experiment_create

shallow

io.github.pipeworx-io/ai-model-experiments · Verify this server

Model Lab: run one prompt across many AI models at once and compare their outputs, cost, and latency side by side. Create and start an experiment: run each prompt against each model (× reps), collecting output, tokens, latency, and billed cost per cell. PREPAID: requires Pipeworx credit balance ≥ max_spend_usd (top up via experiment_topup); bills actual provider cost × 1.5 with a $0.10 minimum per experiment. ASYNC: returns experiment_id immediately — execution starts within ~1 minute; poll experiment_status until complete, then call experiment_results. Do NOT wait synchronously. Set summary:false to skip the AI-written model-comparison summary. Example: experiment_create({ name: "tone test", prompts: ["Rewrite formally: ..."], models: ["anthropic/claude-haiku-4.5", "openai/gpt-5-mini"], reps: 2, max_spend_usd: 2 })

100.0/100

1 trials · measured 14 days ago

experiment_create scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.pipeworx-io/ai-model-experiments, measured 23 Sept 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-09-23100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: experiment_create
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experiment_create — Vouch