PropPie Analytix (B2B RealtyAnalytix) — Product Specification¶
"The Bloomberg Terminal for Indian commercial real estate, where every number is one click from the underlying RERA filing or IGR deed."
1. Product identity¶
| Field | Value |
|---|---|
| Internal name | PropPie Analytix |
| Market name | RealtyAnalytix (or PropPie Analytix — OPEN QUESTION: final brand TBD) |
| Tagline | Source-cited real-estate intelligence. Every number, one click from the document. |
| Status | In design (foundation phase) |
| Product type | B2B SaaS dashboard + API |
| Geography | Maharashtra-only at launch; Karnataka pilot Q4 2027 |
| Compliance posture | Information-only; no personalised advice; no SEBI IA/RA registration required |
Target users¶
| Segment | Example firms | What they buy today | Why they'd switch |
|---|---|---|---|
| Mid/large developers | Godrej Properties, Lodha, Panchshil, Kolte-Patil, Shapoorji | PropEquity, in-house research, broker whispers | Source-cited competitive intelligence, delay forensics, GR tracking |
| Brokers / IPC firms | Anarock, Knight Frank, JLL, CBRE, Cushman & Wakefield | CRE Matrix, manual IGR pulls, quarterly reports | Fast comparables, white-label widgets, real-time velocity |
| Institutional investors | Embassy REIT, Mindspace REIT, Brookfield, Blackstone, AIFs, family offices | Knight Frank custom reports, CRE Matrix, in-house teams | Underwriting-grade data trail, probabilistic projections, audit-ready citations |
| Lenders | SBI, HDFC, Bajaj Finance, PNB Housing, Piramal | In-house appraisals, manual registry pulls | Automated collateral checks, zone risk index, developer trust scores |
Competitive positioning¶
PropPie Analytix is not a better spreadsheet. It is a source-cited, AI-native intelligence layer that treats every number as a claim requiring evidence. See competitive-landscape.md for the full map. Section 4 below covers differentiators in detail.
2. Jobs to be done¶
Written as queries the dashboard answers. Grouped by user segment.
Developers — competitive intelligence¶
- "What is the 90-day transaction velocity for 2BHK residential in Hinjewadi, and how does it compare to Wakad and Kharadi?"
- "Which of my competitors delivered on time in Pune in the last 3 years, and what was my percentile rank?"
- "Which Government Resolutions in the last 6 months affect FSI or TDR in MMR, and what's their projected impact on land cost?"
- "What price per sqft are buyers actually paying in Baner (registered deeds, not listings), and how has it moved quarter-over-quarter?"
Brokers / IPC firms — fast comparables¶
- "Give me 10 comparable registered sale transactions for a 1,200 sqft office in Lower Parel, last 12 months, with source deeds."
- "What's the median cap rate for Grade A office space in BKC vs. Andheri East vs. Airoli?"
- "Show me micromarkets where residential velocity is up >20% QoQ — I need to brief my sales team."
- "Generate a white-label market snapshot for Pune West that I can send to my client."
Institutional investors — due diligence at scale¶
- "What's the zone risk index for Bhiwandi warehousing, and what are the title clarity scores for all projects within 5km of NH-3?"
- "Show me the developer trust score for Promoter X, with all inputs visible, for our underwriting committee."
- "Run a Monte Carlo projection for a 50,000 sqft warehouse in Chakan: IRR distribution at year 5 and year 10."
- "Which micromarkets have cap rates above 8% with zone risk below 4/10?"
Lenders — project financing evaluation¶
- "What is the cost overrun history and complaint density for Developer Y across all their MahaRERA-registered projects?"
- "Show me the escrow balance proxy and sales velocity for Project Z — is there liquidity risk?"
- "What is the title clarity score and encumbrance status for the collateral property at Survey No. 45/2, Taluka Mulshi?"
