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Tano

Tano is an AI-native influencer marketing agency and AI-powered creator marketing platform that manages end-to-end creator partnership ad campaigns on TikTok and Instagram — creator sourcing and vetting, outreach and contracts, payments, content rights, whitelisting permissions, and ad-ready asset delivery. Brands plug in budget and goals and Tano delivers ad-ready creator assets. It is a managed service with a dedicated account manager rather than self-serve SaaS, but exposes a strong agent-native surface: a public OpenAPI 3.1 intake API, a hosted MCP server (Streamable HTTP with MCP Apps embeddable UIs), an A2A agent card, an agent-skills index, an ai-plugin manifest, and llms.txt / agents.md discovery docs. Other services include Product Gifting and Affiliate Programme Management. Backed by Seedcamp.

agent native

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 Tano the way a machine reads it — 9 machine-readable artifacts across 5 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 — Tano scores 42.8/100 (thin), with a separate agent-readiness read of 69/100 (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 — 42.8/100 · thin
Contract Quality 13.4 / 25
Developer Ergonomics 13.0 / 20
Commercial Clarity 6.3 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 69/100 · 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 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

How we profile Tano

Each block below is one kind of artifact we hold for Tano. 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 5

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.

Tano Brand Signups API

Brand signups for product offerings (Creator Partnership Ads, Content Analysis Framework, Creator Discovery Guide, USA waitlist).

Tano Contact API

Contact form submissions and updates.

Tano Creator Signups API

Creator-side signups.

Tano Discovery API

Static discovery files for AI agents (llms.txt, manifests, sitemap).

Tano Events API

Webinar and event registrations.

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.

tano-mcp.yml

MCP SERVER

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.

Tano Authentication

none · 0 schemes

SECURITY

Tano Domain Security

TLSv1.3 · HSTS · DMARC

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.

Tano Agentic Access

17 operations · 9 acting

17 operations · 9 acting

AGENTIC

Resources

Every other property we hold for Tano — 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 2

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

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