experiment_estimate

shallow

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

Dry-run cost estimate for an experiment BEFORE creating it — cell count and estimated billed cost range (at our 1.5× pricing) for prompts × models × reps. Free to call, no side effects, does not need credit balance. Same spec shape as experiment_create. Example: experiment_estimate({ prompts: ["Summarize: ..."], models: ["anthropic/claude-sonnet-4.5", "openai/gpt-5"], reps: 2 })

100.0/100

1 trials · measured 14 days ago

experiment_estimate 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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Available for every tool, scored or not — not a verification perk. Always links back to this page.

Vouch score: experiment_estimate
[![Vouch score](https://vouch.tools/api/tools/f5e73bd7-37c8-4b2c-a9b5-983397268354/badge.svg)](https://vouch.tools/tools/f5e73bd7-37c8-4b2c-a9b5-983397268354)
experiment_estimate — Vouch