Before You Appeal a Suspension: Reconstructing What Your Key Actually Did
A suspension appeal is only as strong as the evidence behind it. This guide shows how to pull your own client-side request logs and the aggregator's usage records into a single factual timeline, so your ticket states what your key actually did — volume, sources, timing — instead of asking vaguely to be unblocked.
Why a Vague Appeal Usually Fails
When a key is suspended, the first instinct is to open a ticket that says "my key was blocked, please restore it." That asks support to do the investigative work for you. Support sees an automated flag, not your intent, and a request with no evidence gives them nothing to check the flag against.
A stronger appeal does the opposite: it hands reviewers a short, verifiable story of what the key did, drawn from two independent sources that you can reconcile before you ever press send.
- Your side: the client, SDK, or gateway that issued the requests.
- The aggregator's side: the usage and request records tied to your key.
If those two accounts line up, the suspension looks like what it usually is — a pattern that tripped a threshold — rather than something unexplained.
Step 1: Know What Counts as "What the Key Did"
Before collecting anything, decide which facts actually matter. A useful timeline answers four questions:
- Volume: how many requests and how much usage, over what window.
- Sources: which IPs, regions, environments, or applications sent them.
- Timing: when the activity started, peaked, and stopped — including bursts.
- Identity: which key (or sub-key) was used, and whether anything else shared it.
Anything that does not speak to those four points is noise in a ticket. Keep the evidence tight.
Step 2: Collect Your Client-Side Logs
Most suspensions are explained by something in your own infrastructure: a retry loop, a shared key in a staging environment, a scheduled job that fanned out, or a misconfigured client. Pull logs from every place requests originate.
- Application logs: request timestamps, model names, status codes, and latency. If you log request IDs returned by the API, keep them — they are the join key to the aggregator's records.
- Gateway or proxy logs: source IP, path, and upstream response codes. These catch traffic your app logs miss.
- Scheduler and job logs: cron jobs, batch workers, and queue consumers that call the API on a timer.
- Deployment records: when a new build, environment, or teammate started using the key.
Export a window that starts comfortably before the first suspicious activity and ends after it. A raw dump is fine internally; you will summarize it before it goes in the ticket.
Step 3: Pull the Aggregator's Usage Records
Your dashboard usage view is the counterpart to your logs. Look for the same dimensions you collected locally:
- Request counts and token or unit usage by day, and by hour if available.
- Per-key breakdown, especially if you hold more than one key.
- Any error breakdown the dashboard exposes (rate-limit responses, auth failures, malformed requests).
- Request IDs or timestamps you can match against your own entries.
Export this data rather than reading it off the screen. You want it in a form you can sort and compare, and reviewers appreciate a tidy table over a screenshot.
Step 4: Build One Timeline
The value is in the merge, not either dataset alone. Put both sources into a single table sorted by time, with a column marking which side each row came from.
A workable layout:
- Timestamp (normalize to one timezone, ideally UTC).
- Source (client log / dashboard record).
- Event (request burst, config change, deploy, error spike).
- Key or request ID where available.
- Note explaining the event in one line.
Then annotate the timeline with the few events that explain the shape of the traffic: the deploy that introduced a retry, the environment that was accidentally pointed at production, the job that ran twice. Reviewers are looking for a coherent cause, and a timeline with three labeled events is far more persuasive than a thousand raw rows.
Step 5: Reconcile the Two Sides Before You Send
Do not put the ticket together until the two accounts agree — or until you can explain precisely why they differ.
- Counts should be close. Small gaps are normal (clock skew, buffered logs). Large gaps mean traffic came from somewhere you have not found yet, and you should keep looking.
- Timestamps should overlap. If the dashboard shows a burst your logs do not, suspect a shared key, a forgotten environment, or a client outside your logging.
- Sources should match. Every IP or environment in the dashboard should map to something you recognize.
If reconciliation surfaces a cause — a leaked key, a runaway loop, a misconfigured client — say so plainly. Owning the cause and showing the fix is stronger than arguing the flag was wrong.
Step 6: Write the Ticket Around Facts
Structure the appeal so a reviewer can verify each claim quickly:
- What happened: one sentence — the key was suspended, and here is the activity window in question.
- What the key did: volume, sources, and timing, in a few bullet points.
- What we found: the cause or the finding that the traffic matches expected use.
- What we changed: the retry cap, the rotated key, the environment fix, the added logging.
- How to verify: attach the reconciled timeline and point to the specific request IDs or windows that match the dashboard.
Keep it short. Attach the table as a file or a compact block rather than pasting weeks of logs. State facts and let the evidence carry the request.
Step 7: Prevent the Next Suspension
Once the appeal is out, close the loop so you are not back here:
- Give each environment and application its own key so usage is attributable.
- Log the request IDs the API returns; they make future reconciliation trivial.
- Cap retries and add backoff so a transient error cannot become a traffic spike.
- Alert on unusual per-key volume before a provider-side threshold does it for you.
- Rotate keys that were shared too widely, and remove them from old configs.
The Point
A suspension appeal is an evidence exercise, not a persuasion exercise. Pull your client-side logs, pull the dashboard records, merge them into one timeline, and reconcile the two before you write a word to support. A ticket that states volume, sources, and timing — and shows its work — gives reviewers exactly what they need to act, and gives you a clear record of what your key actually did.