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Panther

Panther is a cloud-native, code-driven detection and response platform and AI-powered SOC that ingests and normalizes security logs at petabyte scale into a security data lake (customer-connected AWS/Snowflake/Databricks or Panther-hosted). It offers Python detection-as-code, AI-generated detections, correlation and scheduled rules, cloud-security policies, and an AI SOC agent that auto-triages and investigates alerts. Developers automate it through a REST API (X-API-Key), a GraphQL API, Terraform, the panther_analysis_tool CLI, and official local and remote MCP servers. Backed by ICONIQ Capital and Lightspeed Venture Partners.

agent native

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

Kin Score

API Evangelist profiles Panther the way a machine reads it — 27 machine-readable artifacts across 21 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Panther scores 54.6/100 (developing), with a separate agent-readiness read of 67/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 54.6/100 · developing
Contract Quality 15.3 / 25
Developer Ergonomics 13.5 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 3.8 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 67/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 6 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

How we profile Panther

Each block below is one kind of artifact we hold for Panther. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 21

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Panther alert API

The alert api handles all operations for alerts

Panther api token API

The api token api handles all operations for api tokens

Panther aws cloud account API

The AWS Cloud Account API handles all operations for AWS Cloud Account scanner integrations

Panther comment API

The comment api handles all operations for alerts comments

Panther contexttag API

The context tag API handles all operations for alert context tags

Panther correlation rule API

The correlation rule api handles all operations for correlation rules

Panther data model API

The data model api handles all operations for data models

Panther gcs source API

The GCS source API handles all operations for Google Cloud Storage log sources

Panther global API

The global api handles all operations for globals

Panther http source API

The http source api handles all operations for http sources

Panther log forwarder source API

The log forwarder source api handles all operations for log forwarder sources

Panther log source alarm API

Manage the drop-off alarm (SOURCE_NO_DATA) for log source integrations. Other alarm types shown in the Panther UI (permissions checks, classification failures, log-processing er...

Panther policy API

The policy api handles all operations for policies

Panther pub/sub source API

The Pub/Sub source API handles all operations for GCP Pub/Sub log sources

Panther query API

The query api handles operations for queries

Panther role API

The role api handles all operations for roles

Panther rule API

The rule api handles all operations for rules

Panther s3 source API

The S3 source API handles all operations for AWS S3 log sources

Panther scheduled rule API

The scheduled rule api handles all operations for scheduled rules

Panther simple rule API

The simple rule api handles all operations for simple rules

Panther user API

The user api handles all operations for users

Scroll within the panel for all 21 ·

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

panther-mcp.yml

MCP SERVER

Event Specifications 1

Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Panther Authentication

apiKey · 1 scheme

SECURITY

Panther Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Panther Trust Center

SOC 2 Type II, ISO 27001, PCI DSS

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

Recommended x-agentic-access execution contracts for AI agents.

Panther Agentic Access

96 operations · 61 acting

96 operations · 61 acting

AGENTIC

Resources

Every other property we hold for Panther — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 3

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/panther · machine-readable index on apis.io