{ "openapi": "3.1.1", "info": { "title": "Lumina API", "version": "1.0.0", "summary": "Deterministic tools for people and AI agents.", "description": "Every endpoint performs the same calculation as the human page and returns inputs, result, units, assumptions, sources, warnings and computedAt. MCP endpoint: /mcp." }, "servers": [ { "url": "https://lumina.usefulweb.site" } ], "paths": { "/api/v1/tools": { "get": { "operationId": "listTools", "summary": "Catalog of all tools", "responses": { "200": { "description": "Tool list.", "content": { "application/json": { "schema": { "type": "object" } } } } } } }, "/api/v1/tools/{id}": { "get": { "operationId": "getTool", "summary": "Definition of one tool", "parameters": [ { "in": "path", "name": "id", "required": true, "schema": { "type": "string", "enum": [ "lumina-resize-planner", "lumina-print-planner", "lumina-color-analyzer", "lumina-photo-layout", "lumina-image-splitter", "lumina-gif-maker", "lumina-layer-transform", "lumina-blend-mixer", "lumina-image-mask", "lumina-histogram-analyzer", "lumina-tone-processor" ] } } ], "responses": { "200": { "description": "Tool definition.", "content": { "application/json": { "schema": { "type": "object" } } } }, "404": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tools/lumina-resize-planner/calculate": { "post": { "operationId": "calculateLuminaResizePlanner", "summary": "Plan a precise crop and output size before resizing a photo.", "description": "Calculate a centered crop, final pixel dimensions and scale for a target box. Fit keeps the whole image; fill crops to the requested aspect ratio. Upscaling is optional.\n\nMethodology:\n- Fit uses the smaller target/source scale; fill uses the larger one and a centered crop.\n- When enlargement is disabled, scale is capped at 1. Pixel coordinates and output dimensions are rounded to whole pixels.", "tags": [ "apps" ], "x-mcp-tool": "lumina_resize_planner", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaResizePlannerInput" }, "examples": { "example1": { "summary": "Square social photo", "value": { "width": 6000, "height": 4000, "targetWidth": 1080, "targetHeight": 1080, "mode": "cover", "upscale": false } }, "example2": { "summary": "Fit a small photo without enlargement", "value": { "width": 600, "height": 400, "targetWidth": 1920, "targetHeight": 1080, "mode": "contain" } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaResizePlannerResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tools/lumina-print-planner/calculate": { "post": { "operationId": "calculateLuminaPrintPlanner", "summary": "Find how large your photo can print at your chosen resolution.", "description": "Convert image pixel dimensions into print dimensions in inches and centimeters at a specified pixels-per-inch resolution. Compare sizes without uploading the image.\n\nMethodology:\n- Print width in inches equals pixel width divided by PPI. One inch equals 2.54 centimeters.\n- PPI describes image pixel density, not printer dot density. Calculated dimensions do not guarantee print quality.", "tags": [ "apps" ], "x-mcp-tool": "lumina_print_planner", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaPrintPlannerInput" }, "examples": { "example1": { "summary": "24 MP photo at 300 PPI", "value": { "width": 6000, "height": 4000, "ppi": 300 } }, "example2": { "summary": "Web image at 150 PPI", "value": { "width": 1920, "height": 1080, "ppi": 150 } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaPrintPlannerResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tools/lumina-color-analyzer/calculate": { "post": { "operationId": "calculateLuminaColorAnalyzer", "summary": "Check palette luminance and choose readable text for photos and graphics.", "description": "Analyze up to 64 six-digit hex colors for relative luminance and contrast against black and white. Use the results to choose watermark or caption colors for opaque backgrounds.\n\nMethodology:\n- Convert sRGB components to linear light and calculate relative luminance using coefficients 0.2126, 0.7152 and 0.0722.\n- Contrast ratio is (lighter luminance + 0.05) / (darker luminance + 0.05). Choose black or white by the larger ratio.\n- A single color cannot certify text over an entire photograph. Check the actual text area and opacity.", "tags": [ "apps" ], "x-mcp-tool": "lumina_color_analyzer", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaColorAnalyzerInput" }, "examples": { "example1": { "summary": "Alpine color palette", "value": { "colors": "#164e63 #c5d6a5 #f4e6cf" } }, "example2": { "summary": "Black and white extremes", "value": { "colors": "#000000 #ffffff" } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaColorAnalyzerResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tools/lumina-photo-layout/calculate": { "post": { "operationId": "calculateLuminaPhotoLayout", "summary": "Make a photo grid or join photos horizontally and vertically.", "description": "Upload photos in a ZIP to compose a collage, a contact-sheet grid, or a continuous horizontal or vertical strip. Control spacing, margins, fit and background, then download a PNG, JPEG or WebP.