AI Client Spend Caps with Webhooks, OpenAI & Data Tables
AI Client Spend Caps with Webhooks, OpenAI & Data Tables
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AI Client Spend Caps with Webhooks, OpenAI & Data Tables
Regular price
£23.99
Regular price
£23.99
Sale price
Unit price
/
per
Put a hard cap on AI spend per client—automatic enforcement with webhooks + Data Tables + OpenAI-compatible limits
This n8n workflow enforces AI Client Spend Caps for multiple clients. Every request is checked against a Data Table usage ledger, and once a client hits (or exceeds) their cap, the workflow immediately returns HTTP 429—without calling your OpenAI-compatible model.
What this workflow does
-
Receives client requests via webhook: A
POSTrequest includesclient_idandprompt, secured with header authentication. - Resolves usage period + cap: The workflow validates the request, determines the current usage window (month/day/all-time), and calculates the cap using a default value plus optional per-client overrides.
-
Reads usage from an n8n Data Table: It looks up the current period record using a
row_keyformatted asclient_id|period. - Hard-stops at the limit: If the client’s spent amount is at or over the cap, the workflow returns HTTP 429 immediately.
-
Calls OpenAI-compatible chat completions only when allowed: If under the cap, it sends the prompt to the configured
chat/completionsendpoint. -
Records usage + returns results: It extracts token usage from the provider response (or estimates it), updates
spentandcallsin the Data Table, and returns the answer plus updated usage details.
Use cases
- Agencies running AI workflows for multiple customers and needing predictable usage-based billing controls.
- Freelancers deploying a shared AI endpoint where each client must have a strict spend limit.
- SaaS operators building internal tooling to prevent unexpected model costs per customer and per period.
Technical details
- Webhook with Header Auth for incoming requests.
-
n8n Data Table named
client_spendwith columns:row_key,client_id,period,last_call_at,spent,calls. - Nodes/logic: if, set, code, webhook, data table (plus sticky note for documentation).
- OpenAI-compatible model call to
chat/completionsand automatic HTTP 429 rejection when capped.
