# Basiscrest

*/Startups/Basiscrest*

## Startup Overview

This API-first reconciliation engine automatically matches daily trade executions to historical tax lots across investment portfolios. Instead of relying on manual end-of-day batch processing, the system ingests execution feeds and pairs each transaction with its correct underlying cost basis. This eliminates the operational friction of tracking fractional shares, dividend reinvestments, and complex corporate actions.

Wealth managers, quant funds, and family offices currently burn hours building brittle, in-house Python scripts or wrestling with rigid legacy portfolio systems like Addepar to handle tax lot accounting. When trading velocity increases or corporate actions alter equity positions, these manual workflows break down, forcing accounting teams to reconcile exceptions by hand. The software removes this bottleneck by resolving lot allocations the exact moment a trade clears.

Unlike incumbent reporting software that charges fixed licensing fees regardless of back-office volume, this infrastructure is fully programmatic and prices its service strictly on successful lot matches. Users pay only for completed reconciliations, treating tax lot matching as a pure compute utility. This aligns infrastructure costs directly with trading activity, replacing expensive back-office software with an elastic, deterministic execution API.

## Startup Founding Hypothesis

**Approach**: that automatically matches trade executions to historical tax lots
**Competitors**:
- [Legacy portfolio systems](/Competitors/Legacy_portfolio_systems)
- [In-house Python scripts](/Competitors/In-house_Python_scripts)
- [Addepar](/Competitors/Addepar)
**Differentiator2x2**: fully programmatic and priced strictly on successful lot matches

## Startup Solution Coordinate

**Solution**: [Tax Lot Matcher](/Services/Tax_Lot_Matcher)

## Startup Position2x2

```mermaid
quadrantChart
title Tax Lot Matching Defensibility
x-axis Flat/License Fee --> Usage/Performance Priced
y-axis Manual/UI-Driven --> Fully Programmatic
quadrant-1 Automated & Aligned Cost
quadrant-2 Automated & Fixed Cost
quadrant-3 Manual & Fixed Cost
quadrant-4 Manual & Aligned Cost
Legacy portfolio systems: [0.15, 0.15]
In-house Python scripts: [0.15, 0.85]
Addepar: [0.20, 0.45]
Basiscrest: [0.85, 0.90]
```

## Startup Offer

**Proof**:
- Targeting 100% reconciliation accuracy against prime broker end-of-day files.
- Aiming for sub-second programmatic match resolution to support intraday tax-aware trading.
- Designed to eliminate manual Python-script maintenance for internal fund accounting teams.
**Tiers**:
- Name: Standard Match · Price: ~$0.15–$0.30 per successful match · Inclusions: Daily batch processing API access, standard tax optimization logic (FIFO, HIFO, LIFO), designed for up to 50,000 executed trades per month.
- Name: Volume Match · Price: ~$0.04–$0.09 per successful match · Inclusions: Real-time streaming API endpoints, custom programmatic rule injection, and multi-custodian true-ups for funds exceeding 50,000 executions per month.
**Guarantee**: We stand behind the programmatic accuracy of every matched lot; if a successfully matched lot fails downstream reconciliation due to our engine's logic, we refund the processing fee for that trade and provide a full diagnostic trace.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: Our prime broker already provides tax lots at end-of-day. Rebuttal: Basiscrest calculates lots intraday on execution, enabling proactive tax-aware trading before the broker file settles.
- Objection: We require complex, fund-specific tax optimization rules. Rebuttal: The matching engine accepts custom programmatic rules to replicate and enforce your proprietary tax strategies.
- Objection: We already pay for a heavy portfolio system like Addepar. Rebuttal: Basiscrest is a lightweight, upstream execution API designed to feed clean, pre-matched data directly into your existing reporting tools.
- Objection: Handling trade data requires strict security. Rebuttal: The platform is intended to process matches ephemerally with zero-retention policies on execution data post-match.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Authoritative financial register emphasizing algorithmic exactness.
**Tagline**: Exact tax lot matching for every trade execution.
**Icon Concept**: ledger
**Palette Intent**: institutional-cool
**Visual Identity**: A deep navy and slate color palette pairs with monospaced typography and stark data grid imagery to evoke strict programmatic financial compliance.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Basiscrest → Wealth Management Firm → High-Net-Worth Client
**Gtm Motion**: Acquires RIA operations teams by offering a zero-risk historical portfolio audit to identify suboptimal or missing tax matches, then expands revenue organically as firms route their daily trade executions through the engine driven by the pay-per-successful-match pricing model.
**Agent Channel**: Designed to list in the LangChain tool registry and financial API directories as a structured 'Tax Lot Matching Endpoint', enabling autonomous portfolio-management agents to discover the service and automatically route trade execution logs for post-trade tax optimization.
**Primary Channel**: High-intent search engine marketing targeting queries like 'Addepar tax lot reconciliation API' or 'automated tax harvesting', driving operations directors to test the matching engine with historical CSV trade exports.

