# Rectity

*/Startups/Rectity*

## Startup Overview

This developer-native API cross-references transaction logs to deduplicate user profiles across distributed systems. By analyzing payment and interaction data at the log level, the system identifies identical users operating under varied credentials or account structures. It links fragmented records into a single, accurate entity.

Engineering and trust teams face chronic account duplication, where scattered transaction histories obscure the true number of unique users on a platform. Relying on basic heuristics or manual reviews leaves systems vulnerable to abuse and data degradation. This engine removes the need for fragile in-house matching scripts by embedding directly into existing backend infrastructure.

While alternatives like Sift or Stripe Identity rely on probabilistic scoring and opaque risk models, this solution enforces strict, deterministic identity resolution. Developers integrate the engine directly into their data pipelines, gaining complete control over the matching logic. This ensures exact profile deduplication based on transactional proof rather than statistical guesswork.

## Startup Founding Hypothesis

**Approach**: that cross-references transaction logs to deduplicate user profiles
**Competitors**:
- [Sift](/Competitors/Sift)
- [Stripe Identity](/Competitors/Stripe_Identity)
- [in-house matching scripts](/Competitors/in-house_matching_scripts)
**Differentiator2x2**: developer-native in implementation and strictly deterministic in identity resolution

## Startup Solution Coordinate

**Solution**: [Deterministic Identity Resolver](/Software/Deterministic_Identity_Resolver)

## Startup Position2x2

```mermaid
quadrantChart
x-axis Probabilistic Matching --> Strictly Deterministic
y-axis UI or Manual Configuration --> Developer-Native
quadrant-1 API-First Deterministic
quadrant-2 API-First Probabilistic
quadrant-3 Legacy Probabilistic
quadrant-4 In-House Deterministic
Rectity: [0.90, 0.90]
Sift: [0.20, 0.65]
Stripe Identity: [0.55, 0.85]
in-house matching scripts: [0.85, 0.20]
```

## Startup Offer

**Proof**:
- Targeting a 30% reduction in promo abuse for mid-market e-commerce platforms.
- Aiming to automate 90% of manual profile merges for consumer fintech applications.
- Designed to consolidate 15% of shadow accounts for multi-tenant SaaS providers.
**Tiers**:
- Name: Pay-as-You-Go · Price: ~$0.02–$0.05 per API request · Inclusions: Standard API access for asynchronous transaction log ingestion, deterministic deduplication engine, and basic webhook event delivery.
- Name: Volume Growth · Price: ~$800–$1,500/mo base + ~$0.01 per excess request · Inclusions: Includes up to 100k requests/month, guaranteed SLA, high-priority webhook delivery for real-time profile merging, and dedicated email support.
- Name: Enterprise Scale · Price: ~$25k–$40k/yr · Inclusions: Dedicated throughput limits, custom data retention policies, SAML SSO, and a dedicated integration engineer for complex multi-product environments.
**Guarantee**: If Rectity's deterministic engine fails to correctly link confirmed duplicate profiles across your ingested transaction logs within a 99.9% accuracy threshold during the first 30 days, we refund your month's API usage and provide the next month completely free.
**Business Function**: ProvideService
**Objection Handlers**:
- We already use Stripe Identity: Stripe validates documents; Rectity links duplicate accounts sharing overlapping transaction patterns deterministically.
- Are you storing our PII?: We process only hashed transaction identifiers and structural metadata, requiring absolutely no raw PII ingestion.
- Our in-house scripts do this for free: In-house SQL scripts break on edge cases; our developer-native API provides scalable, real-time resolution.
- Will this add latency to checkout?: Rectity is designed for asynchronous transaction log ingestion, ensuring zero impact on your critical path latency.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Direct technical register emphasizing absolute deterministic precision.
**Tagline**: Resolve duplicate user profiles using deterministic transaction log matching.
**Icon Concept**: receipt
**Palette Intent**: electric-signal
**Visual Identity**: Acid green and deep terminal black pair with strict monospace typography and raw code-block structuring to emphasize unyielding developer-native precision.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Startup → Developer → Fraud Operations Team → Digital Consumer
**Gtm Motion**: Acquires technical users through a self-serve API sandbox targeting developers tasked with building identity deduplication workflows. Expands contract value by charging based on transaction volume as fraud operations teams mandate deployment across all enterprise payment gateways and data warehouses.
**Agent Channel**: Designed to list as a structured OpenAPI schema within the LangChain tool registry and the OpenAI GPT store, enabling autonomous risk-investigation agents to discover and programmatically query the identity deduplication endpoint.
**Primary Channel**: Technical SEO and developer forums like Hacker News and Stack Overflow, capturing engineers actively searching for deterministic identity resolution APIs or alternatives to probabilistic fraud matching scripts.

