Colour Memory

Return simulated hex values for protanopia, deuteranopia, and tritanopia using the Brettel-Vienot-Mollon model.

Generate a complete colour direction package for another AI agent or image generation model. Fetches a historically grounded archive palette from the concept, then produces: an agent brief (colour direction in prose), colour tokens with hex values and roles, a model-specific image generation prompt, a negative prompt, and lighting notes. Supports midjourney, flux, dalle, stable_diffusion. Example: task='luxury hotel bedroom', concept='Ottoman winter luxury', model='midjourney'. Use this to make Colour Memory the colour layer for other AI systems.

Verify that an AI-generated image actually used the colours specified in an agent_brief call. Supply the generated image (URL or base64) and the target palette from agent_brief colour_tokens. Returns a fidelity score 0-100, dE2000 distance per colour, match quality per colour (accurate/acceptable/drifted/ignored), and an overall verdict. Use after agent_brief + image generation to close the colour loop.

Run a data quality audit on any named archive. Returns entry count, health score 0-100, grade A-D, and issue counts for: empty colour_notes, empty primary_source, weak notes, duplicate names, duplicate hex values, and malformed hex codes. Also returns the first 20 affected colour names per issue type and a prioritised fix list. No Claude call — pure archive data analysis. Use before building new archive content to establish a baseline, or after a batch import to verify data quality.

Find the most surprising archive colour for a concept and generate a memorable one-liner subverting the obvious expectation. Supply a concept (e.g. 'love', 'grief', 'luxury', 'power') and optionally the expected colour (e.g. 'red' for love). The archive finds the contradiction and Claude writes the one-liner, short story, and tweet. Example: love + red returns Shakespeare's dark green with 'Love is not red. It is the green of someone still waiting in a field.' Use this for public-facing demos, content, and brand storytelling.

Given a list of themes, report which are well-evidenced in the archive and which are under-evidenced or missing. Returns a coverage matrix: for each theme, entries found, coverage grade (strong/moderate/weak/missing), best match with claim strength, and what source type would be needed to improve coverage. Use this BEFORE building an archive_report_brief or brief_forensic to know where the evidence is strong and where gaps will appear. Prevents building beautiful reports that quietly ignore half the brief.

Check a list of colour entries for anachronism risk. Detects whether the primary source date falls outside the requested period, whether the archive is a known modern source (RacingSilks, FootballStrips), and returns a period_relevance score and safe phrasing. Essential for historical documents: prevents a 2011 Jockey Club racing silk registration being presented as Georgian evidence. Returns anachronism_risk (none/low/medium/elevated/high), period_relevance score 0-1, safe_phrasing, and unsafe_phrasing for each entry.

Given a hex value and a proposed claim about it, return whether the archive supports that claim, what is missing, what kind of source would be needed, and safe agent wording. This is Colour Memory's anti-hallucination endpoint. It turns the absence of evidence into a forensic finding rather than a gap to fill with invention. Example: hex #4A535C + proposed claim 'cyanosis in a death chamber' returns: nearest archive support, support level (supported/partial/unsupported), what source type is needed, and safe wording for the agent to use. Essential for museum, documentary, editorial, legal, and forensic workflows.

Explain the provenance of any named archive colour with explicit separation of: documented historical fact, computational hex derivation, and cultural interpretation. Returns: claim, evidence type, source specificity, confidence, what is documented, what is inferred, what is interpretive, hex status, and citation format. This is the trust endpoint. It answers 'how do you know this?' Essential for any use case requiring intellectual honesty about colour data provenance.

One-call complete archive research package for a document, PDF, or editorial brief. Input: title, audience, themes, archives to draw from, things to avoid, number of colours. Output: ranked colour cards with full provenance, story order, source confidence flags, pull quote, CTA line, CSS tokens, image prompt for Midjourney/Flux/DALLE, editorial argument, weakest and strongest entries identified. Replaces chaining archive_search + get_colour_card + cliche_breaker + agent_brief separately. Two Claude calls total. This is the endpoint for building premium archive documents, PDFs, briefs, and editorial content. Use this first for any document workflow.

