{ "openapi": "3.0.1", "info": { "title": "AI Drone Roof Inspection Report — Findings & Repair Scope", "description": "Turn drone and ground roof photos into a per-building inspection report: defect findings per photo, condition grade, repair scope, materials and labor from your price list, a Markdown report and contact sheet. Rules mode or Claude vision. Pay per photo and per building.", "version": "0.1", "x-build-id": "BbSGdQ8YGn2OyfyhS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/owlabee~drone-roof-inspection-report/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-owlabee-drone-roof-inspection-report", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/owlabee~drone-roof-inspection-report/runs": { "post": { "operationId": "runs-sync-owlabee-drone-roof-inspection-report", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/owlabee~drone-roof-inspection-report/run-sync": { "post": { "operationId": "run-sync-owlabee-drone-roof-inspection-report", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "imageUrls" ], "properties": { "imageUrls": { "title": "Roof photo URLs", "minItems": 1, "uniqueItems": true, "type": "array", "description": "Roof photos to inspect, drone or ground, one per line, in the order you want them numbered (the first line is Photo 1): public http(s) image URLs, Apify key-value-store references in the form kvs:/// (use kvs://default/ for this run's own store), or data: URLs with inline base64 images. JPEG, PNG, WebP, GIF and TIFF are supported; HEIC usually cannot be decoded on the platform, convert it to JPEG first. EXIF time, GPS and camera are read from each file. The three prefilled photos (public-domain U.S. government photos from Wikimedia Commons) are the small, fast set used by Apify's daily automated test.", "items": { "type": "string" } }, "buildings": { "title": "Building labels (optional)", "type": "array", "description": "Tell the Actor which photos belong to which building, as a JSON array of objects: `label` (e.g. \"Building 12\" or \"Clubhouse\"), `photos` (photo numbers and ranges like \"1-7, 158\"), `stories` (integer, used for the height charge) and `units` (free text, e.g. \"12-17\"). Photos not covered by a label are grouped automatically. Without labels, photos are grouped by GPS distance when they carry GPS, otherwise by gaps in the capture time. Example: [{\"label\": \"Building 1\", \"photos\": \"1-12\", \"stories\": 2, \"units\": \"101-108\"}].", "items": { "type": "object", "properties": { "label": { "title": "Label", "type": "string", "description": "Building name shown in the report." }, "photos": { "title": "Photos", "type": "string", "description": "Photo numbers and ranges, e.g. \"1-7, 158\"." }, "stories": { "title": "Stories", "type": "integer", "description": "Number of stories, used for the height charge." }, "units": { "title": "Units", "type": "string", "description": "Units or addresses covered by this roof, free text." } }, "required": [ "label" ] } }, "analyzer": { "title": "Analyzer", "enum": [ "rules", "byok", "hosted" ], "type": "string", "description": "Leave empty for the default (the Console prefills `rules` so Apify's daily automated test never calls a model; clear it or pick a mode): Claude vision on the Actor's own key (`hosted`) when the Actor has its model key configured, otherwise the free-of-model rules analyzer. Set `rules` for a model-free run (EXIF index, grouping into buildings, contact sheet, empty findings; no key), or `byok` to use your own Anthropic API key (tokens billed by Anthropic to you). In model modes a model problem never fails the run: the photo gets the rules output, `analysisMethod: \"rules-fallback\"` with an `analysisWarning`, and is charged the rules price." }, "anthropicApiKey": { "title": "Anthropic API key (byok mode)", "type": "string", "description": "Your Anthropic API key, used only when Analyzer is `byok`. Stored encrypted as a secret and sent only to api.anthropic.com. Get one at console.anthropic.com." }, "modelTier": { "title": "Model tier (byok and hosted modes)", "enum": [ "fast", "balanced", "best" ], "type": "string", "description": "`fast` (default): Claude Haiku 5.5, cheapest and quick, fine for clear drone overviews and close-ups. `balanced`: Claude Sonnet 5.5, better on subtle defects (granule loss, lifted tabs, flashing details). `best`: Claude Opus 5.5 for the hardest photo sets, available only with your own key (analyzer `byok`); a hosted run with `best` is rejected before any charge. In hosted mode the tier sets the