algorithm_find

shallow

io.github.pipeworx-io/algorithm-finder · Verify this server

Which algorithm, data structure or technique fits a computational problem. Describe the problem in words ("shortest route between two points with positive costs", "assign workers to jobs minimising cost", "find near-duplicate records", "schedule jobs to minimise lateness") and get the standard textbook methods (preconditions, worst-case / expected / amortized bounds, when to use and when not, alternatives, each fact cited to CLRS and other textbooks and to the NIST Dictionary of Algorithms and Data Structures), the open questions whose answers decide between them, Skiena Algorithm Repository problem pages, and recent research papers with dates from Hugging Face Papers and arXiv. want=common for textbook only, novel for recent papers only.

100.0/100

1 trials · measured today

algorithm_find scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.pipeworx-io/algorithm-finder, measured 20 Oct 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
2026-10-20100.0shallowv0.2.0

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: algorithm_find
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algorithm_find — Vouch