## Startup Customer Journey

```mermaid
flowchart LR; A[High-Intent Search Query] --> B[Historical Portfolio Audit]; B --> C[Tax Lot Match]; C --> D[Daily Batch API]; D --> E[Real-Time Streaming Endpoint]; E --> F[LangChain Tool 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 shadow run with a mid-sized hedge fund, processing parallel feeds to prove 100% reconciliation accuracy against their prime broker end-of-day files without failed lot engine logic.
- 60-day volume pilot with a proprietary trading desk to validate sub-second match resolution latency and verify the zero-retention ephemeral processing policy under high transaction load.
**Target Metrics**:
- Target: Sub-second programmatic match resolution time for real-time intraday execution data.
- Target: 100% downstream reconciliation accuracy against prime broker end-of-day files.
- Target: 0 hours per month spent on internal Python script maintenance for fund accounting teams.
- Aim: 0 retained execution records post-match to validate the ephemeral security policy.
**Target Case Studies**:
- Mid-sized quantitative hedge fund (Fund Accounting Lead) replacing brittle manual Python scripts with the daily batch processing API to eliminate manual end-of-day tax lot reconciliation.
- Large multi-strategy family office (Head of Trading) utilizing the real-time streaming API to execute intraday tax-aware trades, locking in tax optimization before prime broker settlement.
- High-volume proprietary trading firm (Operations Director) leveraging the multi-custodian true-up engine to resolve fragmented broker accounts without manual spreadsheet tracking.
**Testimonial Targets**:
- Fund Accounting Director confirming the engine completely replaced their internal Python scripts while handling complex multi-custodian true-ups with zero errors.
- Head of Trading emphasizing how the intraday API enables proactive tax-aware trade optimization hours before their prime broker files settle.
- Chief Technology Officer validating the ease of injecting custom programmatic rules via the upstream API without bloating their core reporting architecture like Addepar.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Major brokerages or custodians revoke API access or alter data schemas, cutting off the trade execution data required for the matching engine. · Mitigation Status: unmitigated
- Severity: high · Description: An algorithmic error in lot matching triggers incorrect IRS tax filings, exposing the company to financial liability and immediate loss of customer trust. · Mitigation Status: in-progress
- Severity: moderate · Description: The success-based pricing model fails to cover compute and data ingestion costs when processing highly fragmented historical records. · Mitigation Status: unmitigated
- Severity: low · Description: Incumbents like Addepar bundle programmatic tax lot matching into their core reporting suite, reducing the incentive for wealth managers to buy a standalone tool. · Mitigation Status: in-progress

## Startup Competitors

- [Legacy Portfolio Systems](/Competitors/Legacy_Portfolio_Systems) — Status Quo
- [In-House Python Scripts](/Competitors/In-House_Python_Scripts) — DIY
- [Addepar](/Competitors/Addepar) — Incumbent
- [Orion Advisor Tech](/Competitors/Orion_Advisor_Tech) — Incumbent
- [Clearwater Analytics](/Competitors/Clearwater_Analytics) — Alternative Platform

## Startup Solution Stack

- [Programmatic Lot Matching Service](/Services/Programmatic_Lot_Matching_Service) — Service-as-Software
- [Trade Execution Parser Agent](/Agents/Trade_Execution_Parser_Agent) — Agent
- [Historical Lot Mapping Worker](/Agents/Historical_Lot_Mapping_Worker) — Agent
- [Portfolio Ingestion API](/Software/Portfolio_Ingestion_API) — Software
- [Basis Assignment Engine](/Software/Basis_Assignment_Engine) — Software

## Startup Story Brand

**Hero**:
- **Need**: to enable intraday tax-aware trading decisions that satisfy the fund's investment mandates
- **Want**: to match every trade execution to a specific tax lot instantly
- **Identity**: the fund accountant at a high-frequency systematic hedge fund
**Plan**:
- Step: Submit executions · Detail: Stream your trade execution data into our real-time API as orders fill across your broker desks.
- Step: Confirm matches · Detail: Review the programmatically assigned tax lots generated by your custom FIFO or HIFO optimization rules.
- Step: Export ledger · Detail: Push pre-matched tax data directly into your existing reporting stack or downstream accounting systems.
**Guide**:
- **Empathy**: Sub-second trading gains are won in the intraday window — but they are often lost to end-of-day broker settlement delays.
**Problem**:
- **Villain**: manual python scripts
- **External**: Reconciling trade executions against historical lots in Addepar requires brittle in-house code that breaks on every corporate action.
- **Internal**: You feel like a software maintainer instead of a strategic fund controller.
- **Philosophical**: Why should a fund's alpha accept execution-day blindness when programmatic precision is possible?
