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Mammoth Media website screenshot

Mammoth Media

Mammoth Media is a Greylock-backed consumer technology company whose current product is TokenBot (mammoth.la now redirects to tokenbot.com) — a social, copy-trading platform for cryptocurrency communities on Discord and Telegram that synchronizes algorithmic trades across 12+ exchanges in real time. For developers TokenBot exposes a documented REST API (api.tokenbot.com/v1), a GraphQL API, HMAC-signed webhooks with 46 event types, a stdio Model Context Protocol (MCP) server exposing 25 tools, and a first-party `tokenbot` CLI distributed via npm and Homebrew. Authentication is API-key (tb_live_/tb_test_) or a secp256k1 signed-request fast-path; the CLI-first design keeps exchange keys under user control (trade-only permissions, no withdrawal access).

agent ready

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Mammoth Media the way a machine reads it — 6 machine-readable artifacts across 1 API, 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 — Mammoth Media scores 44.2/100 (thin), with a separate agent-readiness read of 59/100 (agent ready). 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 — 44.2/100 · thin
Contract Quality 5.7 / 25
Developer Ergonomics 17.0 / 20
Commercial Clarity 6.8 / 20
Operational Transparency 3.8 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Regulatory · Securities & Market Data 8.1 / 15
Agent readiness — 59/100 · agent ready
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 9 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 6 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

How we profile Mammoth Media

Each block below is one kind of artifact we hold for Mammoth Media. 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 1

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.

TokenBot API

REST + GraphQL API for TokenBot copy-trading — manage exchange accounts, strategies, copiers, trades, notifications, rewards, withdrawals, API keys, and webhooks. API-key or sec...

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.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Mammoth Media Rate Limits

0 limits

RATE LIMITS

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 2

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.

Mammoth Media Authentication

apiKey/http/signed-request/jwt · 5 schemes

SECURITY

Mammoth Media Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Mammoth Media — 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.

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

Other 1

Properties that don't map to a standard resource type

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