{ "info": { "_postman_id": "8cf3219d-02be-4396-9a74-d58f9a12f6b3", "name": "LandingAI Agentic Document Extraction (ADE) API v1: Parse, Extract, Classify, Split, Section Classes Deployment API", "description": "Convert documents such as PDFs, images, and Office files into structured data with LandingAI's Agentic Document Extraction (ADE) v1 endpoints. Includes Parse (documents to Markdown and structured chunks with grounding), Extract (schema-based field extraction), Classify (page-level classification), Split (separate multi-document files), and Section (hierarchical table of contents), plus asynchronous jobs for parsing and extraction. 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"2be2958b-239c-48c6-8666-b03ea85f0475", "createdAt": "2026-07-28T02:02:30.000Z", "updatedAt": "2026-07-28T02:02:30.000Z", "uid": "35240-2be2958b-239c-48c6-8666-b03ea85f0475" }, { "name": "Create Deployment", "id": "57784464-76e7-4cf0-a9af-77df3e2e6c00", "protocolProfileBehavior": { "disableBodyPruning": true }, "request": { "method": "POST", "header": [ { "key": "apikey", "value": "" }, { "key": "Content-Type", "value": "application/json" }, { "key": "Accept", "value": "application/json" } ], "body": { "mode": "raw", "raw": "{\n \"name\": \"\",\n \"modelId\": \"\",\n \"threshold\": \"\"\n}", "options": { "raw": { "headerFamily": "json", "language": "json" } } }, "url": { "raw": "{{baseUrl}}/v1/projects/:project_id/deployments?timeout=", "host": [ "{{baseUrl}}" ], "path": [ "v1", "projects", ":project_id", "deployments" ], "query": [ { "key": "timeout", "value": "" } ], "variable": [ { "id": "85b62999-631c-4ce1-a11d-4fcd9d795360", "key": "project_id", "value": "", "description": "(Required) " } ] }, "description": "This endpoint creates a deployment, which is an instance for running a\nmodel and performing predictions.\n\nTo create a deployment, you only need to provide a unique name. Upon\nsuccessful creation, the endpoint will return an HTTP URL where you can\nsend requests for predictions (also known as inferences).\n\nThe deployment name cannot be changed after creation.\n\nHere's a breakdown of the deployment creation options:\n\n**Model** (Optional): You can either:\n\n- Provide the model data during deployment creation, making it ready to use\nimmediately.\n- Upload a model to the deployment later and then use it for predictions.\n\n\n**Threshold** (Optional):\n\n- Specify a custom threshold value for your\npredictions.\n- If not provided, the default value used during model training will be\napplied." }, "response": [ { "id": "b2e4e5cc-777c-4172-a676-27bbb3c4f6f3", "name": "Successful Response", "originalRequest": { "method": "POST", "header": [ { "key": "apikey", "value": "" }, { "key": "Content-Type", "value": "application/json" }, { "key": "Accept", "value": "application/json" } ], "body": { "mode": "raw", "raw": "{\n \"name\": \"\",\n \"modelId\": 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