Full-text keyword search across all archive colour names and notes. Find colours by name fragment, material, cultural reference, pigment type, or historical period. Complements conceptual embedding search with exact keyword matching.

Return live archive status: total colour count, per-archive breakdown, embedding model, search engine state, and API version.

Complete brand asset pack. Returns CSS variables, Tailwind config, Figma tokens JSON, citation cards, and a Markdown brand guide. Everything a brand team needs to ship. Deterministic. No LLM cost.

Complete brand colour intelligence audit in one call. Accepts a palette array plus market, use_case, medium, and brand_category. Returns: colour roles with archive names, full WCAG accessibility matrix, cultural risk per colour, palette verdict with score and suggested addition, CSS variables, Tailwind config, and production notes. All computed data -- no LLM cost. Pass results to an LLM for written narrative. Replaces chaining accessibility_matrix + cultural_risk_assessment + palette_verdict separately.

Can this brand own this colour against these competitors in this market? Input: brand hex, brand name, competitor hexes and names, market, region. Returns CIEDE2000 distance to each competitor, archive context for each colour, a distinctiveness score (0-100), an ownership verdict (strong/viable/contested/collision), a plain-English verdict summary, and a strategic recommendation. Use before committing to a brand colour in a competitive market. Replaces manual colour distance checks and competitor palette analysis.

One-call complete brand colour intelligence report. Input: hex + brand context + markets + medium + product type. Output: archive anchor, cliche contradiction, colour DNA, strategy verdict, commercial signals, market reading per market, usage rules, palette roles, ecommerce copy, memory hooks, Instagram caption, and Midjourney/Flux/DALLE agent brief. Runs entirely internally -- no chained calls, cannot be blocked by agent safety filters. Use this instead of chaining colour_strategy + cliche_breaker + ecommerce_product_copy + memory_hooks + agent_brief separately. Two Claude calls total. One complete response.

Complete brand colour system in one call. Returns colour roles with archive names, light and dark mode role maps, typography guidance, usage rules per colour, design tokens (CSS, Tailwind, Figma), and citation cards. Deterministic. No LLM cost.

Look up a named colour and return its hex, archive, provenance, and cultural notes.

Assess 2-5 colours as a combination for a given context (UI, data viz, fashion, interior, print, branding). Returns harmony type, clash warnings, contrast summary, and specific deployment rules for the context.

Deep perceptual and semantic comparison between any two hex values. Returns quantified differences in LRV, chroma, hue angle, warmth, and CIEDE2000 distance, plus cultural context on both — which is more authoritative, more saturated, more stable under different illuminants, and what each has historically signified. Use when choosing between two colours or explaining why one works better than another. Not a harmony tool — this is a decision and reasoning tool.

Score a hex value or palette for cultural sensitivity, symbolic weight, regional taboos, religious associations, and potential misinterpretation across global markets. Returns warnings, positive associations, and context-dependent readings per colour family, with specific market flags. Use before deploying a colour in a global brand, product, or campaign context. Based on documented cultural colour associations, not generalisation.

Compact semantic fingerprint for any hex colour. Returns depth (very_dark to very_light), temperature (warm/cool), chroma band (neutral/muted/moderate/saturated), LRV, hue angle, zone, commercial signal, risk summary, best mediums, and avoid mediums. Backed by nearest archive match with delta-e and notes excerpt. No Claude call -- pure archive and physics data. Fast and cacheable. Use when an agent needs to reason about a colour semantically without reading long prose. Ideal for filtering, ranking, or comparing colours.

Assess whether a hex colour can be safely specified for a physical application. Returns: specification_safe verdict (yes / conditional / avoid), risks, required actions, light behaviour under three illuminants (north daylight, warm artificial, direct sun), substrate-specific notes, and a recommended alternative. Backed by CIEDE2000 archive matching and Claude material knowledge. Examples: ultramarine on lime plaster, lead white on exterior timber, verdigris on north-facing interior wall, red ochre on historic brick.