\n\nMethodology:\n- Images are detected by content, auto-oriented and converted to sRGB. ZIP entries keep their archive order.\n- The same integer layout geometry powers Lumina Photo Lab. Fill crops from the center; fit adds the selected background.\n- Contact mode places a small numbered index in each reserved caption strip; the browser Photo Lab also supports filename captions.\n- Canvas limit: 16 MP and 16000 px per side. Metadata is stripped. Download artifacts expire after about two hours.", "tags": [ "apps" ], "x-mcp-tool": "lumina_photo_layout", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaPhotoLayoutInput" }, "examples": { "example1": { "summary": "Single-image gallery canvas", "value": { "images": { "filename": "sample.png", "contentType": "image/png", "contentBase64": "iVBORw0KGgoAAAANSUhEUgAAACAAAAAgAQMAAABJtOi3AAAABlBMVEX/////AADrWueTAAAAEklEQVQI12NgIBb8/09dgjgAAPcnH+GApkH4AAAAAElFTkSuQmCC" }, "width": 320, "height": 240, "gap": 8, "margin": 16, "columns": 2, "mode": "grid" } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaPhotoLayoutResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tools/lumina-image-splitter/calculate": { "post": { "operationId": "calculateLuminaImageSplitter", "summary": "Slice a photo into numbered tiles without losing edge pixels.", "description": "Split one image into a row-and-column grid and download every tile as a PNG in one ZIP. Uneven dimensions are distributed across the tiles so the complete photo can be reconstructed.\n\nMethodology:\n- The source is auto-oriented. Integer boundaries use floor(index × size / count), ensuring no gaps, overlaps or missing edge pixels.\n- At most 64 nonempty tiles; original decoded photo limited to 16 MP. ZIP names encode row and column.\n- Outputs are PNGs with original EXIF/GPS removed. The ZIP includes a JSON manifest with the exact tile coordinates.", "tags": [ "apps" ], "x-mcp-tool": "lumina_image_splitter", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaImageSplitterInput" }, "examples": { "example1": { "summary": "Three-by-three tiles", "value": { "images": { "filename": "sample.png", "contentType": "image/png", "contentBase64": "iVBORw0KGgoAAAANSUhEUgAAACAAAAAgAQMAAABJtOi3AAAABlBMVEX/////AADrWueTAAAAEklEQVQI12NgIBb8/09dgjgAAPcnH+GApkH4AAAAAElFTkSuQmCC" }, "rows": 3, "columns": 3 } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaImageSplitterResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tools/lumina-gif-maker/calculate": { "post": { "operationId": "calculateLuminaGifMaker", "summary": "Turn an ordered set of photos into a looping animated GIF.", "description": "Upload a ZIP of photos, choose frame dimensions, timing and fit, and download an animated GIF. A shared deterministic encoder uses a fixed 256-color palette, with no external service.\n\nMethodology:\n- Archive entry order is playback order. Each image is auto-oriented, centered, resized and flattened on the chosen background.\n- Frame duration is rounded to the GIF time unit of 10 milliseconds. The limit is 24 frames and 12 million total frame pixels.\n- GIF uses a fixed RGB332 palette (256 colors), no transparency and no adaptive photographic quantization. File sizes may be larger than optimized GIF encoders.", "tags": [ "apps" ], "x-mcp-tool": "lumina_gif_maker", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaGifMakerInput" }, "examples": { "example1": { "summary": "One-frame GIF", "value": { "images": { "filename": "sample.png", "contentType": "image/png", "contentBase64": "iVBORw0KGgoAAAANSUhEUgAAACAAAAAgAQMAAABJtOi3AAAABlBMVEX/////AADrWueTAAAAEklEQVQI12NgIBb8/09dgjgAAPcnH+GApkH4AAAAAElFTkSuQmCC" }, "width": 32, "height": 32, "delay": 200 } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaGifMakerResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tools/lumina-layer-transform/calculate": { "post": { "operationId": "calculateLuminaLayerTransform", "summary": "Calculate a layer transform, rotated corners and canvas bounds.", "description": "Enter canvas and layer dimensions, center position, rotation and flips. Get the affine matrix for normalized layer coordinates plus exact corner and bounding-box coordinates.\n\nMethodology:\n- For layer-local coordinates u/v from 0 to 1, canvas x = a*u + c*v + e and y = b*u + d*v + f.\n- The layer rotates around its center. Flips apply in local space before rotation. Coordinates outside the canvas are retained.