3. Core dashboard modules¶
3.1 Market Momentum¶
What it shows: Real-time pulse of the market, powered by registered transactions (not listings).
| Component | Description | Key attributes |
|---|---|---|
| Velocity heatmap | H3 hex-grid map coloured by mkt.transaction_velocity_90d; toggle residential/commercial |
mkt.transaction_velocity_90d, mkt.transaction_velocity_180d, loc.lat, loc.lng |
| Bullish % gauge | % of micromarkets with positive QoQ velocity change | mkt.sector_momentum_pct |
| Sector breakdown | Stacked bar: residential, office, retail, warehousing, data centres | proj.type, mkt.sector_momentum_pct |
| Price trend sparklines | Per-micromarket price/sqft trend (90d rolling) | mkt.median_price_per_sqft_90d, mkt.price_appreciation_yoy_pct |
| Lifecycle stage tags | Each micromarket tagged Emerging / Growing / Mature / Cooling | mkt.micromarket_lifecycle_stage |
Source citation: Every velocity number links to the underlying IGR transaction list. Every price figure shows n (sample size) and date range.
3.2 Delay Forensics¶
What it shows: Delivery delay analysis across developers, projects, and micromarkets.
| Component | Description | Key attributes |
|---|---|---|
| Delay distribution | Histogram of (actual - promised) months across all projects in filter | proj.promised_completion_dates, proj.actual_completion_date |
| Developer percentile table | Rank table: developer median delay vs. comparable promoters (same city tier, project count) | dev.trust_score sub-component |
| Root-cause tags | NLP-classified reasons (regulatory, financial stress, litigation, weather, COVID) extracted from Form C progress reports and news | legal.complaints_maharera, news entity tags |
| Cost overrun correlation | Scatter: delay months vs. cost overrun % | fin.cost_overrun_pct |
| Project-level drill-down | Timeline view: original promise, each revision, actual delivery | proj.promised_completion_dates, proj.actual_completion_date, proj.estimated_cost_history |
Defamation guardrails: Developer names shown with percentile framing, never absolute labels. "Request a review" link on every developer card. See compliance-and-legal.md.
3.3 Yield and Cap Rate Heatmaps¶
What it shows: Where the money is — gross yield and cap rate by micromarket and sector.
| Component | Description | Key attributes |
|---|---|---|
| Cap rate heatmap | Choropleth map: median cap rate by micromarket, filterable by sector | mkt.cap_rate_median |
| Yield benchmark table | Tabular view: micromarket, sector, median yield, n, range, trend | mkt.yield_benchmark |
| Yield vs. risk scatter | X = zone risk index, Y = cap rate; bubble size = transaction count | risk.zone_risk_index, mkt.cap_rate_median |
| Rent escalation tracker | Median registered lease escalation % by micromarket | lease.escalation_pct |
| ASR gap overlay | Toggle to show ASR gap % alongside yield — spots under/over-valued zones | fin.asr_gap_pct |
Confidence display: Every cap rate shows sample size. Micromarkets with n < 10 transactions in 12 months are greyed out with "low confidence" label.
3.4 Comparable Analysis¶
What it shows: Auto-generated comparable sets for any asset, refreshing on every new IGR registration.
| Component | Description | Key attributes |
|---|---|---|
| Comparable finder | Input: address or RERA number. Output: 5-10 nearest-neighbour transactions | ai.comparable_set |
| Side-by-side cards | Key fields (price/sqft, area, date, developer, sector) for easy comparison | fin.price_per_sqft_carpet, area.carpet_sqft, fin.sale_date |
| Source deed links | Each comparable links to the registered deed (IGR) | fin.sale_price source lineage |
| Auto-refresh alerts | Notification when a new transaction matches a saved comparable search | IGR daily feed |
| Export | PDF / Excel export with full citations for client reports | All displayed attributes |
3.5 Developer Intelligence¶
What it shows: Comprehensive, explainable developer profiles.
| Component | Description | Key attributes |
|---|---|---|
| Trust Score card | 0-100 score with all five input penalties visible and expandable | dev.trust_score |
| Portfolio view | Map + list of all MahaRERA-registered projects by promoter PAN | party.promoter_pan, proj.maharera_number |
| Delivery track record | Timeline of all projects: promised vs. actual, with trend line | proj.promised_completion_dates, proj.actual_completion_date |
| Complaint history | Count, category, resolution status | legal.complaints_maharera |
| Financial health signals | Cost overruns, loan disclosures, escrow proxy | fin.cost_overrun_pct, fin.loan_disclosure, fin.escrow_balance_proxy |
| Sentiment pulse | 30-day aggregated news/social sentiment | ai.sentiment_score |
| Plain-English summary | LLM-generated developer narrative (defamation-guarded) | ai.developer_track_record_summary |
Compliance: Percentile framing only. Right-of-reply mechanism documented. See derived-attributes-spec.md section 12 for the math and guardrails.
3.6 Policy Intelligence Feed¶
What it shows: Government Resolutions classified, scored, and linked to affected micromarkets.
| Component | Description | Key attributes |
|---|---|---|
| Live feed | Chronological list of RE-relevant GRs with NLP classification | policy.applicable_grs |
| Impact scoring | High / Medium / Low impact badge per GR | GR NLP classifier output |
| Tailwind / headwind flags | Per-micromarket positive and negative policy signals | policy.tailwind_flags, policy.headwind_flags |
| Affected-area map | GR impact overlaid on micromarket map | GR entity extraction + geospatial |
| Plain-English summary | LLM-generated "what this means for property values in X" | ai.gr_impact_summary |
| Alert subscriptions | Users subscribe to micromarkets or departments; get notified on new GRs | Notification system |
Source: Every GR links to the original PDF on the government portal. Translation from Marathi provided alongside.
3.7 Material Pulse Tracker (Phase 2)¶
What it shows: Construction input cost trends affecting project economics.
| Component | Description | Data source |
|---|---|---|
| Steel price index | Monthly trend, regional | SAIL / TMT bar spot prices |
| Cement price index | Monthly trend, regional | UltraTech / ACC / regional |
| Labour cost index | Quarterly, by trade and region | Industry surveys, CMIE |
| Sand / aggregate | Regional, quarterly | Local market surveys |
| Cost-push impact calculator | "If steel rises 10%, estimated impact on per-sqft cost for a typical 2BHK project in Pune" | Derived from input-cost model |
Status: Phase 2 module. Data sources not yet contracted. Marked as OPEN QUESTION: build vs. license from CMIE or similar.
3.8 Risk Radar¶
What it shows: Multi-layered risk view per micromarket and per project.
| Component | Description | Key attributes |
|---|---|---|
| Zone Risk Index map | Choropleth: 0-10 risk score per micromarket | risk.zone_risk_index |
| Risk decomposition | Per-zone breakdown: legal, market, policy, environmental components | Zone risk sub-scores |
| Title clarity overlay | Toggle to show average title clarity score per micromarket | legal.title_clarity_score |
| Environmental flags | Flood zone, CRZ, forest zone, AQI overlays | risk.flood_zone_flag, risk.crz_flag, risk.forest_zone_flag, risk.aqi_annual_avg |
| Litigation hotspots | Heatmap of active real-estate litigation density | legal.litigation_records aggregated |
| Risk alerts | Notification when zone risk index changes by > 0.5 points | Derived trigger |
3.9 Asset Underwriting Module (Institutional)¶
What it shows: Single-asset deep-dive for underwriting committees. Designed to produce audit-ready output.