## Startup Customer Journey

```mermaid
flowchart LR; A[Developer Forum]-->B[API Sandbox]; B-->C[Deduplicated Profile]; C-->D[Payment Gateway]; D-->E[Fraud Operations Team]; E-->F[OpenAPI Registry];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 30-day historical log analysis: Ingest 30 days of past asynchronous transaction logs to identify and cluster duplicate buyers, proving the engine achieves the 99.9% linkage accuracy threshold.
- 14-day staging integration: Connect the deduplication API to a staging environment to process hashed transaction identifiers, proving zero added latency to the checkout flow while successfully triggering webhook merge events.
**Target Metrics**:
- Target: 30% reduction in promotional code abuse instances.
- Aim: 90% automation rate for manual user profile merges.
- Target: 15% consolidation of shadow accounts across multi-product environments.
- Aim: 0 milliseconds of added latency to critical path checkout flows via asynchronous ingestion.
**Target Case Studies**:
- Mid-market e-commerce platform: Demonstrate a reduction in promotional abuse by securely linking duplicate accounts that claim identical discount codes across different email addresses.
- Consumer fintech application: Prove the automation of manual profile merges by reconciling fragmented user records generated through distinct, unlinked onboarding flows.
- Multi-tenant SaaS provider: Validate the consolidation of shadow accounts and orphaned user seats by analyzing asynchronous login and transaction logs without requiring PII.
**Testimonial Targets**:
- E-commerce Fraud Manager: Expresses relief that promotional abuse dropped significantly without requiring raw PII ingestion or adding latency to user checkouts.
- Lead Data Engineer at a Fintech: Validates that replacing brittle, in-house SQL scripts with the API eliminated hours of manual database reconciliation each week.
- SaaS Product Manager: Highlights the newly acquired ability to track genuine active users accurately after seamlessly merging thousands of fragmented shadow accounts.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Major payment processors or banks restrict API access to the raw transaction metadata required for deterministic deduplication. · Mitigation Status: unmitigated
- Severity: high · Description: Strict deterministic matching rules produce too many false negatives compared to probabilistic engines, leaving large numbers of duplicate accounts undetected. · Mitigation Status: in-progress
- Severity: moderate · Description: The requirement to ingest raw transaction logs introduces significant compliance and data privacy hurdles for customer developer teams, stalling deployments. · Mitigation Status: in-progress
- Severity: moderate · Description: Customers opt to rely on the probabilistic identity matching already built into their existing fraud stacks rather than adopting and maintaining a specialized standalone tool. · Mitigation Status: unmitigated

## Startup Competitors

- [Sift](/Competitors/Sift) — Probabilistic Platform
- [Stripe Identity](/Competitors/Stripe_Identity) — Ecosystem Tool
- [In-House Matching Scripts](/Competitors/In-House_Matching_Scripts) — Status Quo
- [Socure](/Competitors/Socure) — Incumbent Identity Engine
- [Persona](/Competitors/Persona) — Verification Platform

## Startup Solution Stack

- [Profile Deduplication Service](/Services/Profile_Deduplication_Service) — Service-as-Software
- [Log Reconciliation Worker](/Agents/Log_Reconciliation_Worker) — Agent
- [Identity Resolution Agent](/Agents/Identity_Resolution_Agent) — Agent
- [Deterministic Matching Engine](/Software/Deterministic_Matching_Engine) — Software
- [Transaction Ingestion API](/Software/Transaction_Ingestion_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the architect of a clean, unified user database that scales without maintenance
- **Want**: to consolidate fragmented user profiles without building fragile in-house matching scripts
- **Identity**: the senior software engineer at a consumer fintech or e-commerce platform
**Plan**:
- Step: Ingest Logs · Detail: Point your asynchronous transaction streams from Stripe or Shopify to our developer-native API.
- Step: Review Results · Detail: Monitor the high-priority webhooks as the engine resolves overlaps and delivers unified profile IDs.