\n- The same affine transform is used by Design Layers for selection, dragging and mask coordinates.", "tags": [ "apps" ], "x-mcp-tool": "lumina_layer_transform", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaLayerTransformInput" }, "examples": { "example1": { "summary": "A rotated photo on a cover", "value": { "canvasWidth": 1000, "canvasHeight": 700, "width": 600, "height": 400, "x": 500, "y": 350, "rotation": 20 } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaLayerTransformResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tools/lumina-blend-mixer/calculate": { "post": { "operationId": "calculateLuminaBlendMixer", "summary": "Preview eight blend modes and opacity for two opaque colors.", "description": "Mix a source HEX color over a backdrop using normal, multiply, screen, overlay, darken, lighten, difference or exclusion. Calculate the final sRGB color at a chosen layer opacity.\n\nMethodology:\n- Separable blend formulas operate on normalized sRGB channel values. Source-over with an opaque backdrop is (1 − opacity) × backdrop + opacity × blend(backdrop,source).\n- Results round to 8-bit RGB. This calculator assumes opaque colors; image layer alpha is additionally handled by the browser compositor.", "tags": [ "apps" ], "x-mcp-tool": "lumina_blend_mixer", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaBlendMixerInput" }, "examples": { "example1": { "summary": "A gentle green multiply tint", "value": { "backdrop": "#c8d6bd", "source": "#426a60", "opacity": 60, "mode": "multiply" } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaBlendMixerResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tools/lumina-image-mask/calculate": { "post": { "operationId": "calculateLuminaImageMask", "summary": "Clip a photo into a soft rectangle or ellipse with PNG transparency.", "description": "Upload a photo and apply a rectangular or elliptical alpha mask with adjustable bounds, inward feathering and inversion. Download a transparent PNG while preserving the original image dimensions.\n\nMethodology:\n- The source is auto-oriented and converted to sRGB. Its existing alpha is multiplied by mask coverage. Source dimensions are preserved; metadata is stripped.\n- Rectangle distance uses the nearest edge; ellipse distance uses normalized radial distance scaled by the smaller radius. Feather transitions inward with smoothstep; it approximates distance for noncircular ellipses.\n- Inputs are limited to 4 MP. GIF uses its first frame. This is a geometric mask, not automatic subject detection. The browser Design Layers mode uses the same mask engine.", "tags": [ "apps" ], "x-mcp-tool": "lumina_image_mask", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaImageMaskInput" }, "examples": { "example1": { "summary": "A circular transparent cutout", "value": { "image": { "filename": "sample.png", "contentType": "image/png", "contentBase64": "iVBORw0KGgoAAAANSUhEUgAAACAAAAAgAQMAAABJtOi3AAAABlBMVEX/////AADrWueTAAAAEklEQVQI12NgIBb8/09dgjgAAPcnH+GApkH4AAAAAElFTkSuQmCC" }, "shape": "ellipse", "feather": 3 } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaImageMaskResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tools/lumina-histogram-analyzer/calculate": { "post": { "operationId": "calculateLuminaHistogramAnalyzer", "summary": "Inspect RGB histograms, clipped channels and tonal percentiles in a photo.", "description": "Upload a photo to measure luminance and RGB distributions, shadow and highlight clipping, and tonal percentiles. Download the full 256-bin analysis and get percentile-based black and white starting points.\n\nMethodology:\n- Auto-oriented, display-referred 8-bit sRGB analysis. Fully transparent pixels are excluded; other pixels count equally.\n- Luma is rounded 0.2126 R + 0.7152 G + 0.0722 B. Clipping counts any channel at or below 2, or at or above 253. This does not measure sensor exposure or recover clipped RAW data.\n- Report 1st, 50th and 99th luminance percentiles using nearest-rank selection. Suggested levels discard 0.5% from each luminance tail; flat or empty images retain 0–255. Values are suggestions, not an exposure judgment.", "tags": [ "apps" ], "x-mcp-tool": "lumina_histogram_analyzer", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaHistogramAnalyzerInput" }, "examples": { "example1": { "summary": "Inspect a red image", "value": { "image": { "filename": "sample.png", "contentType": "image/png", "contentBase64": "iVBORw0KGgoAAAANSUhEUgAAACAAAAAgAQMAAABJtOi3AAAABlBMVEX/////AADrWueTAAAAEklEQVQI12NgIBb8/09dgjgAAPcnH+GApkH4AAAAAElFTkSuQmCC" } } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaHistogramAnalyzerResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tools/lumina-tone-processor/calculate": { "post": { "operationId": "calculateLuminaToneProcessor", "summary": "Apply levels, RGB curves and white balance, or reuse a Lumina photo profile.", "description": "Develop a photo with black and white points, gamma, five-point master and RGB curves, and linear-light white-balance gains. Download a transparent PNG and reusable settings profile, or paste a profile saved from Lumina.\n\nMethodology:\n- Auto-oriented, display-referred 8-bit sRGB analysis. Fully transparent pixels are excluded; other pixels count equally.