per-photo and per-building prices ($0.02 + $0.10 for fast, $0.08 + $0.30 for balanced); in byok mode the tier only changes what Anthropic bills you.", "default": "fast" }, "instructions": { "title": "Inspection instructions (model modes, optional)", "type": "string", "description": "Extra guidance for the model, in plain language: the roof system (\"architectural asphalt shingles over plywood\", \"TPO membrane on the flat sections\"), what to ignore (\"skip the solar panels\", \"photos 40-45 are the parking lot\"), or local terminology (\"we call the cap shingles 'ridge'\"). Ignored by the rules analyzer." }, "priceList": { "title": "Price list (optional)", "type": "object", "description": "Your own prices for the deterministic estimate, as JSON: `materials` [{name, packSize, perUnit, appliesTo, priceUsd}] where `perUnit` is packs per unit of the repair action named in `appliesTo` (shingle-zone-repair, cap-repair, flashing-repair, boot-or-vent-replacement…), rounded up to whole packs per building; `laborBundles` [{hours, priceUsd}] (the largest bundle whose hours do not exceed the estimated hours, never below the smallest is used); `heightCharges` [{stories, priceUsd}]; `laborRounding` 'down' (default: largest bundle at or below the estimated hours, as in the reference report) or 'up' (smallest bundle that covers them); `hoursPerZone` (default 0.4); `zoneSf` (repair zone size in square feet, default 25); `currency`. Leave empty to use the built-in EXAMPLE price list, which is a placeholder and not market pricing: replace it with yours before quoting. All quantities are photo estimates and are field-verified on the roof." }, "company": { "title": "Company and property (optional)", "type": "object", "description": "Header details for the report, as JSON: `name`, `email`, `phone`, `website`, `inspector`, `propertyName`, `propertyAddress`, `inspectionDate`. All optional; missing fields are left out of the report." }, "maxPhotos": { "title": "Max photos", "minimum": 1, "maximum": 500, "type": "integer", "description": "Upper bound on photos processed in this run; photos beyond it are skipped and not charged. Use it together with the run's maximum total charge to control spend.", "default": 200 }, "photosPerModelCall": { "title": "Photos per model call", "minimum": 1, "maximum": 8, "type": "integer", "description": "How many photos of the same building are sent to the model in one call (model modes). Larger batches give the model more context per call; smaller batches cost less per call when the spending limit is tight.", "default": 4 }, "groupingDistanceMeters": { "title": "Grouping distance (meters)", "minimum": 5, "maximum": 500, "type": "number", "description": "Photos with GPS whose positions are within this distance of a building's photos are grouped into the same building. Used only for photos not covered by Building labels.", "default": 25 }, "groupingGapMinutes": { "title": "Grouping time gap (minutes)", "minimum": 1, "maximum": 240, "type": "number", "description": "For photos without GPS, a gap in capture time longer than this starts a new building. Used only for photos not covered by Building labels.", "default": 10 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 4, "type": "integer", "description": "Photos downloaded and decoded, and model calls made, in parallel. Large photos need memory: keep it at 2 on 1 GB.", "default": 2 }, "maxFileSizeMb": { "title": "Max file size (MB)", "minimum": 1, "maximum": 50, "type": "integer", "description": "Photos larger than this are rejected with a TOO_LARGE error item instead of being downloaded. Raise it up to 50 MB for full-resolution drone photos.", "default": 25 }, "downloadTimeoutSecs": { "title": "Download timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "Maximum time to download one photo before it is recorded as a TIMEOUT error item.", "default": 20 }, "includeContactSheet": { "title": "Write a contact sheet", "type": "boolean", "description": "Also write CONTACT_SHEET to the key-value store: a JPEG montage of the first 100 photos labeled with their photo numbers, handy for the field crew.", "default": true }, "webhookUrl": { "title": "Webhook URL (optional)", "pattern": "^https?://.+", "type": "string", "description": "If set, the Actor POSTs a JSON summary of the run (photos, buildings, errors, findings, model token totals, charges) to this URL when it finishes — 10 s timeout, 2 retries. Failures are logged, never fatal." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } } }