extract_image_colours

shallow

io.github.DigbyO/colour-memory · Verify this server

Extract dominant colours from a photograph using Colour Memory's proprietary k-means++ algorithm. Requires either a public image_url, or an image_id. If you only have a raw uploaded file with no public URL (e.g. a local file path or a ChatGPT file attachment without a usable download_url), call ingest_image first to get an image_id, then pass that image_id here. Returns hex values with proportional weights. Optionally matches colours against the archive with style_context for coherent cultural naming. Use this before image_brief when you have an uploaded photograph.

100.0/100

1 trials · measured 8 days ago

extract_image_colours scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.DigbyO/colour-memory, measured 25 Aug 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
2026-08-25100.0shallowv0.2.0

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: extract_image_colours
[![Vouch score](https://vouch.tools/api/tools/a72f1783-f6e6-4673-a0d5-50377ebb0ddf/badge.svg)](https://vouch.tools/tools/a72f1783-f6e6-4673-a0d5-50377ebb0ddf)
extract_image_colours — Vouch