\n- Luma is rounded 0.2126 R + 0.7152 G + 0.0722 B. Clipping counts any channel at or below 2, or at or above 253. This does not measure sensor exposure or recover clipped RAW data.\n- A supplied Lumina profile overrides all manual fields. Otherwise apply linear-light RGB gains, existing Develop exposure/contrast/saturation, encoded-sRGB levels and gamma, master curve, then channel curves. Five fixed inputs are interpolated with straight segments; outputs may be non-monotonic.\n- Gamma uses normalizedInput^(1/gamma). PNG retains the source alpha and omits source metadata. Profiles contain only adjustments and tone settings; camera PP3, RAW and ICC profiles are not supported.", "tags": [ "apps" ], "x-mcp-tool": "lumina_tone_processor", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaToneProcessorInput" }, "examples": { "example1": { "summary": "Gentle contrast curve", "value": { "image": { "filename": "sample.png", "contentType": "image/png", "contentBase64": "iVBORw0KGgoAAAANSUhEUgAAACAAAAAgAQMAAABJtOi3AAAABlBMVEX/////AADrWueTAAAAEklEQVQI12NgIBb8/09dgjgAAPcnH+GApkH4AAAAAElFTkSuQmCC" }, "master": "0,50,128,206,255" } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaToneProcessorResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/workflows": { "get": { "operationId": "listWorkflows", "summary": "Multi-tool workflows", "responses": { "200": { "description": "Workflow list.", "content": { "application/json": { "schema": { "type": "object" } } } } } } } }, "components": { "schemas": { "Problem": { "type": "object", "description": "RFC 9457 problem details. 422 responses include per-field `errors`.", "required": [ "type", "title", "status", "detail" ], "properties": { "type": { "type": "string" }, "title": { "type": "string" }, "status": { "type": "integer" }, "detail": { "type": "string" }, "code": { "type": "string" }, "errors": { "type": "array", "items": { "type": "object", "required": [ "field", "message" ], "properties": { "field": { "type": "string" }, "message": { "type": "string" } } } } } }, "LuminaResizePlannerInput": { "type": "object", "additionalProperties": false, "properties": { "width": { "title": "Source width (px)", "type": "integer", "minimum": 1, "maximum": 100000, "default": 6000 }, "height": { "title": "Source height (px)", "type": "integer", "minimum": 1, "maximum": 100000, "default": 4000 }, "targetWidth": { "title": "Target width (px)", "type": "integer", "minimum": 1, "maximum": 100000, "default": 1080 }, "targetHeight": { "title": "Target height (px)", "type": "integer", "minimum": 1, "maximum": 100000, "default": 1080 }, "mode": { "title": "Fit mode", "type": "string", "enum": [ "contain", "cover" ], "default": "cover" }, "upscale": { "title": "Allow enlargement", "type": "boolean", "default": false } }, "required": [] }, "LuminaResizePlannerResult": { "type": "object", "additionalProperties": false, "required": [ "schemaVersion", "tool", "computedAt", "inputs", "summary", "result", "units", "assumptions", "sources", "warnings", "presentation", "links" ], "properties": { "schemaVersion": { "type": "string", "const": "1.0" }, "tool": { "type": "object", "additionalProperties": false, "required": [ "id", "name", "version" ], "properties": { "id": { "type": "string" }, "name": { "type": "string" }, "version": { "type": "string" } } }, "computedAt": { "type": "string", "format": "date-time" }, "inputs": { "type": "object", "description": "Normalised inputs actually used, including applied defaults." }, "summary": { "type": "string" }, "result": { "type": "object", "additionalProperties": false, "required": [ "width", "height", "scale", "crop", "megapixels", "upscaled" ], "properties": { "width": { "type": "integer" }, "height": { "type": "integer" }, "scale": { "type": "number" }, "megapixels": { "type": "number" }, "upscaled": { "type": "boolean" }, "crop": { "type": "object", "additionalProperties": false, "required": [ "x", "y", "width", "height" ], "properties": { "x": { "type": "integer" }, "y": { "type": "integer" }, "width": { "type": "integer" }, "height": { "type": "integer" } } } } }, "units": { "type": "object", "additionalProperties": { "type": "string" } }, "assumptions": { "type": "array", "items": { "type": "string" } }, "sources": { "type": "array", "items": { "type": "object", "additionalProperties": false, "required": [ "title" ], "properties": { "title": { "type": "string" }, "url": { "type": "string" }, "publisher": { "type": "string" }, "retrievedAt": { "type": "string" }, "note": { "type": "string" } } } }, "warnings": { "type": "array", "items": { "type": "string" } }, "presentation": { "type": "array", "items": { "type": "object" }, "description": "Display blocks used by the human page (same data)." }, "links": { "type": "object", "additionalProperties": false, "required": [ "human", "api", "openapi", "methodology" ], "properties": { "human": { "type": "string", "format": "uri" }, "api": { 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