| Component | Description | Key attributes |
|---|---|---|
| Asset profile | All 140 attributes for one project/asset, organised by category | Full attribute set |
| Title chain walkthrough | Plain-English title history with source documents | ai.title_chain_explanation, legal.chain_of_title |
| Wealth trajectory simulation | Monte Carlo paths at p20/p50/p80 for 5 and 10 year horizons | ai.wealth_trajectory_paths, ai.projected_irr_p50_p20_p80 |
| Comparable basket | Auto-generated comparables with full citations | ai.comparable_set |
| Risk scorecard | Title clarity + zone risk + developer trust + tenant quality in one view | All risk-related derived attributes |
| Brutal honesty flags | Red flags and "consider before investing" notes | ai.brutal_honesty_flags |
| Export: underwriting memo | PDF export formatted for IC presentation; every number cited | All displayed attributes |
4. Key differentiators vs. competitors¶
| Dimension | PropPie Analytix | PropEquity | CRE Matrix | Liases Foras | IPC research (JLL, CBRE, etc.) |
|---|---|---|---|---|---|
| Source citation | Every number one click from source deed/filing | Opaque aggregation; users can't verify | Limited source visibility | Report-level citations only | Report-level; often proprietary surveys |
| Data freshness | Daily IGR feed for priority micromarkets | Monthly/quarterly bulk updates | Monthly | Quarterly reports | Quarterly reports |
| AI-native UX | Conversational queries, simulations, what-if scenarios | Form-based filters + Excel export | Dashboard + export | Static PDF reports | Custom consulting deliverables |
| Policy intelligence | Real-time NLP-classified GR feed with impact scoring | No GR tracking | No GR tracking | Occasional policy notes | Manual analyst coverage |
| Delay forensics | Automated, percentile-framed, root-cause tagged | Basic delivery status | Not available | Not available | Occasional case studies |
| Probabilistic projections | Monte Carlo with visible assumptions and confidence bands | Point estimates | Not available | Proprietary forecasts (opaque) | Analyst opinion |
| Compliance posture | Info-only by design; defamation-guarded scores | Not explicitly positioned | Not explicitly positioned | Research product | Research + consulting |
| Onboarding time | Self-serve; productive in hours | Weeks (sales cycle + training) | Weeks | Weeks | Months (custom engagement) |
| Pricing | Transparent tiers; accessible to mid-size firms | Mid-six-figures; enterprise only | Mid-five to mid-six-figures | Mid-five-figures | Project-based; premium |
| Geographic depth | Maharashtra-deep (then expand) | Pan-India (shallower per state) | MMR + Bangalore focus | Pan-India residential | Pan-India |
The one-sentence wedge: PropEquity has 15 years of data breadth; we have Maharashtra-depth, source-citation discipline, and an AI-native UX that makes their product feel like a filing cabinet.
5. Data dependencies — which attributes power each module¶
| Module | Critical attributes | Source layers |
|---|---|---|
| Market Momentum | mkt.transaction_velocity_*, mkt.sector_momentum_pct, mkt.median_price_per_sqft_90d, mkt.price_appreciation_yoy_pct, mkt.micromarket_lifecycle_stage, loc.micromarket_id |
IGR (daily), MahaRERA (monthly) |
| Delay Forensics | proj.promised_completion_dates, proj.actual_completion_date, proj.estimated_cost_history, legal.complaints_maharera, dev.trust_score |
MahaRERA (quarterly + monthly) |
| Yield and Cap Rate | mkt.cap_rate_median, mkt.yield_benchmark, lease.rent_amount_monthly, lease.escalation_pct, fin.sale_price, fin.asr_gap_pct |
IGR L&L + Sale (daily), ASR (annual) |
| Comparable Analysis | ai.comparable_set, fin.price_per_sqft_carpet, area.carpet_sqft, fin.sale_date, loc.micromarket_id |
IGR (daily) |
| Developer Intelligence | dev.trust_score, party.promoter_pan, legal.complaints_maharera, fin.cost_overrun_pct, ai.sentiment_score, ai.developer_track_record_summary |
MahaRERA (monthly), News (hourly), Social (hourly) |
| Policy Intelligence | policy.applicable_grs, policy.tailwind_flags, policy.headwind_flags, ai.gr_impact_summary, infra.upcoming_projects |
GR portals (daily) |
| Material Pulse | External cost indices | CMIE, industry feeds (Phase 2) |
| Risk Radar | risk.zone_risk_index, legal.title_clarity_score, risk.flood_zone_flag, risk.crz_flag, risk.forest_zone_flag |
MRSAC, MoEFCC, MahaRERA, IGR |
| Asset Underwriting | Full ~140 attribute set + all derived scores + Monte Carlo | All sources |
Full attribute catalogue: data-attributes.md. Derivation math: derived-attributes-spec.md.
