classify_row

shallow

io.github.pipeworx-io/arcgis-cupertino · Verify this server

Cheap categorization: given a company and a list of candidate labels, decide which labels apply — the most common GTM/AI usage shape (tagging a list by industry, ICP fit, etc.), one small model call. Same evidence contract as research_row: each label comes back {label, applies, evidence_url, quote, status: found|inferred|not_established} — "found" only when the model's quote is independently verified as a verbatim substring of the text used. Pass text directly (cheapest — no fetch) or entity.domain to fetch the homepage once as a fallback. No text and no domain means every label is not_established with no model call made.

100.0/100

1 trials · measured today

classify_row scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.pipeworx-io/arcgis-cupertino, 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
open
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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Available for every tool, scored or not — not a verification perk. Always links back to this page.

Vouch score: classify_row
[![Vouch score](https://vouch.tools/api/tools/eef93f54-1c22-4bce-8d9d-b98c260710ed/badge.svg)](https://vouch.tools/tools/eef93f54-1c22-4bce-8d9d-b98c260710ed)
classify_row — Vouch