Quotaflow
OpenAIAnthropicGoogleZhipu AIIndependent checks for the APIs you buy

Test the API route
before you trust the offer.

Route Evidence checks whether an API behaves like the model and source it claims to provide, then looks for downgrade, reverse-route, token-inflation, and cache-accounting signals before you rely on it.

Example route testclaude-opus-4-8 · claimed AWS Bedrock route
Evidence consistent
Anthropic
Test targetClaude API routeResponses + streaming · controlled test request
Model behavior
Matched
Route signals
Consistent
Usage ratio
1.04×
Cache accounting
Normal
Test verdict

Observed capability, response envelope, streaming behavior, and token accounting are consistent with the claimed route. This is route evidence—not a claim that a private upstream has been directly inspected.

Checks included in the report
Model behaviorPassedExpected capabilities and response shape are present.
Route integrityReviewedNo obvious reverse-route or downgrade indicator in this test.
Usage integrityNormalNo abnormal token multiplier or cache-usage pattern observed.
Test modes

Check before live traffic.
Keep checking after rollout.

Use a one-off test to validate a candidate route, then keep monitoring the paths that matter to your workloads.

One-off test

Test a route before you trust it.

Run a controlled check against the API endpoint and compare the observed behavior with the model and source it claims to provide.

Use it before accepting a new offer or moving a production workload onto an unfamiliar route.
  • ✓Capability and response-envelope checks
  • ✓Declared source versus observed route signals
  • ✓Latency, streaming, and error-pattern evidence
  • ✓Token and cache-usage sanity checks
Run a route test
Continuous monitoring

Watch for route drift after launch.

Keep testing a production route over time so changes in behavior, source signals, or usage accounting do not go unnoticed.

Useful when a route is cheap enough to be interesting but important enough to require ongoing verification.
  • ✓Repeated model-behavior checks
  • ✓Downgrade and reverse-route indicators
  • ✓Usage-token and cache-accounting anomalies
  • ✓Evidence history for route review
See monitoring access

Verify the route
before it becomes your dependency.

Test a new API offer for model behavior, route integrity, and usage accounting. Keep monitoring the routes that carry real production work.

Start with an estimate. Move to a measured evaluation before live traffic changes.

Run a route test
FAQ

API route testing details.

What can Route Evidence verify?
It tests observable behavior: capability, API envelope, streaming and error patterns, latency signals, and token or cache accounting. The result is evidence about the route you tested.
Can a test prove a provider private upstream with certainty?
No. An API test cannot inspect a provider private infrastructure. It can identify inconsistencies between the route claim and observable behavior, then classify the evidence and risk rather than make an absolute provenance claim.
How does it find token inflation?
It compares observed token and cache accounting against the expected request and response shape, looking for abnormal usage multipliers or billing patterns that need review.
Why monitor an API after the first test?
A route can change after onboarding. Continuous checks make later model substitution, reverse-routing indicators, behavior drift, or abnormal usage visible to the team.