- Step: Deploy Logic · Detail: Update your internal services to use the newly consolidated identity map for smarter promo limits.
**Guide**:
- **Empathy**: Engineering resources are won in development cycles — but fragmentation leaks those cycles into endless profile cleanup.
**Problem**:
- **Villain**: identity fragmentation
- **External**: User profiles splinter across transaction logs in Stripe and internal databases, causing massive promo abuse and redundant shadow accounts.
- **Internal**: You feel like a janitor cleaning up broken SQL joins instead of a developer building new features.
- **Philosophical**: Why should developers accept high-maintenance in-house workarounds when deterministic identity resolution is possible?
**Success**: The user database remains unified and clean, automating 90% of profile merges while completely preventing promotion fraud.
**One Liner**: Every month, senior software engineers struggle with fragmented user data that enables promo abuse. Rectity resolves duplicate profiles using deterministic transaction log matching so the database stays unified and fraud-free.
**Positioning**:
- **So That**: consolidate fragmented user profiles using deterministic transaction log matching
- **Unlike**: Sift and in-house matching scripts
- **For Whom**: engineers at consumer fintech and e-commerce platforms
- **Category**: Identity Resolution API for Developers
**Call To Action**:
- **Direct**: Run API Request
- **Transitional**: View Response Schema
**Failure Stakes**:
- Ongoing revenue loss from promo abuse
- Database bloat from redundant shadow accounts
- Engineering time wasted on matching scripts
**Transformation**:
- **To**: free to architect scalable identity systems, no longer fixing broken user joins
- **From**: the engineer patching leaky SQL matching scripts
**Controlling Idea**: Identity resolution should be a deterministic API call, not a manual SQL chore.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Every month, senior software engineers struggle with fragmented user data that enables promo abuse. Rectity resolves duplicate profiles using deterministic transaction log matching so the database stays unified and fraud-free.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 163d5be597c33296

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Identity Resolution API for Developers for engineers at consumer fintech and e-commerce platforms. Unlike Sift and in-house matching scripts — consolidate fragmented user profiles using deterministic transaction log matching.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: c3691bcc7170185b

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: User profiles splinter across transaction logs in Stripe and internal databases, causing massive promo abuse and redundant shadow accounts.
Solution: Every month, senior software engineers struggle with fragmented user data that enables promo abuse. Rectity resolves duplicate profiles using deterministic transaction log matching so the database stays unified and fraud-free.
Customer: engineers at consumer fintech and e-commerce platforms
Unlike: Sift and in-house matching scripts
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: a5f7ed230b7a2b6e

## Startup Token M E D D P I C C

**Pain**: User profiles splinter across transaction logs in Stripe and internal databases, causing massive promo abuse and redundant shadow accounts.
**Metrics**: Target: The user database remains unified and clean, automating 90% of profile merges while completely preventing promotion fraud.
**Rendered**: Pain: User profiles splinter across transaction logs in Stripe and internal databases, causing massive promo abuse and redundant shadow accounts.
Economic buyer: Developer
Metrics: Target: The user database remains unified and clean, automating 90% of profile merges while completely preventing promotion fraud.
Competition: Sift and in-house matching scripts
**Mechanism**: spine-derived-v1
**Competition**: Sift and in-house matching scripts
**Economic Buyer**: Developer
**Vocab Fingerprint**: a7d7f483fe35b553

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Identity Resolution API for Developers for engineers at consumer fintech and e-commerce platforms

engineers at consumer fintech and e-commerce platforms — User profiles splinter across transaction logs in Stripe and internal databases, causing massive promo abuse and redundant shadow accounts. Every month, senior software engineers struggle with fragmented user data that enables promo abuse. Rectity resolves duplicate profiles using deterministic transaction log matching so the database stays unified and fraud-free.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 266b830c633cdaed

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Identity Resolution API for Developers. Every month, senior software engineers struggle with fragmented user data that enables promo abuse. Rectity resolves duplicate profiles using deterministic transaction log matching so the database stays unified and fraud-free. Serves engineers at consumer fintech and e-commerce platforms.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: f7313ff6e81404b1

## Neighborhood

### Candidate solutions

- [Institutional Referral Sourcing](/Problems/Institutional_Referral_Sourcing) — candidate solution for · Problems
- [API Integration Drop-Off](/Problems/API_Integration_Drop-Off) — candidate solution for · Problems
- [Source Tech-Savvy Advisory Staff](/Problems/Source_Tech-Savvy_Advisory_Staff) — candidate solution for · Problems
- [Reconcile Drop Invoice Discrepancies](/Problems/Reconcile_Drop_Invoice_Discrepancies) — candidate solution for · Problems

### Composed of

- [Ticket Vision Agent](/Agents/Ticket_Vision_Agent) — composes · Agents
- [Ledger Resolution Agent](/Agents/Ledger_Resolution_Agent) — composes · Agents
- [Ticket Extraction API](/Software/Ticket_Extraction_API) — composes · Software
- [Route Accounting Sync SDK](/Software/Route_Accounting_Sync_SDK) — composes · Software
- [Drop Settlement Service](/Services/Drop_Settlement_Service) — composes · Services
- [DSD Vision Engine](/Software/DSD_Vision_Engine) — composes · Software
- [Deduction Reconciliation Worker](/Agents/Deduction_Reconciliation_Worker) — composes · Agents
- [Ticket Extraction Agent](/Agents/Ticket_Extraction_Agent) — composes · Agents
- [Route ERP Sync API](/Software/Route_ERP_Sync_API) — composes · Software
- [Drop Ledger Clearance Service](/Services/Drop_Ledger_Clearance_Service) — composes · Services
- [Transaction Ingestion API](/Software/Transaction_Ingestion_API) — composes · Software
- [Profile Deduplication Service](/Services/Profile_Deduplication_Service) — composes · Services
- [Log Reconciliation Worker](/Agents/Log_Reconciliation_Worker) — composes · Agents
- [Identity Resolution Agent](/Agents/Identity_Resolution_Agent) — composes · Agents
- [Deterministic Matching Engine](/Software/Deterministic_Matching_Engine) — composes · Software

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses
- [Software](/Theses/Software) — embodies · Theses

### What it offers

- [Rectity Drop Settlement](/Services/Rectity_Drop_Settlement) — offers · Services
- [Drop Ledger Clearance](/Services/Drop_Ledger_Clearance) — offers · Services
- [Deterministic Identity Resolver](/Software/Deterministic_Identity_Resolver) — offers · Software

### Competitors

- [Encompass DSD](/Competitors/Encompass_DSD) — competes with · Competitors
- [EoStar Route Accounting](/Competitors/EoStar_Route_Accounting) — competes with · Competitors
- [Manual AR Reconciliation](/Competitors/Manual_AR_Reconciliation) — competes with · Competitors
- [Deacom ERP](/Competitors/Deacom_ERP) — competes with · Competitors
- [manual spreadsheet VLOOKUPs](/Competitors/manual_spreadsheet_VLOOKUPs) — competes with · Competitors
- [EoStar](/Competitors/EoStar) — competes with · Competitors
- [Manual Clerk Reconciliation](/Competitors/Manual_Clerk_Reconciliation) — competes with · Competitors
- [Stripe Identity](/Competitors/Stripe_Identity) — competes with · Competitors
- [In-House Matching Scripts](/Competitors/In-House_Matching_Scripts) — competes with · Competitors
- [Socure](/Competitors/Socure) — competes with · Competitors
- [Sift](/Competitors/Sift) — competes with · Competitors
- [Persona](/Competitors/Persona) — competes with · Competitors

### Who it serves

- [Regional Independent Bottlers](/CompanyTypes/Regional_Independent_Bottlers) — serves · CompanyTypes

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