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Developer Tools$5K-20K MRRLow competition1-3 Monthsnew

AuthzProbe

Continuously test your API for the authorization holes AI agents now find

The Problem

In August 2026 a consumer AI agent booking a gym class found a GraphQL endpoint with no authorization check on cancellations and removed another member from the waitlist. The same flaw had been reported in April and never fixed. Broken object-level authorization does not surface in scanners because detecting it requires replaying calls across two authenticated identities.

The Solution

Point the tool at your API with two test accounts. It enumerates every mutation and endpoint, replays each one with the wrong identity, and reports where the call succeeds anyway. It runs on every deploy and diffs against the last known-good authorization map.

Key Signals

MRR Potential

$5K-20K

Competition

Low

Build Time

1-3 Months

Search Trend

rising

Market Timing

The Melbourne gym incident ran in the BBC, The Register, Engadget, and Tom's Hardware between 10 and 11 August 2026. Broken object-level authorization has held the top spot on the OWASP API Security Top 10 since 2019 with no affordable automated test.

MVP Feature List

  1. 1REST and GraphQL endpoint enumeration from a schema or OpenAPI spec
  2. 2Cross-identity replay using two or more test accounts
  3. 3Authorization map diffing on every deploy
  4. 4CI integration with a fail-the-build gate
  5. 5Severity ranking by what the successful call exposed
  6. 6Remediation snippets per framework
  7. 7Scheduled scans with Slack alerts

Suggested Tech Stack

PythonPlaywrightPostgreSQLGitHub ActionsNext.js

Go-to-Market Strategy

Free scan of a single endpoint as the lead magnet, promoted in the vertical SaaS communities where booking software gets built. $79/month for continuous scanning. Publish incident breakdowns of public agent-triggered API failures to earn search traffic and backlinks.

Target Audience

Vertical SaaS Engineering TeamsBooking and Scheduling PlatformsBackend DevelopersFractional Security Leads

Monetization

Tiered Plans

Competitive Landscape

Burp Suite and StackHawk find injection and misconfiguration but need manual setup to reason about authorization logic. Escape and 42Crunch chase enterprise API security budgets. Akto covers BOLA testing but packages and prices for security teams, not the three-person shop that built the gym booking app.

Why Now?

Consumer AI agents now probe APIs on behalf of ordinary users and narrate exactly what they found in plain language. Flaws that sat undiscovered for years get exercised within weeks, and the press coverage lands on the vendor rather than the agent.

Tools & Resources to Get Started

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Frequently Asked Questions

What problem does AuthzProbe solve?

In August 2026 a consumer AI agent booking a gym class found a GraphQL endpoint with no authorization check on cancellations and removed another member from the waitlist. The same flaw had been reported in April and never fixed. Broken object-level authorization does not surface in scanners because detecting it requires replaying calls across two authenticated identities.

How much MRR can AuthzProbe generate?

AuthzProbe has $5K-20K MRR potential with a Tiered Plans model. The estimated build time is 1-3 Months with Low competition in the market.

What are the MVP features for AuthzProbe?

REST and GraphQL endpoint enumeration from a schema or OpenAPI spec. Cross-identity replay using two or more test accounts. Authorization map diffing on every deploy. CI integration with a fail-the-build gate. Severity ranking by what the successful call exposed. Remediation snippets per framework. Scheduled scans with Slack alerts.

What is the go-to-market strategy for AuthzProbe?

Free scan of a single endpoint as the lead magnet, promoted in the vertical SaaS communities where booking software gets built. $79/month for continuous scanning. Publish incident breakdowns of public agent-triggered API failures to earn search traffic and backlinks.

Who is the target audience for AuthzProbe?

The primary target audience includes Vertical SaaS Engineering Teams, Booking and Scheduling Platforms, Backend Developers, Fractional Security Leads. Consumer AI agents now probe APIs on behalf of ordinary users and narrate exactly what they found in plain language. Flaws that sat undiscovered for years get exercised within weeks, and the press coverage lands on the vendor rather than the agent.

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