--- name: consuming-endpoints-from-client-code description: > Wire a PostHog endpoint into a client app or SDK. Covers fetching the OpenAPI spec, generating a typed client with openapi-generator or @hey-api/openapi-ts, sending the right auth header, shaping the variables payload (HogQL code_name vs insight breakdown property), handling rate-limit and materialised-endpoint error responses. Use when the user says "how do I call my endpoint", "generate a client for this", or "what auth header do I use". --- # Consuming endpoints from client code This skill is the **caller-side** counterpart to `creating-an-endpoint`. It helps integrate an existing endpoint into a separate codebase — a mobile app, server backend, customer dashboard, or downstream pipeline. No PostHog code is modified here. ## When to use this skill - "How do I call my endpoint?" / "What does a request look like?" - "Generate a typed TypeScript / Python / Go client for this endpoint" - "I'm getting a 401 calling the endpoint" / auth questions - "The endpoint rejects my call when I omit `user_id`" → materialised-endpoint variable questions - "How do I handle rate limits?" If the user is **creating** the endpoint, use `creating-an-endpoint` first. ## Available tools | Tool | Purpose | | ----------------------- | ---------------------------------------------------------------------------------------------------------- | | `endpoint-get` | Full config for a named endpoint, including the query shape and required variables | | `endpoint-openapi-spec` | OpenAPI 3.0 spec for one endpoint, ready to feed to a code generator | | `endpoint-run` | A live call against the endpoint — useful to confirm a payload works before sharing it with the user's app | ## The endpoint URL ```text /api/projects/{team_id}/endpoints/{name}/run ``` - `team_id` is the project ID (numeric). Available in PostHog under project settings, or via `projects-get` if the user doesn't know it. - `name` is the endpoint name — see `endpoints-get-all` if the user isn't sure. - The trailing `/run` is required. `POST` is the canonical method. `GET` also works for simple cases without a request body but POST is preferred — variables go in the body. ## Auth Endpoints are authenticated with a **personal API key**. The header is: ```http Authorization: Bearer ``` Keys are scoped — for endpoints, the key needs at least `endpoint:read`. If the user gets a 403, they're usually missing the scope; if they get a 401, the key is missing or malformed. Never put a personal API key in client-side code that's shipped to end users (mobile apps, browser JS). Personal API keys grant scoped account access. For customer-facing apps, route through the user's own backend, which holds the key. ## The request payload ```json { "variables": { "code_name_1": value, "code_name_2": value }, "limit": 100, "offset": 0, "refresh": "cache" } ``` | Field | Notes | | ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `variables` | Keyed by `code_name` for HogQL endpoints; for insight endpoints with breakdowns, key is the **breakdown property name** | | `limit` | Max rows returned. | | `offset` | Skip rows. Only HogQL endpoints | | `refresh` | `"cache"` (return cached results if fresh enough), `"force"` (always recalculate), `"direct"` (bypass materialisation, materialised endpoints only). Default is `"cache"` | Call `endpoint-get` to see the exact variable shape. The response includes the query definition with declared variables — each variable's `code_name` is what the client should send. ## Materialised endpoints: all variables are required If `endpoint-get` shows `is_materialized: true` on the current version, the endpoint requires **every declared variable** to be passed on each call. This is a security boundary — without filters, a single call would return the entire pre-aggregated dataset. Common symptom: the user's app worked when the endpoint was unmaterialised, then started returning 400 errors after materialisation was enabled. The error message lists which variables are missing. Optional/partial variables on materialised endpoints are a known limitation the PostHog team plans to lift. If requiring every variable is blocking the user's use case, send a note via the `agent-feedback` tool — that demand signal is how the team prioritises it. ## Generating a typed client The endpoint exposes its own OpenAPI 3.0 spec via `endpoint-openapi-spec`. Feed that into a code generator: | Language | Tool | Command shape | | ---------- | ----------------------- | -------------------------------------------------------------------------------- | | TypeScript | `@hey-api/openapi-ts` | `openapi-ts -i spec.json -o ./generated` | | TypeScript | `openapi-generator-cli` | `openapi-generator-cli generate -i spec.json -g typescript-fetch -o ./generated` | | Python | `openapi-generator-cli` | `openapi-generator-cli generate -i spec.json -g python -o ./generated` | | Go | `oapi-codegen` | `oapi-codegen -package=client spec.json > client.go` | The generated client gives the user types for the variables payload and the response shape. Re- generate when the endpoint's query changes (each new version may have different variables). If the user has multiple endpoints, generate a spec per endpoint and either combine them, or generate one client per endpoint and use them side-by-side. ## Response shape A typical successful response: ```json { "results": [[...], [...]], "columns": ["col_a", "col_b"], "types": ["Int64", "String"], "hasMore": false, "name": "endpoint_name", "endpoint_version": 4, "endpoint_version_created_at": "2026-01-15T..." } ``` - `results` is an array of rows; each row is an array of cell values in the order of `columns`. - `endpoint_version` tells the client which version actually ran — useful for logging and for pinning to a known version with `?version=N`. For insight endpoints, the response shape depends on the query kind (`TrendsQuery`, `LifecycleQuery`, `RetentionQuery`) — the OpenAPI spec captures the right shape for the current version. Insight kinds that can't be materialised (e.g. `FunnelsQuery`) still return their inline result shape. ## Calling from the PostHog CLI For local testing, scripts, or CI, the repo's `posthog-cli` calls endpoints without hand-rolling HTTP: - `posthog-cli exp endpoints run` — execute an endpoint (from a local YAML definition) - `posthog-cli exp endpoints {list,get,pull,push,diff}` — inspect endpoints, or manage them as YAML files in version control (GitOps-style) Auth uses the same personal API key, via `posthog-cli login` or the `POSTHOG_CLI_API_KEY` / `POSTHOG_CLI_PROJECT_ID` / `POSTHOG_CLI_HOST` env vars. (These live under `exp` — experimental, may change.) ## Error responses to handle | Status | When | Handling | | ------ | ------------------------------------------------------------------------------ | -------------------------------------------------------------------------------- | | 400 | Missing required variable on a materialised endpoint, or invalid variable type | Surface the error message; fix the call | | 401 | Missing / wrong personal API key | Check the Authorization header | | 403 | Key lacks `endpoint:read` scope, or endpoint is in another project | Adjust key scopes | | 404 | Endpoint name typo, or endpoint not active | Confirm name; check `is_active` | | 429 | Rate limited — limits are per team, not per endpoint (see note below) | Exponential backoff; cache responses client-side if possible | | 5xx | Query execution failure (ClickHouse error, timeout, etc.) | Retry with backoff. If persistent, hand off to `diagnosing-endpoint-performance` | ## Workflow 1. Confirm endpoint name. If unknown, list them with `execute-sql` on `system.data_modeling_endpoints` (or `endpoints-get-all`). 2. `endpoint-get` to see the full shape: variables, materialisation status, query kind. 3. Decide the auth posture: personal API key on a server, never client-side. 4. If the user wants generated types, call `endpoint-openapi-spec`, hand them the spec, and recommend a generator for their language. 5. Build a sample request payload from the variable declarations and walk through a test call. 6. Optionally call `endpoint-run` from this skill to confirm the payload works. 7. Wrap up with handling notes: the materialised-variables rule, the rate-limit shape, and pinning to a version with `?version=N`. ## Example interaction ```text User: "I want to call monthly_active_users from my Node.js backend. Can you help me wire it up with types?" Agent steps: - endpoint-get monthly_active_users → HogQL, variables: lookback_days (int, default 30), org_id (string, no default), is_materialized: true - "Two things to know upfront: 1. This endpoint is materialised, so both lookback_days and org_id must be passed on every call. Calls without them will be rejected. 2. You'll need a personal API key with endpoint:read scope. Set it as PH_API_KEY in your server env — never ship it in client code." - endpoint-openapi-spec monthly_active_users → returns spec - "Here's the spec. Drop it in your repo and run: pnpm dlx @hey-api/openapi-ts -i spec.json -o ./generated/posthog That gives you typed client functions. A minimum call looks like: POST /api/projects/12345/endpoints/monthly_active_users/run Authorization: Bearer Content-Type: application/json { 'variables': { 'org_id': 'acme', 'lookback_days': 30 } } The response includes columns and rows — your client will pick that up from the generated types. Want me to do a sample call to verify the payload works?" ``` ## Important notes - **Personal API keys are server-side only.** Never ship them in mobile apps or browser JS. - **Re-generate the client when the query changes.** Each new endpoint version may add or remove variables — keep types in sync by re-fetching the spec. - **Materialised endpoints reject calls missing variables.** This is intentional. If the user reports a 400 after materialisation was enabled, the fix is in the call, not in the endpoint. - **Pin to a version — don't rely on "latest".** Always call with `?version=N`. Without it the latest active version runs, so a future query edit (which cuts a new version) can silently change a caller's results. Bump the pinned version deliberately once you've validated the new one. - **Caching on the client side is fair game.** The endpoint already caches via `data_freshness_seconds`, but the client can layer another cache on top for hot paths. Be mindful of total staleness (endpoint cache + client cache). - **Rate limits are per team, by category — not per endpoint.** Calls to non-materialised endpoints share the team-wide API-query budget (~240/min burst, ~2400/hour sustained) with all other query traffic; materialised endpoints draw on a separate, higher shared bucket (~1200/min, ~12000/hour). There is no per-endpoint-name limit, so hammering one endpoint can starve others on the same team. Heavy callers should batch where possible and back off on 429. - **Pricing.** Calling endpoints isn't billed today, but it will be once endpoints ship alongside the [managed warehouse](https://posthog.com/data-stack/managed-warehouse). Flag this to the user if they're planning high-volume usage so the future cost isn't a surprise. - **Tell PostHog what's missing.** If an error, a limit, or a missing capability gets in the way, use the `agent-feedback` tool — it's the main signal the team uses to improve endpoints and these tools.