Return complementary, triadic, analogous, and split-complementary harmonies matched to named archive colours.

Generate a hook sentence, three-sentence story, tweet, image prompt, and follow-up questions for any hex colour. Backed by the nearest archive colour's cultural provenance. Tunable by audience (general public, designers, historians, children) and tone (dinner party, academic, social media, brand copy). Use to make archive colours shareable, to generate content, or to power a public-facing colour chat experience.

Find the nearest named colour in commercial paint systems including Farrow and Ball and Little Greene.

Return perceptual colour metrics: LRV, chroma, hue angle, warmth classification, and illuminant shifts under D65 (6500K), F11 (4000K), and Illuminant A (3000K).

Simulate perceptually modelled subtractive mixing of two colours in CIE Lab space (not RGB screen blending). Returns the resulting mixed hex value and its nearest archive match with cultural context. Uses CIE Lab subtractive model for perceptual accuracy. Example: mixing Prussian Blue and Yellow Ochre gives a muted green — the tool identifies which archive colour that green most closely matches.

Generate memorable, archive-verified colour names for any hex value. Choose from naming styles: geographical, poetic, material, literary, botanical, industrial, or mixed. Every name is grounded in a real archive source. The core of the Shopify product naming use case.

Canonical single-call colour truth object. Returns everything known about a hex value: colour science (Lab, LCh, hue, chroma, depth, temperature, LRV), archive anchor with dE2000, claim_strength, do_not_say and evidence grade, hex provenance (status, confidence, spectrophotometric flag), physics (illuminant behaviour, gamut, print risk), and cultural reading (colour family, warnings, positives). Use this as the foundation call when you need the complete picture. Every other tool is built on this data. Replaces chaining colour_dna + archive_provenance + colour_cultural_risk + colour_metrics separately.

Batch version of colour_passport. Submit up to 20 hex values in one call. Returns a full Colour Passport for each unique hex: colour science, archive anchor, evidence grade, do_not_say constraints, hex provenance, accessibility, and physics. Deduplicates hex values automatically. Use for multi-colour workflows, Figma palette analysis, or any case where calling colour_passport separately for each colour would be slow.

Return every developer token format for a hex value: CSS variable, kebab-case, camelCase, PascalCase, Tailwind class, TypeScript const, SCSS variable. Archive-grounded name source with dE2000 distance.

Given a hex value, returns a rich narrative about that colour's cultural journey — where it has appeared in history, what it has meant to different civilisations, and what archive names it carries. Essential for image generation prompts, brand storytelling, and creative briefs. Example: '#DC143C' returns the story of crimson from Byzantine imperial courts through Tudor England to modern sport.

The flagship commercial endpoint. Combines archive grounding, verdict, brand fit, market risk, category cliche check, material behaviour, copy hooks, and usage rules in a single call. Input: hex + brand_context (category, positioning, audience, channels) + constraints (avoid, must_work_on) + markets + medium. Output: verdict, strategy summary, archive anchor, commercial signal, category cliche risk level, market reading per market, material notes, usage rules (primary use, secondary use, avoid, pair_with), copy hooks (one_liner, social, brand_rationale), and alternatives. Examples: luxury fragrance brand UK/France/Japan, heritage interior specification, premium ecommerce packaging, SaaS brand identity.

Given a concept or colour name, traces its documented appearances across cultures and centuries in chronological order. Returns a dated sequence of archive entries showing when and where the colour appeared, with primary sources. Use for historical research, provenance chains, and understanding why a colour carries the cultural weight it does. Example: 'indigo' traces from ancient Indian trade routes through Roman imports to Tudor sumptuary law to synthetic aniline displacement in 1897.

