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AIAlign Capability Evaluation – Weighted Pass Rate & Score Aggregator
x402
AIAlign Capability Evaluation – Weighted Pass Rate & Score Aggregator is a paid API for AI agents from aialign.halowerk.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-14).
Aggregates caller-labeled test cases into weighted pass rates and weighted scores with deterministic per-category summaries for AI capability evaluation.
Price / call$0.003
Success—
StatusUnknown
How this service works
Computes weighted pass rates and weighted scores from caller-labeled test outcomes, with deterministic category summaries. It does not run tests, validate labels, measure untested capabilities or establish deployment safety; the result is only as representative as the supplied evaluation set.
Output
Returns weighted pass rates and weighted aggregate scores per category, computed deterministically from the supplied test case array. Each category entry reflects the sum-of-weights-normalized pass rate and score across all test cases tagged to that category. The result is purely a function of the submitted data; no external inference or validation is performed.
Example use cases
LLM benchmark rollup by capability
“We ran 2,000 test cases across categories like 'math', 'coding', and 'instruction-following', each with a pass/fail flag, a 0–1 score, and a weight reflecting test importance — can you compute the weighted pass rate and weighted score for each category so I can see where the model is weakest?”
Safety evaluation weighted summary
“I have a set of safety eval test cases tagged as 'harmful-content', 'privacy', or 'bias', each with a pass/fail label, a numeric score, and a weight. Please aggregate them into weighted pass rates and category-level summaries so I can report the overall safety posture.”
Regression testing score comparison prep
“After our latest model update I labeled 300 regression test cases across three feature categories with their pass/fail outcomes, scores, and weights — compute the weighted scores and pass rates per category so I can compare against last sprint's baseline.”
Technical details
Endpoint
POSThttps://aialign.halowerk.com/v1/capability-evalWhen to prefer
Choose this endpoint when you already have labeled test outcomes and want a fast, deterministic, weighted aggregation by category — not when you need to actually run tests, validate labels, or assess untested capabilities. It is ideal for post-evaluation rollup pipelines where the evaluation set is fixed and you need reproducible per-category pass rate and score summaries without any ML inference overhead.
Side effects
- Missing required fields (case_id, category, passed, score, weight) cause validation errors
- Weight values outside [0.000001, 1000000] or scores outside [0, 1] are rejected
- Empty test_cases array or array exceeding 100,000 items returns a bounds error
- Malformed JSON body returns a 400 parse error
- Payment failure (x402) returns a 402 response before processing begins
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| test_cases | array |
Tags
x402
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