# Quafig

*/Startups/Quafig*

## Startup Overview

This testing platform captures live API traffic to automatically generate and maintain backend regression test suites. It translates real-world payloads, routing behaviors, and endpoint interactions into continuous test coverage, eliminating the need for engineers to write or update individual assertions when services evolve.

Engineering and QA teams face constant overhead manually updating Postman collections or Cypress scripts every time an API contract changes. This maintenance burden forces organizations to choose between bottlenecking deployment pipelines or shipping with gaps in coverage. Deriving test conditions directly from live traffic removes this manual maintenance cycle entirely.

Rather than relying on fragile, script-based workflows, the testing engine operates on a schema-driven architecture. It executes deterministically across distributed environments, ensuring consistent payload and state validation across complex microservice deployments. This structural approach ensures tests adapt to routing and data changes automatically, outperforming static frameworks that break upon minor endpoint modifications.

## Startup Founding Hypothesis

**Approach**: that automatically maintains regression suites from live API traffic
**Competitors**:
- [Postman](/Competitors/Postman)
- [Cypress](/Competitors/Cypress)
- [Manual script maintenance](/Competitors/Manual_script_maintenance)
**Differentiator2x2**: schema-driven rather than script-based, and executes deterministically across distributed environments

## Startup Solution Coordinate

**Solution**: [Live Regression Engine](/Software/Live_Regression_Engine)

## Startup Position2x2

```mermaid
quadrantChart
    title Regression Suite Approaches
    x-axis "Script-Based" --> "Schema-Driven"
    y-axis "Local/Brittle Execution" --> "Distributed/Deterministic"
    quadrant-1 "Ideal Automation"
    quadrant-2 "Complex Orchestration"
    quadrant-3 "Legacy Toil"
    quadrant-4 "Rigid Models"
    Manual script maintenance: [0.15, 0.15]
    Cypress: [0.25, 0.45]
    Postman: [0.35, 0.55]
    Quafig: [0.85, 0.85]
```

## Startup Offer

**Proof**:
- Targeting an 80% reduction in engineering hours spent manually updating Postman or Cypress scripts
- Aiming to automatically catch 99% of undocumented schema mutations before production deployment
- Designed to achieve zero-configuration test generation within 24 hours of gateway mirroring
**Tiers**:
- Name: Base Engine · Price: ~$100–$150/mo + ~$10 per 100k requests · Inclusions: Traffic capture agent, auto-generated schema suites for up to 50 unique API endpoints, and standard JSON/XML payload inspection.
- Name: Scale Engine · Price: ~$400–$600/mo + ~$5 per 100k requests · Inclusions: Unlimited API endpoints, cross-environment deterministic execution, and intended native integrations with GitHub Actions and GitLab CI.
- Name: Enterprise Mirror · Price: enterprise: ~$25k–$40k/yr · Inclusions: Flat-rate unlimited traffic capture, localized on-premise PII stripping, dedicated infrastructure, and custom SAML/SSO setup.
**Guarantee**: If a schema-breaking API change reaches production without triggering a Quafig regression alert in your connected staging environment, we will refund your current month's usage.
**Business Function**: ProvideService
**Objection Handlers**:
- Will capturing live traffic expose sensitive customer data? -> Quafig is designed to include a local sanitization sidecar that strips PII and payload values before schemas are sent to our cloud.
- How does this handle dynamic data like timestamps or UUIDs? -> Execution is schema-driven rather than value-based; it asserts structural contracts deterministically instead of failing on dynamic string mismatches.
- Will mirroring traffic slow down our API responses? -> Traffic is intended to be captured asynchronously via a gateway mirror or sidecar, executing entirely out of your critical request path.
- Do we still need QA engineers to write complex logic tests? -> Yes; Quafig automatically maintains the baseline regression and schema suites, freeing QA to focus entirely on edge cases and complex business-logic states.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Authoritative technical register with an uncompromising focus on deterministic reliability
**Tagline**: Deterministic API regression suites generated directly from live traffic
**Icon Concept**: caliper
**Palette Intent**: electric-signal
**Visual Identity**: Crisp monospace typography pairs with stark electric blue lines reminiscent of network packet traces, communicating precise execution.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: B2B → Engineering Manager → QA Automation Engineer
**Gtm Motion**: Acquires individual developers through a free tier that generates test schemas from local API traffic, expanding to enterprise contracts when engineering teams mandate integration into central CI/CD pipelines to run distributed regression suites.
**Agent Channel**: Designed to publish capability definitions to the Model Context Protocol directory, allowing autonomous DevOps agents to discover and trigger remote API regression suites during automated code reviews.
**Primary Channel**: Organic search for API traffic replay tools and targeted discovery through the continuous integration and testing categories on the GitHub Marketplace.