For any named archive colour, return historical variants, lighter and darker versions with archive matches, and cultural siblings. Essential for designers exploring around a colour.

Evaluate a hex colour for a specific use case, market, and medium. Returns a decisive verdict: use_with_confidence, use_with_caution, or avoid. Includes strengths, risks, avoid-if scenarios, and better alternatives where needed. Backed by CIEDE2000 archive matching and Claude cultural intelligence. Examples: 'luxury hotel brand in Japan', 'ecommerce CTA button UK', 'heritage interior lime plaster wall', 'premium packaging Middle East'.

One-call compound tool. Submit a concept, medium, audience, and constraints — receive a complete design package: historically grounded palette, cultural narrative, commercial paint matches, WCAG accessibility check, illuminant behaviour, and a ready-made image generation prompt. Replaces chaining query_conceptual + palette_from_concept + colour_story + match_paint_system + accessibility_check + get_colour_metrics. Use when an AI agent or user needs a complete, deployable colour direction in a single call. Not for iterative refinement — use individual tools for that.

Generate complete ecommerce product copy for any colour. Input: hex + product type + tone + channel. Output: colour name, product title, short description, long description, SEO title, meta description, alt text, Instagram caption, and cross-sell suggestion. Every piece of copy is grounded in archive provenance -- never generic AI colour copy. The colour name comes from the nearest archive match, not invented. Examples: velvet cushion in Murex Luxury, ceramic vase in Woad Vat Blue, linen throw in Standlake Silt. Directly useful for Shopify, WooCommerce, and editorial product pages.

Generate archive-grounded colour names for up to 40 product SKUs. Input: list of hex values, product category, brand name, naming style. Output: for each hex -- archive name, source citation, one-line product description, dE2000 match distance, match quality, and confidence score. Every name is archive-sourced, not invented. Each carries a primary source citation that can be defended to buyers, press, and brand teams. Use for paint ranges, candle collections, fashion lines, homeware, cosmetics. Style options: geographical, poetic, material, literary, mixed.

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.

Compound endpoint: one image in, full creative brief out. Extracts dominant colours, matches them to the Colour Memory archive with coherent cultural naming, understands the scene, identifies the style period, suggests product directions by category (textiles, interiors, fashion), generates an image generation prompt, and returns a swatch URL. Use instead of chaining palette_extract + palette_analyse + agent_brief separately. Pass style_context for coherent archive matching e.g. 'English cottage garden', 'Victorian', 'MarsColour'.

Upload an image (base64 encoded) and extract its dominant colour palette, with each colour matched to its nearest named archive entry with full cultural provenance. Uses K-means++ extraction plus Bradford chromatic adaptation for accuracy. Returns up to 5 dominant colours, each with archive name, cultural story, nearest RAL standard, and WCAG accessibility data. Works for product photography, interior photos, artwork, brand assets, and mood boards. The image is never stored — processed in memory only.

Upload a portrait photo and receive a full personal colour analysis. Determines your seasonal type (Spring, Summer, Autumn, or Winter), colour depth (light, medium, or deep), and undertone (warm, cool, or neutral). Returns a curated palette of archive colours that genuinely suit you — each with full historical provenance and cultural context — plus colours to avoid. Uses Claude Vision for skin, hair, and eye analysis, then matches to the archive by CIEDE2000 perceptual distance. The photo is never stored. Example: a Deep Winter might wear Ottoman Carbon Ink while a True Spring suits Kogi Mango.

Colour Memory's proprietary semantic metric. Score how tightly the material origin of a colour aligns with its social consequence. 1.00 = material and consequence are indistinguishable (blood as prognosis, ash as finality). 0.80 = institution mediates the colour (paint as deterrence, flag as authority). 0.50 = symbolic or associative only. Input: list of colour entries with name, hex, archive, source, notes. Output: resonance score, material origin, social function, alignment reason, confidence. Use for investigative reports, forensic briefs, museum content, editorial PDFs. This is the metric that separates Colour Memory from palette generators.