6. White-label and embed capability¶
Embeddable widgets¶
IPC firms and large brokerages want to embed PropPie intelligence into their own platforms and client reports. Planned widgets:
| Widget | Use case | Embed format |
|---|---|---|
| Micromarket snapshot | Broker sends a "market update" email/PDF to clients | iframe / PDF export |
| Comparable card | Side-by-side comparable view for a specific property | iframe / API |
| Velocity gauge | Real-time velocity indicator for a micromarket | iframe / JS component |
| Developer trust card | Developer profile summary (defamation-guarded) | iframe / API |
| Cap rate heatmap | Interactive map for a region | iframe |
White-label terms¶
- Partner's branding on the widget chrome; "Powered by PropPie" footnote (non-negotiable for citation integrity)
- Data citation links always visible — partner cannot strip source links
- Pricing: per-widget monthly fee or bundled with enterprise tier
OPEN QUESTION: White-label pricing model — per-embed, per-view, or flat monthly? Requires design partner feedback.
7. API access tier¶
API design principles¶
- RESTful, versioned (
/v1/), JSON responses - Every response includes
source,source_url,confidence,extracted_atper attribute - Rate-limited by tier
- Authentication: API key + OAuth2 for enterprise SSO
Planned endpoints (indicative)¶
| Endpoint group | Example | Tier |
|---|---|---|
/micromarkets |
List micromarkets, velocity, prices, lifecycle stage | Standard |
/transactions |
Search registered transactions by filters | Standard |
/projects |
MahaRERA project data by RERA number or filters | Standard |
/developers |
Developer trust score, portfolio, track record | Standard |
/comparables |
Auto-generated comparable set for an address | Premium |
/risk |
Zone risk index, title clarity, environmental flags | Premium |
/policy |
GR feed, tailwind/headwind flags | Standard |
/simulate |
Monte Carlo projection for an asset | Enterprise |
/underwriting |
Full asset profile with all 140 attributes | Enterprise |
Rate limits (draft)¶
| Tier | Requests/day | Concurrent | Simulation |
|---|---|---|---|
| Standard | 5,000 | 10 | Not included |
| Premium | 25,000 | 50 | 100/day |
| Enterprise | 100,000+ | Custom | Unlimited |
OPEN QUESTION: API-only pricing vs. bundled with dashboard access. Some B2B customers (lenders, fintechs) want API without the dashboard.
8. Pricing model options¶
Status: OPEN QUESTION — to be validated with design partners (Q4 2026).
Option A: Seat-based SaaS¶
| Tier | Seats | Modules | Price range (annual) |
|---|---|---|---|
| Starter | Up to 3 | Market Momentum, Policy Feed, Comparables | 3-5L |
| Professional | Up to 10 | All except Underwriting | 8-15L |
| Enterprise | Unlimited | All modules + API + white-label | 20-50L |
Option B: AUM-based (institutional investors)¶
- Base fee + basis points on assets under analysis
- Aligns cost with value for large portfolios
- Risk: hard to verify AUM; perverse incentive to understate
Option C: Tiered by data consumption¶
- Per-query or per-report pricing with monthly minimums
- Low barrier to entry; scales with usage
- Risk: unpredictable revenue; usage anxiety for customers
Recommendation (pre-validation)¶
Start with Option A (seat-based) for simplicity and predictability. Offer enterprise custom pricing for institutional investors who need API + white-label. Revisit after 10 paying customers.
Decision needed by: Q4 2026, informed by design partner conversations.
9. Go-to-market¶
Phase 1: Design partners (Q4 2026)¶
Target: 5 design partners using the product for free in exchange for weekly feedback sessions.
| Partner type | Target count | Selection criteria | What we learn |
|---|---|---|---|
| Mid-size Pune developer | 2 | Active, 10+ RERA projects, tech-forward | Module priority, daily workflow fit |
| IPC firm (regional office) | 1 | Pune or MMR office of Anarock / Knight Frank / JLL | White-label demand, comparable workflow |
| AIF / family office | 1 | Active in Maharashtra CRE | Underwriting module requirements |
| NBFC / HFC | 1 | Evaluating Maharashtra project finance | Lender workflow, collateral check needs |
Phase 2: Paid launch (Q2 2027)¶
- Convert design partners to paid
- Outbound to 50 prospects (developer analytics heads, IPC research teams, institutional investment teams)
- Target: 20 paying customers by end of Q2 2027
Sales approach¶
- No inside sales team initially. Founder-led sales (Aishvarya for product, Vishal for technical credibility).
