Standing Framework

Benchmark as a Service

Know which system to trust.

Give us the candidates and the work that matters. We run them, compare the outcomes, and return the evidence you need to choose, ship, repair, or hold.

Useful for model selection, agent qualification, harness comparison, and release gates.

Use Cases

Start with the decision.

Benchmark as a Service is for moments when a claim is too important to accept from a demo.

ChooseWhich model should do this workload?

Same tasks, same rules, side-by-side result.

QualifyIs this agent safe to put in the loop?

Completion, policy fit, review burden, and evidence quality.

CompareIs the harness worth the overhead?

Direct run versus governed run, with cost and failure differences visible.

GateCan this version ship?

Repeat the workload and catch regressions before release.

What You Get

The answer and the evidence.

The report names the recommendation, the tradeoffs, the failures, and the limits. Enough to decide without pretending the benchmark proved more than it did.

Answer
Choose, ship, repair, hold, or rerun.
Comparison
Outcome, cost, latency, review burden, and recovery.
Failures
Blocked, timed out, invalid, unresolved, and weak-evidence cases.
Boundary
What the result supports, and what it does not support.

Example Readout

The winner depends on the decision.

One system solves more. Another costs less and leaves a stronger trail. The benchmark makes that choice visible.

System Resolved Evidence complete Median cost/task Review/task Recovery success
Agent A
lower cost, stronger evidence trail
76% 94% $0.82 0.7 min 71%
Agent B
higher solve rate, weaker evidence trail
81% 61% $2.41 2.6 min 43%
Three-panel Failure Museum comic titled The Benchmark Ate The Product

Boundary

A benchmark is useful only if it changes a decision.

A benchmark becomes theater when it chases a score without preserving the workload, cost, failures, or evidence trail. Standing Framework keeps the result connected to the system that performed the work and the decision it is meant to inform.

It does not claim public leaderboard authority, customer validation, production API availability, product-market fit, or general model superiority.

Access

Inspect before you run.

Benchmark work is requested and scoped with an owner. The public API exposes evidence and boundaries, not a self-serve benchmark runner.

Request Controlled comparison

Bring the system, workload, rules, and decision the benchmark should inform.

Held No runner endpoint

No public benchmark execution, upload, webhook, payment, or certification endpoint is exposed.

Next Step

Bring the system and the work.

Use Benchmark as a Service before a claim turns into an operating commitment.