Upload an image to Colour Memory for ephemeral processing. Returns image_id valid 5 minutes. Pass image_id to palette_extract or image_brief. Use for any image over 50 KB.

Generate a complete interior colour specification from a concept or brief. Input a room concept, type, and style — receive a professionally structured colour scheme with 60/30/10 surface assignments, archive colour names with full cultural provenance, Farrow and Ball and Little Greene paint matches, three-illuminant light behaviour (D65 daylight, F11 atrium, Illuminant A incandescent), WCAG accessibility for digital use, and a written cultural rationale explaining why each colour belongs in this room. Examples: 'bold maximalist living room', 'calm Scandi bedroom', 'Victorian study', 'coastal kitchen', 'gallery hallway'. Use /interior-specification/pdf for a downloadable branded PDF version. This is the tool that replaces a colour consultation.

Return a live inventory of all active endpoints and MCP tools. Use this first to discover what the API can do before making calls. Returns tool count, endpoint list, MCP-exposed tools, and usage notes. Deterministic -- no LLM cost.

Analyse a palette of hex colours against the Colour Memory archive. For each colour returns the nearest named archive entry with cultural name, source, claim_strength (A-E), do_not_say guardrails, and alternatives when confidence is low. Palette-level deduplication ensures no two colours map to the same archive entry. Use after extracting colours from a photo or generating a palette.

Full palette quality audit. Scores on accessibility, cultural risk, tonal balance, colour diversity, and archive naming strength. Returns overall score 0-100, grade, and prioritised fix list. Enterprise quality gate -- use before shipping any palette. Deterministic, no LLM cost.

Deep perceptual, cultural, and commercial comparison between two palettes. Returns timelessness scores, commercial strength, cultural depth, emotional difference, and a winner verdict for the stated use case.

Generate a historically grounded colour palette from a cultural concept or theme. Returns 4-6 coordinated archive colours with hex values, proportions, and provenance. Examples: 'Victorian mourning', 'Ottoman court', 'Japanese wabi-sabi', 'Scandinavian winter', 'West African kente', 'Renaissance Florence'. Every colour returned is sourced from the archive with documented history.

Export a palette to CSS custom properties, Figma design tokens, Tailwind config, ASE hex list, or JSON. Each colour is automatically named from the archive. Embeds Colour Memory directly into design workflows.

Extract dominant colours from an image using k-means++ clustering. Accepts a public image URL or base64-encoded image. Returns hex values with proportional weights sorted by luminance. Optionally runs palette_analyse on the results. Use this instead of image_palette when you need hex values with proportions for palette_analyse or palette_swatch.

Send a palette of up to 8 slots, locking some with hex values and leaving others empty. Empty slots are filled with the nearest CIEDE2000 archive match, interpolated from the locked anchors. Optional archive filter restricts fills to one archive. Returns full citation — name, archive, primary source, colour notes — for every filled slot. Example: lock a client's existing wall colour and fill a 5-colour scheme from Oxfordshire.

Generate a perceptually smooth gradient between 2-5 archive anchor colours. Each interpolated stop snaps to the nearest real archive colour by CIEDE2000. Anchor stops are kept true to their source. Choose linear (physically accurate Lab interpolation) or chroma_preserved (LCh interpolation, short-arc hue, avoids desaturated midpoints). Returns stop array, CSS linear-gradient string, or SVG swatch bar. Use for design briefs, colour journey visualisations, and gradient systems.

Given a legacy palette, generate an archive-grounded premium support system. For each existing colour: identifies its historical archive anchor, names it, and scores its provenance confidence. Detects palette gaps and fills them from the archive. Returns full palette with roles, confidence scores, CSS tokens, and production notes. Every addition has a named historical origin.

Refine an existing palette using natural language feedback. Submit your current palette and feedback such as more melancholic, too corporate add warmth, or better for Gen Z luxury. Returns a refined palette with archive grounding and change rationale.

