An Escape alternative built on proof you can re-run
Escape is a capable API and GraphQL security platform now moving into agentic pentesting. Operator by Planck Proof shares the API-first, proof-forward premise and draws the line in a different place: every finding comes with a reproducible proof-of-concept you replay yourself, the pricing model is public, and your First Scan is free.
Updated September 2026 · Competitor details as of September 2026
Both prove findings. Only one hands you a proof to re-run.
Escape ships real evidence, and that makes it a serious tool, not a soft target. The distinction is the standard of proof: reproducible-by-you versus validated-by-their-AI, and how you buy.
| Operator by Planck Proof | Escape | |
|---|---|---|
| Proof standard | A reproducible PoC you re-run yourself, on every finding | Real evidence, filtered by an internal AI false-positive step |
| Focus | Agentic API pentest specialist | Broadening from API/GraphQL into general offensive security |
| Pricing | Model published; free First Scan; quoted | Sales-led, no public price, credit/unit model |
| Getting started | Free first scan, no demo required | Book a demo |
| GraphQL | Covered, with reproducible proof | Deep native GraphQL, a genuine strength |
| Benchmark | Open and reproducible on public targets | Self-reported, self-validated |
Escape is a well-funded, YC-backed team with real CVEs and a strong open-source and community presence. The contrast here is the proof standard, pricing transparency, and focus, not a claim that Escape lacks substance. It does not.
A serious API and GraphQL security team
Escape earned its reputation on native GraphQL depth and a business-logic-aware engine, backs it with real, credited CVEs, and supports the whole thing with open-source tooling and an active community. For teams that want a broad offensive-security platform and value that ecosystem, it is a credible choice.
We share Escape's premise that a finding should come with evidence, not just an alert. Where we differ is that we think the evidence should be reproducible by the customer, not certified by the vendor's own AI, and that the entry point should be a free scan, not a sales call.
- Native GraphQL depth. Introspection, batching, and directive attacks handled first-hand.
- Real CVE track record. Credited, reproducible disclosures with named researchers.
- Open-source and community. Widely used tooling and a real developer following.
- Well-funded and integrated. Broad CI/CD, SARIF, and workflow integrations.
Proof you re-run, pricing you can see, focus that stays sharp
An LLM-driven agent can occasionally report an exploit that does not hold up, which is why a platform adds an internal AI step to catch its own false positives. Operator answers the same problem differently: the proof is reproducible by you, so you never have to trust a classifier's verdict.
- Reproducible proof, not AI-triaged findings. Every result ships with the request, response, and reproduction steps your team replays to confirm it. Nothing that cannot be reproduced reaches your report, so there is no false-positive layer to trust.
- A published pricing model and a free First Scan. No demo gate and no credits bought up front. Get a full proven pentest for free, then pay for the coverage cadence you can count.
- An API pentest specialist, not a widening platform. Focus stays on agentic API testing, deep on BOLA, BFLA, and business logic, rather than spreading across web apps and general offensive security.
- An open benchmark, not a self-scored one. Operator's results are published on public targets in a harness anyone can re-run, instead of numbers only the vendor can reproduce.
- Steerable, human-on-the-loop. Keep autonomous breadth by default, then direct the agent at the business logic that matters to your product.
- Recognized method. Structured against OWASP API Top 10 and WSTG, ASVS, PTES, NIST SP 800-115, MITRE ATT&CK, and CVSS v3.1.
Common questions
How is Operator different from Escape?
Escape started as an API and GraphQL security platform and has moved into agentic pentesting. Operator by Planck Proof is an agentic API pentester whose defining standard is reproducible proof: every finding ships with a working proof-of-concept the customer can replay, rather than findings certified by an internal AI verification step. Operator also publishes a pricing model and offers a free First Scan, where Escape is demo-gated with a credit-based model.
Does Escape produce real proof-of-concepts?
Yes, and that makes it a serious tool. Escape ships genuine evidence such as request/response chains and working exploits. The difference is the guarantee: because LLM-driven agents can occasionally report an exploit that does not hold up, Escape adds an internal AI false-positive step. Operator's standard is a proof you re-run yourself, so verification does not depend on trusting the vendor's classifier.
What does Escape's pricing look like versus Operator?
Escape is sales-led with no public pricing and a credit or unit model bought up front. Operator's pricing model is public, and the First Scan is free and self-serve, so you can see your real exposure before any sales conversation.
Is Escape an API specialist?
Escape began as an API and GraphQL specialist and has since broadened into general offensive security. Operator stays focused on agentic API penetration testing, going deep on API authorization flaws, business logic, and per-finding reproducible proof.
How do I get started with Operator?
Your first scan is free and self-serve: a full agentic run that tests every operation and proves each finding with a reproducible proof-of-concept without a demo or a quote. Paid tiers add continuous re-testing and scale by endpoint volume.
Other alternatives, compared
Every comparison on this site is judged on one thing first: whether each finding ships a runnable proof-of-concept you can re-run yourself. See how Operator tests for BOLA and BFLA.
See a finding you can reproduce, for free.
Point Operator at your API and see your real exposure at no cost. Then replay any finding to confirm it, no AI classifier required.