
client_credentialsor a pre-obtained refresh token; the interactiveauthorization_codeflow is not supported), - the record path — where the array of records sits in the JSON response (e.g.
data,results,items), - how the API paginates (next-URL, link header, cursor, offset, page number, or single page),
- a primary key field, and
- optionally an incremental cursor field (
updated_at-style) so re-syncs only fetch new/changed rows.
Ask the user for the credential value, but tell them you'll only ever place it in the auth_* payload key, never in
the manifest.
Step 2 — Draft the manifest
Author the RESTAPIConfig from references/manifest-reference.md. Match the auth
block to the scheme, pick the paginator that matches the docs, set data_selector to the record path, and add an
incremental block when the API has an updated_at-style cursor and a matching query param. For an endpoint whose
rows must be fetched per parent (e.g. /forms/{form_id}/responses), use a parent/child resolve param — see the
fan-out example. Keep it to one level of nesting.
Step 3 — Validate and list resources
Call external-data-sources-db-schema with { source_type: "Custom", manifest_json: "<stringified manifest>", auth_token: "<credential>" }. The credential key is not literally auth_* — use the one for your auth type:
auth_token (bearer), auth_api_key (api_key), auth_password (http_basic), or auth_oauth2_client_secret (+
auth_oauth2_refresh_token for the refresh-token grant). It validates the manifest structure,
the fan-out graph, and the credential (a bounded live probe),
then returns one table entry per resource with detected_primary_keys and incremental_fields. If it returns a 400,
the message is plain English (e.g. resources[0].endpoint.path: must not be empty) — fix the manifest and retry.
Loop here until it validates.
Step 4 — Test-read each resource
For each resource, call external-data-sources-preview-resource with { source_type: "Custom", payload: { manifest_json, auth_token }, resource_name: "<name>", limit: 10 } (the auth_token key varies by auth type, as in
Step 3). It returns up to limit real rows plus the inferred
columns. Check that:
data_selectoris right —rowsare the records you expect, not a wrapper object. Ifrowslooks like[{ "data": [...] }]you pointed at the envelope, not the array; fixdata_selector.primary_keyexists in the rows and is unique.- the incremental
cursor_pathfield is present in the rows and looks like a sortable timestamp/id.
A live failure (unreachable host, auth rejected) comes back as error with empty rows — fix credentials or the URL
and retry. Iterate Steps 2–4 until the sample looks right.
Step 5 — Create the source
Call data-warehouse-source-setup with { source_type: "Custom", payload: { manifest_json, auth_token }, prefix: "<short_name>" } (the auth_token key varies by auth type, as in Step 3). It enables every resource in the manifest with sensible sync defaults (incremental where the
manifest declares a cursor, else full refresh) and creates the source. If the user only wants a subset of resources,
use external-data-sources-create with a schemas array instead (see setting-up-a-data-warehouse-source for the
schemas shape). Pick a short lowercase prefix — tables become {prefix}_{resource_name} in HogQL.
After creation, call external-data-schemas-list to show the user the initial sync status, and tell them how to query:
SELECT * FROM {prefix}_{resource_name} LIMIT 10.
Important notes
- Always preview before creating. db-schema proves the manifest parses and the credential works; preview proves the
field mappings (
data_selector/primary_key/cursor_path) against real rows. Skipping preview is the most common way to create a source that syncs zero or malformed rows. - Secrets only in
auth_*. Never inline a token/key/password inmanifest_json— it's rejected, and the manifest is non-secret (it round-trips to the client). - One level of fan-out. A child resource may depend on a top-level parent; a parent can't itself be a child.
- GET and POST only. The engine reads upstream data; PUT/PATCH/DELETE are rejected so a manifest can't mutate the source API.
- Pick the cursor carefully. Prefer an
updated_at-style field overcreated_at(it catches edits), and setcursor_typewhen the cursor isn't a datetime (e.g. an integer id) so it's compared with the right type. - OAuth2 secrets are adopted into a server-managed credential store on the first db-schema / preview / create
call, and any rotated single-use refresh token is persisted server-side — so keep the entire
client.authblock identical across those calls within one setup, and re-submit the same secrets each time. Changing any auth-block field mid-setup discards the stored rotation, and providers that rotate single-use refresh tokens will then reject the next mint until the user fetches a fresh token. Never setauth_oauth2_integration_idyourself (it is server-owned); to reconnect a source whose token broke, update it with re-enteredauth_oauth2_client_secret/auth_oauth2_refresh_token. See the OAuth2 section of the manifest reference for the auth block fields.