**Success**: Every execution hits the ledger with a verified tax lot before the markets close, eliminating end-of-day reconciliation stress.
**One Liner**: What if your tax lots settled the moment you traded? Basiscrest provides an automated matching API, enabling intraday tax-aware trading and 100% reconciliation accuracy.
**Positioning**:
- **So That**: execute intraday tax-aware trading without waiting for broker files
- **Unlike**: legacy portfolio systems and manual scripts
- **For Whom**: fund accountants at systematic hedge funds
- **Category**: Programmatic tax lot matching API
**Call To Action**:
- **Direct**: Process a batch
- **Transitional**: Download matching schema
**Failure Stakes**:
- Inaccurate tax liability reporting
- Missed intraday tax-loss harvesting
- High maintenance costs for internal code
**Transformation**:
- **To**: the fund's programmatic tax architect
- **From**: a script-fixing fund accountant chasing broker files
**Controlling Idea**: Real-time trade matching turns tax management into a competitive investment advantage.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: What if your tax lots settled the moment you traded? Basiscrest provides an automated matching API, enabling intraday tax-aware trading and 100% reconciliation accuracy.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: ae1c30447b98b719

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Programmatic tax lot matching API for fund accountants at systematic hedge funds. Unlike legacy portfolio systems and manual scripts — execute intraday tax-aware trading without waiting for broker files.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 5d1c736fb580a0e6

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Reconciling trade executions against historical lots in Addepar requires brittle in-house code that breaks on every corporate action.
Solution: What if your tax lots settled the moment you traded? Basiscrest provides an automated matching API, enabling intraday tax-aware trading and 100% reconciliation accuracy.
Customer: fund accountants at systematic hedge funds
Unlike: legacy portfolio systems and manual scripts
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: f3e23618f643c588

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

**Pain**: Reconciling trade executions against historical lots in Addepar requires brittle in-house code that breaks on every corporate action.
**Metrics**: Target: Every execution hits the ledger with a verified tax lot before the markets close, eliminating end-of-day reconciliation stress.
**Rendered**: Pain: Reconciling trade executions against historical lots in Addepar requires brittle in-house code that breaks on every corporate action.
Economic buyer: Wealth Management Firm
Metrics: Target: Every execution hits the ledger with a verified tax lot before the markets close, eliminating end-of-day reconciliation stress.
Competition: legacy portfolio systems and manual scripts
**Mechanism**: spine-derived-v1
**Competition**: legacy portfolio systems and manual scripts
**Economic Buyer**: Wealth Management Firm
**Vocab Fingerprint**: 85cdde9a1783dd62

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Programmatic tax lot matching API for fund accountants at systematic hedge funds

fund accountants at systematic hedge funds — Reconciling trade executions against historical lots in Addepar requires brittle in-house code that breaks on every corporate action. What if your tax lots settled the moment you traded? Basiscrest provides an automated matching API, enabling intraday tax-aware trading and 100% reconciliation accuracy.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 74fe435a6d21dfcf

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Programmatic tax lot matching API. What if your tax lots settled the moment you traded? Basiscrest provides an automated matching API, enabling intraday tax-aware trading and 100% reconciliation accuracy. Serves fund accountants at systematic hedge funds.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 51ea873ee2d1d508

## Neighborhood

### Candidate solutions

- [Calculate Grower Liquidations](/Problems/Calculate_Grower_Liquidations) — candidate solution for · Problems

### Composed of

- [Trade Execution Parser Agent](/Agents/Trade_Execution_Parser_Agent) — composes · Agents
- [Portfolio Ingestion API](/Software/Portfolio_Ingestion_API) — composes · Software
- [Basis Assignment Engine](/Software/Basis_Assignment_Engine) — composes · Software
- [Historical Lot Mapping Worker](/Agents/Historical_Lot_Mapping_Worker) — composes · Agents
- [Programmatic Lot Matching Service](/Services/Programmatic_Lot_Matching_Service) — composes · Services

### Competitors

- [Orion Advisor Tech](/Competitors/Orion_Advisor_Tech) — competes with · Competitors
- [Addepar](/Competitors/Addepar) — competes with · Competitors
- [In-House Python Scripts](/Competitors/In-House_Python_Scripts) — competes with · Competitors
- [Legacy Portfolio Systems](/Competitors/Legacy_Portfolio_Systems) — competes with · Competitors
- [Clearwater Analytics](/Competitors/Clearwater_Analytics) — competes with · Competitors

### Embodies

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

### What it offers

- [Tax Lot Matcher](/Services/Tax_Lot_Matcher) — offers · Services

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