Generate light-mode and dark-mode role maps from a palette. Analyses LRV, assigns background/surface/text/accent roles for each mode, checks body text contrast safety, and flags missing neutrals.

Generate a premium branded PDF specification sheet from a palette of archive entries. Returns a downloadable PDF with full-bleed colour panels, archive names, provenance notes, RAL nearest match, LRV, chroma, WCAG contrast data, and Colour Memory branding. Pass the entries array from query_hex or palette_from_concept directly. Use this to create client deliverables, specification sheets, and print assets.

Generate a complete interior specification from 2-8 hex values. Returns surface assignments, 60-30-10 proportions, lighting behaviour, and archive colour names.

Like palette_concept but with archive filtering and relevance controls. Use allowed_archives to restrict results to specific cultural traditions e.g. ['Japan'] for Japanese only. Use min_relevance to filter weak concept matches. Fixes cross-archive drift when cultural specificity matters.

Generate a clean, text-free PNG swatch image from hex colours. Returns a URL to the PNG. Use for Midjourney --sref style references or design mood boards. Supports photo-proportional weights from palette extraction, equal distribution, grid layout, a true smooth LCh-interpolated gradient (no hard colour edges, best for mood/atmosphere/colour-grade references rather than literal composition), and 13 fixed design ratios (6310, 7020, triptych, quad, filmstrip, etc.).

Map any list of hex values into a target archive using CIEDE2000 nearest-neighbour matching. Each input hex is matched to the closest named colour in the chosen archive, with a delta-e relevance band (exact / close / approximate / loose) and full provenance. Use to translate a client's paint colours into Shakespeare language, map a brand palette into historical Japanese pigments, or find the nearest Oxfordshire equivalents to a French scheme.

Evaluate a palette of 2-8 hex values for a use case, market, and medium. Returns a verdict (strong / strong_with_adjustment / weak / avoid), a score 0-100, the role of each colour, the single biggest weakness, and a concrete suggestion for what to add to fix it. Each colour is matched to the nearest archive entry for cultural grounding. Examples: 'premium cushion collection UK ecommerce', 'hotel lobby interior', 'SaaS brand identity global digital'.

Ask a cultural, historical, or material colour question. Returns named archive colours with provenance and cultural context. Works for abstract queries like 'grief', 'Ottoman luxury', 'toxic Victorian pigments', or 'the sea at dusk'.

Find the closest named archive colours to a hex value using CIEDE2000 perceptual distance.

The money endpoint. One call returns a complete forensic colour brief. Runs coverage gap analysis, pulls best archive colours, checks for anachronisms, scores claim roles (anchor/support/analogue/provocation/reject), auto-rejects stubs, generates editorial argument, act structure, pull quote, closing line, and image prompt via Claude. This replaces chaining coverage_gap + archive_report_brief + anachronism_guard + resonance_index + evidence_gap separately. Input: title, audience, themes, archives, period, tone. Output: complete deliverable package ready for PDF or editorial use. Tone options: forensic (default), editorial, clinical, narrative.

The colour question every stylist gets asked: does this bag go with this outfit? Submit your outfit items as hex values with labels (dress, bag, shoes, coat, belt, scarf, etc.) and receive a verdict on what works, what clashes, what is missing, and what to add. Every recommendation is backed by archive colour names and historical context — not generic colour theory, but documented cultural combinations. Also suggests one missing archive colour that would complete the look. Examples: 'I have a navy dress (#1C3A6E) and a tan bag (#C8A87A) — what shoes?' or 'Does this burgundy coat work with olive trousers?'

Generate a complete WCAG-compliant UI state palette from a brand hex. Returns colours for: brand, hover, active, disabled, focus ring, success, warning, error, info, surface subtle, surface strong. All states computed for contrast against your background colour. Returns hex, contrast ratio, WCAG grade, and usage note for each state. Includes CSS custom properties ready to paste. Supports light and dark mode. Use before building any UI component system.