- Demo-first: 30-minute live demo on prospect's own micromarket data. "Here's what we know about your last 3 projects — did you know this?"
- Free trial: 14-day full access with onboarding call.
- Annual contracts with quarterly payment option.
Channel partnerships (Phase 2+)¶
- IPC firms as distribution channel: they recommend PropPie to their developer/investor clients
- Lending platforms: embedded risk scoring via API
- CA/legal firms: referral for due-diligence workflows
OPEN QUESTION: Commission/referral structure for channel partners. See open questions Q31.
10. Success metrics¶
Metrics that matter for Analytix, aligned with vision.md.
| Metric | Target (12 months post-launch) | Why it matters |
|---|---|---|
| Paying B2B customers | 20+ | Revenue validation |
| % users with daily active usage | > 40% | Real workflow integration, not shelf-ware |
| Source-citation rate | 100% of factual claims | Non-negotiable trust metric |
| Time-to-first-value (onboarding) | < 2 hours from signup to first useful query | Self-serve validation |
| NPS among design partners | > 50 | Product-market fit signal |
| API adoption (among enterprise tier) | > 50% of enterprise customers using API | Platform stickiness |
| White-label embed count | > 10 active embeds | Distribution channel validation |
| Hallucination incident rate | 0 reported incidents | Trust metric |
| Data freshness SLA compliance | > 95% of attributes within stated cadence | Reliability |
| Monthly recurring revenue | 1-2 Cr ARR by month 12 | Business viability |
11. Phasing — MVP vs. future¶
Phase 1: MVP (Q4 2026 - Q1 2027)¶
Ship to design partners. Minimum viable intelligence.
| Module | Scope | Dependencies |
|---|---|---|
| Market Momentum | Velocity heatmap + price sparklines for 20 priority micromarkets (Pune + MMR) | IGR daily feed operational |
| Delay Forensics | Developer delay table + project drill-down | MahaRERA full ingestion |
| Comparable Analysis | Basic comparable finder (address input, 5-10 results) | IGR + entity resolution |
| Developer Intelligence | Trust Score + portfolio view (no sentiment yet) | MahaRERA + derived pipeline |
| Policy Intelligence Feed | GR feed with manual classification (NLP classifier v0) | GR scraping pipeline |
| Export | PDF/Excel export with citations | All above |
Not in Phase 1: Yield heatmaps (need L&L data depth), Risk Radar (need GIS layers), Asset Underwriting (need Monte Carlo), Material Pulse (need external feeds), API (need stable schema), white-label.
Phase 2: Full product (Q2 2027 - Q4 2027)¶
| Module | Scope | Dependencies |
|---|---|---|
| Yield and Cap Rate Heatmaps | Full cap rate and yield maps; requires L&L transaction depth | Sufficient L&L volume in IGR feed |
| Risk Radar | Zone risk index + environmental overlays | MRSAC GIS layers acquired |
| Asset Underwriting | Full 140-attribute profile + Monte Carlo + underwriting memo export | All derived attributes operational |
| API v1 | Standard + Premium endpoints | Stable schema, rate limiting |
| White-label widgets | Embeddable micromarket snapshot + comparable card | Widget framework built |
| Conversational layer | Natural-language query interface for the dashboard | RAG pipeline operational |
Phase 3: Scale (2028+)¶
| Module | Scope |
|---|---|
| Material Pulse Tracker | Steel, cement, labour, sand indices |
| Karnataka expansion | Bangalore micromarket data foundation |
| Alert engine | Custom alerts on velocity, price, GR, developer changes |
| Benchmarking reports | Automated monthly/quarterly market reports per micromarket |
| Lender integration module | Collateral evaluation API for lending platforms |
12. Risks and mitigations¶
| # | Risk | Likelihood | Severity | Mitigation |
|---|---|---|---|---|
| A1 | IGR data feed insufficient — bulk licensed feed too expensive or too stale | Medium | High | Start with self-scrape for priority micromarkets; license selectively; budget for 5-25L/year |