## Startup Customer Journey

```mermaid
flowchart LR; A[GitHub Marketplace] --> B[Local API Mirror]; B --> C[Regression Schema Suite]; C --> D[CI/CD Pipeline]; D --> E[Enterprise Gateway Mirror]; E --> F[DevOps Agent];
```

## Startup Proof Points

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

**Pilot Goals**:
- 14-day staging environment mirror pilot: Successfully capture 100k requests and auto-generate baseline regression suites for up to 50 unique API endpoints without manual configuration.
- 30-day enterprise sidecar trial: Verify zero PII leakage during asynchronous traffic capture while successfully intercepting at least one schema-breaking API change prior to deployment.
**Target Metrics**:
- Target: 80 percent reduction in engineering hours spent manually updating Postman or Cypress scripts
- Aim: 99 percent automatic detection rate for undocumented schema mutations before production deployment
- Target: 24-hour timeline for zero-configuration test generation after gateway mirroring activation
**Target Case Studies**:
- Mid-market fintech engineering team: Prove the transition from manual Postman script updates to automated traffic capture, demonstrating the prevention of undocumented schema mutations reaching production.
- Enterprise SaaS DevOps group: Validate the implementation of the on-premise PII stripping sidecar to safely capture live traffic, reducing manual QA test maintenance hours.
**Testimonial Targets**:
- Lead QA Engineer: Relief that baseline regression testing is fully automated without failing on dynamic UUIDs, allowing the team to focus entirely on complex business-logic edge cases.
- VP of Engineering: Confidence that API contract changes are deterministically caught in the connected staging environment without adding latency to the critical request path.
- Security Architect: Trust in the local sanitization sidecar successfully stripping all PII and sensitive payload values before any schema data leaves the infrastructure.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Enterprise security teams block deployment because capturing live API traffic risks exposing sensitive PII and authentication tokens. · Mitigation Status: in-progress
- Severity: high · Description: DevOps teams refuse to install the necessary traffic-sniffing sidecars or proxies into their production or staging environments. · Mitigation Status: unmitigated
- Severity: high · Description: Dynamic database states and external service calls break the promised deterministic execution, causing flaky tests and immediate developer churn. · Mitigation Status: in-progress
- Severity: moderate · Description: Postman leverages its massive existing developer footprint to release an automated traffic-to-test conversion tool. · Mitigation Status: unmitigated

## Startup Competitors

- [Postman](/Competitors/Postman) — API Testing Incumbent
- [Cypress](/Competitors/Cypress) — Script-Based Framework
- [Manual Script Maintenance](/Competitors/Manual_Script_Maintenance) — Status Quo
- [SmartBear ReadyAPI](/Competitors/SmartBear_ReadyAPI) — Legacy Enterprise Tool
- [Speedscale](/Competitors/Speedscale) — Traffic Replay Testing

## Startup Solution Stack

- [Traffic Regression Service](/Services/Traffic_Regression_Service) — Service-as-Software
- [Schema Extraction Agent](/Agents/Schema_Extraction_Agent) — Agent
- [Test Generation Worker](/Agents/Test_Generation_Worker) — Agent
- [Traffic Capture API](/Software/Traffic_Capture_API) — Software
- [Distributed Execution Engine](/Software/Distributed_Execution_Engine) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the architect of resilient systems, not a script-maintenance clerk
- **Want**: to maintain a perfect API regression suite without manual script updates
- **Identity**: the Lead Backend Engineer at a scaling API-first company
**Plan**:
- Step: Mirror traffic · Detail: Deploy our asynchronous capture sidecar to observe your live production or staging API traffic.
- Step: Verify · Detail: Review the auto-generated schema contracts that Quafig builds from your real-world request patterns.
- Step: Automate · Detail: Integrate the suite into GitHub Actions to block breaking changes before they reach your users.
**Guide**:
- **Empathy**: Does your CI/CD pipeline still fail because of a dynamic UUID or timestamp mismatch?
**Problem**:
- **Villain**: script drift
- **External**: Maintaining Cypress and Postman collections consumes twenty engineering hours weekly as undocumented schema mutations constantly break staging builds
- **Internal**: You feel like you are chasing a moving target while real feature work stalls
- **Philosophical**: API testing was built for contract verification, not for chasing brittle string mismatches.
**Success**: Your API contracts stay perfectly synced with live traffic, and your regression suite maintains itself with zero manual script updates.
**One Liner**: Instead of manually updating brittle test scripts, Quafig generates deterministic regression suites from live API traffic — stopping breaking changes before they hit production.
**Positioning**:
- **So That**: eliminate 80% of time spent on test script updates
- **Unlike**: Manual Cypress and Postman maintenance
- **For Whom**: Lead Backend Engineers at scaling API companies
- **Category**: Automated API Regression Testing
**Call To Action**:
- **Direct**: Generate regression suite
- **Transitional**: View sample schema report
**Failure Stakes**:
- Undocumented schema breaks in production
- Hours lost to Cypress script debt
- Delayed release cycles from brittle tests
**Transformation**:
- **To**: the platform's reliability architect
- **From**: a script-heavy Cypress maintainer
**Controlling Idea**: API testing should be an automated reflection of live traffic, not a chore.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Instead of manually updating brittle test scripts, Quafig generates deterministic regression suites from live API traffic — stopping breaking changes before they hit production.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 5f504e693e1f0e80

