Operator

Input—per 1M tokens

Output—per 1M tokens

Context—tokens

WeightsClosed

About

Operator is ranked #15 of 27 in API security testing software on Inferse. It runs on Web.

Compared on API security testing software

Free plan: Yesplanckproof.ai
API discovery: Yesplanckproof.ai
Authentication testing: Yesplanckproof.ai
Authorization testing: Yesplanckproof.ai
Input-validation testing: Yesplanckproof.ai
Business-logic testing: Yesplanckproof.ai
Deployment: hybridplanckproof.ai
API formats: REST, GraphQL, gRPC, OpenAPI, Swaggerplanckproof.ai

Facts

What it does: Operator is an autonomous, agentic API penetration testing agent.planckproof.ai · 30 Sept 2026
How it works: It parses an OpenAPI or Swagger specification, enumerates documented operations, and tests them autonomously.planckproof.ai · 30 Sept 2026
Required inputs: Customers provide a verified domain, API base URL, OpenAPI or Swagger specification, and one bearer token per user role.planckproof.ai · 30 Sept 2026
Vulnerability coverage: It tests for BOLA, BFLA, broken authentication, injection, and related authorization weaknesses across roles and tenants.planckproof.ai · 30 Sept 2026
API coverage: Coverage includes REST, GraphQL, and gRPC APIs, plus agents and RAG systems behind them.planckproof.ai · 30 Sept 2026
Finding proof: Every reported finding includes exact requests and responses, reproduction steps, a CVSS v3.1 vector, and remediation guidance.planckproof.ai · 30 Sept 2026
Scope limit: Operator tests only documented operations included in the supplied specification and does not perform blind fuzzing.planckproof.ai · 30 Sept 2026
Delivery model: Operator is delivered as a managed capability with a defined scope and fixed quoted price.planckproof.ai · 30 Sept 2026
Integrations: Findings can be routed to GitHub, GitLab, Slack, Jira, ServiceNow, CI/CD pipelines, SIEM systems, webhooks, and a documented API.planckproof.ai · 30 Sept 2026
Security controls: Engagement data is encrypted in transit and at rest, access is limited to the assigned team, and retention and destruction schedules are defined per engagement.planckproof.ai · 30 Sept 2026
Data use: Client data, findings, and reports are never used to train models, tune tooling, or build datasets.planckproof.ai · 30 Sept 2026
Enterprise deployment: Enterprise availability includes SSO/SAML, roles, private VPC or on-premises deployment, SLAs, and dedicated support.planckproof.ai · 30 Sept 2026
Support: The Pro plan includes 24/7 support for scan-related questions and issues.planckproof.ai · 30 Sept 2026
Target customers: Planck Proof works with finance, healthcare, SaaS, energy, manufacturing, and government contracting organizations.planckproof.ai · 30 Sept 2026