| A2 | PropEquity undercuts on price after we launch | Medium | Medium | We compete on depth + UX + citation, not price; their architecture can't easily add citation |
| A3 | Design partners don't convert to paid | Medium | Medium | Ensure design partners represent real buyer personas; build for their workflow, not ours |
| A4 | Developer defamation risk from Trust Score module | Low-Medium | High | Percentile framing, right-of-reply, legal review of display language. See compliance-and-legal.md |
| A5 | GR classifier accuracy too low for production | Medium | Medium | Start with human-in-loop classification; automate incrementally; monitor precision/recall |
| A6 | Enterprise sales cycle too long (6-12 months) | High | Medium | Target mid-size firms first (shorter cycle); offer monthly plans; founder-led sales |
| A7 | Data depth insufficient in non-priority micromarkets | Medium | Medium | Be transparent about coverage gaps; show confidence levels; expand micromarket priority list based on demand |
| A8 | Hallucination in LLM-generated summaries | Medium | High | Eval framework, source-citation mandate, "I don't know" defaults, human review for launch |
| A9 | SEBI regulatory change pulls dashboard intelligence into RA territory | Low | High | Info-only by design; no "buy/sell" signals; legal opinion on file. See risks-and-open-questions.md R1 |
| A10 | Team bandwidth — 5 developers split across 3 products | High | Medium | Sequence strictly; Analytix MVP uses same data pipeline as Broker; shared infrastructure |
13. Cross-references¶
| Document | Relevance |
|---|---|
| SOUL.md | Honest broker principles apply to all B2B outputs |
| vision.md | Strategic milestones: design partners Q4 2026, paid launch Q2 2027 |
| competitive-landscape.md | Lane C — full competitor analysis for B2B analytics |
| moat-and-differentiation.md | Five layers of moat; Analytix leverages all five |
| compliance-and-legal.md | SEBI info-only stance, defamation guardrails, DPDP |
| risks-and-open-questions.md | Q6 (design partner segment), Q8 (pricing model), Q31 (IPC partnerships) |
| data-attributes.md | Full ~140 attribute catalogue powering all modules |
| derived-attributes-spec.md | Math specs for every derived score |
| data-sources.md | Source catalogue, access patterns, costs, gotchas |
| data-quality-framework.md | Confidence, lineage, freshness SLAs |
| pipeline-spec-for-vishal.md | Pipeline contract — what Analytix needs from the pipeline |
Open questions summary¶
All open questions from this document, collected for tracking.
| # | Question | Owner | Needed by |
|---|---|---|---|
| OQ-A1 | Final market-facing brand: "PropPie Analytix" vs. "RealtyAnalytix" vs. other | Aishvarya | Q3 2026 |
| OQ-A2 | Pricing model: seat-based vs. AUM-based vs. consumption-based | Aishvarya + design partners | Q4 2026 |
| OQ-A3 | White-label pricing: per-embed, per-view, or flat monthly | Aishvarya + IPC design partner | Q4 2026 |
| OQ-A4 | API-only tier: separate pricing vs. bundled with dashboard | Aishvarya | Q1 2027 |
| OQ-A5 | Material Pulse data source: build vs. license from CMIE or similar | Vishal | Q2 2027 |
| OQ-A6 | Design partner selection: which specific firms to approach first | Aishvarya | Q3 2026 |
| OQ-A7 | Channel partner commission/referral structure | Aishvarya | Q2 2027 |
| OQ-A8 | IGR bulk feed: self-scrape vs. PropEquity/CRE Matrix license vs. hybrid | Vishal | Q3 2026 |
These should be mirrored in risks-and-open-questions.md and resolved per the cadence defined there.
This spec is the source of truth for PropPie Analytix product decisions. Implementation details (tech stack, database, orchestration) are Vishal's domain per AGENTS.md section 5.3. This document defines the what and why; the pipeline spec defines the contract; Vishal defines the how.
Last updated: foundation session, May 2026.