Consuming Endpoints From Client Code

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

The endpoint URL

/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:

Authorization: Bearer <key>

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

{  "variables": { "code_name_1": value, "code_name_2": value },  "limit": 100,  "offset": 0,  "refresh": "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:

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:

{  "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

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

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 <PH_API_KEY>     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. 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.