Browse and search the OpenConstructionERP cost database: classification tree, SQL and semantic search, autocomplete, certainty badges, and the resource catalog. Use when a user wants to explore cost data without building a BOQ yet.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Eight national bases (78,228 positions) plus 30 global markets, each in the 95-column CWICR master schema, with 26 language editions and 48 PPP-repriced resource catalogs per national base.
| Path | Endpoint | Purpose |
|---|---|---|
| Base picker | GET /api/v1/costs/base-catalog | list families, variants, currencies, positions, loaded badge |
| List / search | GET /api/v1/costs/?region=...&q=...&limit=... | SQL keyword search (works without Qdrant) |
| Tree | GET /api/v1/costs/category-tree/?region=... | collection → department → section → subsection → category |
| Item detail | GET /api/v1/costs/{id} | full components[] breakdown + metadata + variants |
| Autocomplete | GET /api/v1/costs/autocomplete?q=... | fast typeahead for the BOQ editor |
| Semantic | /qdrant-search (Qdrant) | BGE-M3 multilingual ranking across cwicr_<lang>_v3 collections |
Every item carries classification{} built from the parquet:
collection (source, e.g. "İnşaat")
└─ department (discipline, e.g. "İnşaat")
└─ section (chapter, e.g. "LAVABOLAR")
└─ subsection
└─ category (normalized type, e.g. "CONSTRUCTION WORK")
Chinese positions may show partial classification (source scope) — that is honest, not a bug.
variants[] with per-variant prices; picking one replaces the BOQ line description/price.certainty badges grade how confidently an item matches a BIM element — review low-certainty picks.The catalog module stores the compact per-market catalogs (resource_code, name, type, category, unit, price_avg/min/max, currency, usage_count, classification under specifications). Coefficient bases (VN, ID) seed an editable resource price sheet here — that is how they become estimable.
rate = 0 on VN/ID as "not yet priced", not as free work.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
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Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.
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Check construction AI systems against the EU AI Act (Regulation 2024/1689): classify risk of estimation, scheduling, CV and agent tools, document transparency, keep human oversight. Use when deploying or auditing AI in construction.
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Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints. Use when automating end-to-end project processes with agentic AI.
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Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.
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Automate as-built documentation and digital handover for construction. Compile project records, generate O&M manuals, create asset databases, and ensure complete project closeout.
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