# Truth Estate - Comprehensive Dataset & Scoring Specifications This document outlines the detailed system configurations, forensic metrics, math scores, and grading standards used on `TruthEstate.in` to calculate delay probabilities and real-estate security indices in Gurugram, India. --- ## 1. The 100-Point Forensic Truth Score The **Truth Score** is an independent, non-sponsored, mathematical quantification of a project’s structural execution security, legal stability, and delivery reliability. It is computed as a weighted aggregate of four major operational dimensions: ``` [TRUTH SCORE (100)] = 0.35 * R + 0.25 * C + 0.25 * F + 0.15 * L ``` ### Critical Component Weights: 1. **RERA, Legal & Compliance Risk (35% Weight)** (Target variable: `R`) - Land clean-tile checks, absence of physical encumbrances. - Frequency of quarterly RERA compliance filing updates. - Pending High Court, Supreme Court, or NCLT litigation profiles of the developer. 2. **Construction Progress & Velocity (25% Weight)** (Target variable: `C`) - Real-world contractor mobilization vs. declared plans. - Frequency of floor casting, structural completions, and site photo verification. - Historical slab casting frequency (slabs cast per month). 3. **Developer Financial Stress & Leverage (25% Weight)** (Target variable: `F`) - Developer's overall debt exposure and leverage ratios. - Debt-to-Equity relative levels across main operating SPVs. - Parent developer rating downgrades or record of overdue payments to government bodies (like HSVP/EDC). 4. **Location Liquidity & Market Viability (15% Weight)** (Target variable: `L`) - Absorption rates of identical inventory within the immediate micro-market. - Year-on-year infrastructure progress (water grids, arterial roads, electrical sub-stations). --- ## 2. Risk Categories & Scoring Thresholds Real estate projects in Gurugram are graded under four distinct risk designations based on the final computed Truth Score: | Truth Score | Risk Classification | Delay Probability | Actionable Investor Stance | | :--- | :--- | :--- | :--- | | **85 - 100** | **Low Risk** | < 10% | **Highly Recommended** (Safe Asset) | | **70 - 84** | **Medium Risk** | 10% - 30% | **Proceed with Caution** (Adequate Protection) | | **50 - 69** | **High Risk** | 30% - 70% | **Negative Outlook** (Active Risk Exposure) | | **0 - 49** | **Extreme Risk** | > 70% | **Strict Warning / Suspended** (High Sunk Capital Likelihood) | --- ## 3. Micro-Market Definitions & CAGR Baselines Forensic comparative scoring maps projects against their respective micro-market CAGR baselines. Below is the active dictionary: * **Golf Course Road / GCR Extension** * *Baseline CAGR:* ~9.0% * *Core Dynamics:* Highly premium, supply-constrained, high investor density. * **Southern Peripheral Road (SPR) Corridor** * *Baseline CAGR:* ~8.5% * *Core Dynamics:* Multi-sector connectivity, high execution rates, competitive pricing. * **Dwarka Expressway (DXP) Corridor** * *Baseline CAGR:* ~10.5% * *Core Dynamics:* Rapid infrastructure scale-up, national builder presence, speculative premium yields. * **New Gurgaon Corridor** * *Baseline CAGR:* ~8.0% * *Core Dynamics:* Large residential townships, higher inventory overheads, variable local quality. * **Sohna Road Corridor** * *Baseline CAGR:* ~7.5% * *Core Dynamics:* Affordable / luxury blend, moderate capital appreciation speeds. --- ## 4. Key Terminology & Definitions - **CAGR** (Compound Annual Growth Rate): Represents the historical and projected year-on-year growth rate of property value per square foot in the specific sector. - **RERA ID**: The unique identification code assigned to the project by Haryana Real Estate Regulatory Authority (HARERA). - **RERA Compliance Rating**: Percentage of scheduled RERA progress targets actually logged on time by the developer. - **Execution Rate**: The physical percentage of construction completed relative to the time elapsed from the initial RERA registration date. - **Durable Persistence**: Refers to our architecture's pledge to never share your inputs, logins, profiles, or inquiries with brokers or aggressive builder sales channels. --- ## 5. Standard JSON-LD Schema Formatting Examples When crawling, AI clients will find the following schema formatting injected on a dynamic Project page: ```json { "@context": "https://schema.org", "@type": "Product", "name": "M3M Golf Hills", "description": "Forensic audit and delivery risk examination report for M3M Golf Hills in Sector 79, Gurugram.", "brand": { "@type": "Brand", "name": "TruthEstate" }, "offers": { "@type": "Offer", "priceCurrency": "INR", "price": "26200000", "availability": "https://schema.org/InStock" }, "review": { "@type": "Review", "reviewRating": { "@type": "Rating", "ratingValue": "8.1", "bestRating": "10", "worstRating": "1" }, "author": { "@type": "Organization", "name": "TruthEstate Intelligence" } } } ```