Start with the actual credit source

The most important question is not the face value. It is where the credits came from. Purchased credits, startup grants, accelerator allocations, enterprise commitments, and promotional credits can all carry different restrictions.

When a seller submits credits, the broker intake should identify the provider, billing entity, account owner, grant or invoice source, expiry window, and any written transfer language. That source check determines whether a buyer match is even worth exploring.

  • Google Cloud credits may involve billing-account and startup-program restrictions.
  • Anthropic and OpenAI credits are terms-sensitive and should be reviewed before any transfer claim.
  • AWS Bedrock and Azure OpenAI credits depend heavily on payer, tenant, entity, and invoice structure.

Do not post sensitive credit details publicly

Public posts can attract low-quality buyers, account-takeover requests, and unrealistic discount expectations. They also expose seller identity, provider, balance, expiry, and proof details before a safe path is known.

A private intake flow keeps the first step narrow: collect enough information to estimate demand and risk, then decide whether proof should be requested under consent, NDA, or a broker-managed closing packet.

Prepare proof before asking for valuation

Strong proof makes a seller lead easier to qualify. Weak proof creates delays and lowers buyer confidence. The goal is not to publish screenshots online; it is to prepare evidence that a broker can request and review when a real buyer path exists.

  • Current balance screenshot or billing-console evidence.
  • Expiry date or usage deadline.
  • Grant terms, invoice, startup-program terms, or account-source note.
  • Billing entity, account owner, tenant, payer, or organization structure.
  • Known service, geography, model, or account restrictions.

Expect the payout range to depend on expiry and risk

A large balance with a short expiry window may be less valuable than a smaller balance with clean documentation and a longer usage period. Buyers also price risk differently by provider and by how the credit can actually be consumed.

The right first answer is an indicative range, not a guaranteed bid. Final pricing should wait until source, transfer path, buyer need, and paperwork are reviewed.

Use a private broker workflow when a match is supportable

If the credits pass initial review, the next step is a controlled introduction. That means both sides understand what is being transferred or assigned, what evidence was reviewed, what happens if access fails, and how payment or escrow will be handled.

AI Credits is intentionally not a self-serve checkout. The site captures seller and buyer details, then a human operator takes over for verification and closing coordination.