When the Aggregator Suspends Your Key vs. When a Vendor Blocks You: Two Different Recovery Playbooks

Why the distinction matters

When an API call starts failing with authentication or permission errors, the instinct is to assume your key was revoked. In an aggregator setup there are at least two independent layers that can reject a request: the aggregator's own account and key controls, and the upstream model provider behind a given route. They produce overlapping symptoms but have different owners, timelines, and evidence requirements. Sending the wrong artifacts to the wrong layer just adds a round trip.

Layer 1: aggregator-side suspension

The aggregator is the party that issued your key and holds your balance. It can restrict a key or account for reasons that have nothing to do with any model vendor.

Typical causes:

• Unpaid or exhausted balance, or a top-up that has not been confirmed on-chain yet.
• A key that was rotated, deleted, or scoped down by an account admin.
• Automated abuse or anomaly controls triggered by traffic patterns.
• A billing or usage dispute under review.

Typical symptoms:

• Every model fails at once, including ones from unrelated vendors.
• Errors arrive before any model-specific processing, often as an auth or account-status response.
• The failure is stable and reproducible from any network or client.

Because payment here is USDC on Base with no KYC, the aggregator often cannot identify you by identity documents. That makes transaction-level evidence the primary way to prove account ownership and balance state.

Layer 2: upstream vendor block

An upstream block happens when the model provider behind a route rejects the request. The aggregator is relaying, not deciding.

Typical causes:

• The provider's own content or usage policy flagged a request.
• A regional or account-level restriction on the provider side.
• Provider-side capacity or routing issues affecting a specific model family.
• Provider rate limiting on the aggregator's upstream credentials.

Typical symptoms:

• Failures are scoped to one model family or vendor while others keep working.
• The error text references policy, content, region, or capacity rather than your account.
• Behavior changes with prompt content, or is intermittent across identical requests.

A useful rule of thumb: if the blast radius is one vendor, suspect upstream. If it is the whole key, suspect the aggregator.

Evidence checklist for an aggregator-side hold

Collect this before opening a ticket:

• The API key identifier (not the secret itself) and the account or workspace it belongs to.
• Timestamps in UTC for the first failure and a few subsequent ones.
• The exact error payload and HTTP status from a minimal request.
• The Base transaction hash for your most recent USDC top-up, plus the sending address, so balance state can be reconciled.
• Whether the same key works for any model at all, which separates a key-level hold from a route-level issue.
• A minimal request that reproduces the failure, stripped of application-specific logic.

Do not paste the full secret key into a ticket. The key ID or a masked prefix is enough for lookup, and a compromised key should be rotated regardless.

Evidence checklist for an upstream block

Here the aggregator needs to reproduce and route the complaint upstream, so precision matters:

• The specific model or route that failed, with the exact model identifier you sent.
• Request timestamps in UTC, several of them, to show whether the pattern is persistent or sporadic.
• The full error response, including any provider request ID or trace ID if one is returned.
• A redacted request body that reproduces the issue, with sensitive content removed but structure intact.
• Confirmation that other model families still work on the same key, which localizes the problem.
• Whether retries with identical input succeed, which distinguishes policy blocks from transient capacity errors.

Handling each case differently in code

Treat the two failure classes as separate branches rather than one generic error path.

• Classify auth, account-status, and balance errors as aggregator-side: stop retrying, alert the account owner, and check balance and key state.
• Classify model-scoped policy and capacity errors as upstream: retry with backoff where transient, and fail over to a different model family where the block is policy-related.
• Log the model identifier, status code, and any provider request ID on every failure so the two classes stay distinguishable after the fact.
• Keep the reproduction request in your logs in redacted form; it is the single most useful artifact in either ticket.

Designing so a single block does not stall you

• Keep more than one model family reachable with the same key so an upstream block on one vendor degrades rather than stops your service.
• Separate keys per environment or workload so an aggregator-side hold on one key does not take down everything.
• Monitor balance and top-up confirmation, since an unconfirmed USDC deposit is a common and entirely avoidable cause of an aggregator-side failure.
• Record the mapping between your requests and model identifiers, so when something breaks you can name the route precisely.

What recovery looks like

Aggregator-side holds are resolved by the aggregator once balance, ownership, and key state are reconciled; the strongest evidence is transaction hashes and a minimal reproduction. Upstream blocks are resolved by the provider, relayed through the aggregator; the strongest evidence is scoped timestamps, model identifiers, and exact error payloads. Matching your evidence to the layer that actually rejected the request is what turns a vague outage into a fixable ticket.