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Automated API Regression Testing for Lead Backend Engineers at scaling API companies. Unlike Manual Cypress and Postman maintenance — eliminate 80% of time spent on test script updates.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: aa406a7771ec747c

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Maintaining Cypress and Postman collections consumes twenty engineering hours weekly as undocumented schema mutations constantly break staging builds
Solution: Instead of manually updating brittle test scripts, Quafig generates deterministic regression suites from live API traffic — stopping breaking changes before they hit production.
Customer: Lead Backend Engineers at scaling API companies
Unlike: Manual Cypress and Postman maintenance
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 8301fc928b75d1fb

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

**Pain**: Maintaining Cypress and Postman collections consumes twenty engineering hours weekly as undocumented schema mutations constantly break staging builds
**Metrics**: Target: Your API contracts stay perfectly synced with live traffic, and your regression suite maintains itself with zero manual script updates.
**Rendered**: Pain: Maintaining Cypress and Postman collections consumes twenty engineering hours weekly as undocumented schema mutations constantly break staging builds
Economic buyer: Engineering Manager
Metrics: Target: Your API contracts stay perfectly synced with live traffic, and your regression suite maintains itself with zero manual script updates.
Competition: Manual Cypress and Postman maintenance
**Mechanism**: spine-derived-v1
**Competition**: Manual Cypress and Postman maintenance
**Economic Buyer**: Engineering Manager
**Vocab Fingerprint**: 5de9a106f2a10e0a

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Automated API Regression Testing for Lead Backend Engineers at scaling API companies

Lead Backend Engineers at scaling API companies — Maintaining Cypress and Postman collections consumes twenty engineering hours weekly as undocumented schema mutations constantly break staging builds Instead of manually updating brittle test scripts, Quafig generates deterministic regression suites from live API traffic — stopping breaking changes before they hit production.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 36c891bc184a6d7e

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Automated API Regression Testing. Instead of manually updating brittle test scripts, Quafig generates deterministic regression suites from live API traffic — stopping breaking changes before they hit production. Serves Lead Backend Engineers at scaling API companies.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 59696b089c5ccfec

## Neighborhood

### Candidate solutions

- [Reconcile Synthetic Ledgers](/Problems/Reconcile_Synthetic_Ledgers) — candidate solution for · Problems
- [Cover Last Minute Shifts](/Problems/Cover_Last_Minute_Shifts) — candidate solution for · Problems
- [Open-Source Cannibalization](/Problems/Open-Source_Cannibalization) — candidate solution for · Problems

### Composed of

- [Distributed Execution Engine](/Software/Distributed_Execution_Engine) — composes · Software
- [Traffic Capture API](/Software/Traffic_Capture_API) — composes · Software
- [Test Generation Worker](/Agents/Test_Generation_Worker) — composes · Agents
- [Traffic Regression Service](/Services/Traffic_Regression_Service) — composes · Services
- [Schema Extraction Agent](/Agents/Schema_Extraction_Agent) — composes · Agents

### Competitors

- [Manual Script Maintenance](/Competitors/Manual_Script_Maintenance) — competes with · Competitors
- [SmartBear ReadyAPI](/Competitors/SmartBear_ReadyAPI) — competes with · Competitors
- [Speedscale](/Competitors/Speedscale) — competes with · Competitors
- [Postman](/Competitors/Postman) — competes with · Competitors
- [Cypress](/Competitors/Cypress) — competes with · Competitors

### Embodies

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

### What it offers

- [Live Regression Engine](/Software/Live_Regression_Engine) — offers · Software

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