Guide
Resellers
Serve your own customers through Experiential. Tag every request with your end customer's safety_identifier and one customer's abuse is attributed to that customer, not to your organization.
Who this is for
You are a reseller when requests from many of your own customers reach us through your API keys: an app, an agent platform, or another gateway. Without attribution, every request looks like it came from your organization, so moderation decisions about one of your customers land on all of them.
Reseller attribution is granted by our team after a short review, the same review as KYC. Email founders@experientiallabs.ai with your organization ID, what you resell, roughly how many end customers you serve, and how you verify them. Until it is granted, the rules below do not apply and your organization is treated as one customer, whatever identifiers you send.
Send a safety_identifier on every request
Set safety_identifier to a stable ID for the end customer who triggered the request. It is the OpenAI field for exactly this purpose; on the Chat Completions and Responses APIs we read it, and fall back to the deprecated user field when it is absent. Use the same value for the same customer on every request.
curl https://api-pr-1230.preview.experientiallabs.ai/v1/chat/completions \-H "Authorization: Bearer xpl_..." \-H "Content-Type: application/json" \-d '{"model": "deepseek-v4.1-flash-uncensored","safety_identifier": "cust_7f3a9c","messages": [{"role": "user", "content": "hello"}]}'
- Use an opaque ID, such as a hash of your internal user ID. Never send an email address, a name or any other personal data.
- It stays with us. We never forward it to the model provider. We store it with the request for attribution and usage reporting, and moderation keeps only a SHA-256 of it.
- It is in your usage export as
attribution_label, so you can bill or audit per customer; see the Cost API.
How moderation treats a reseller
Requests to uncensored models are reviewed against our content moderation policies. For an organization with reseller attribution, flags are counted per end customer:
- One end customer crosses the threshold: that customer is suspended from uncensored models. Requests carrying their
safety_identifierget403 uncensored_end_user_suspended. Your organization and your other customers keep working, and the suspended customer can still use every other model. - A flagged request has no identifier: it counts against your organization, as if you sent it yourself.
- Many end customers are flagged: once flagged requests come from 10 or more distinct end customers within the review window, your organization is suspended (
403 uncensored_access_suspended). A pattern like that means abuse is not being stopped upstream of us, and it is also what rotating identifiers to avoid the per-customer threshold looks like.
uncensored_end_user_suspended, stop sending uncensored requests for that customer and review their activity on your side. Retrying under a new identifier counts toward the organization limit above.Reseller terms
Reseller attribution is offered on these conditions:
- You are responsible for your end customers' use of the platform, and you pass our content moderation policies and terms through to them.
- Each
safety_identifieridentifies exactly one of your end customers, stays stable for that customer, and contains no personal data. - You never issue new identifiers to a customer to get around a suspension, and you never share one identifier across customers to dilute flags.
- You act on suspensions we report for your end customers, and you keep enough records to tell us which of your customers an identifier belongs to if we ask.
- We may remove reseller attribution, or suspend your organization, if these conditions are not met.
Appeals
If you believe an end customer was suspended in error, email founders@experientiallabs.ai with your organization ID, the customer's safety_identifier and a request ID from the refused request. We review each case by hand and lift the suspension for that customer only. An organization suspension is appealed the usual way, described in Content moderation.