Noise

Noise is a consumer "attention markets" / trend-prediction platform built on Base where curators propose trend pages and communities trade markets on how relevant a topic, brand, or movement becomes over time. Market price reflects a central "relevance" number, with funding and liquidation mechanics familiar from perpetual markets. Noise raised a $7.1M seed round led by Paradigm and launched an invite-only testnet beta. It is a mobile-first consumer app rather than a developer platform; its public surface is product documentation (Mintlify) at docs.noise.xyz — no first-party developer API, SDKs, or authentication scheme is currently published.

Noise is profiled on the APIs.io network. Tagged areas include Company, Crypto, Prediction Markets, Attention Markets, and Base.

Noise’s developer surface includes documentation and 3 more developer resources.

9.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessApproval
0 APIs
CompanyCryptoPrediction MarketsAttention MarketsBaseTradingConsumerWeb3

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 9.2/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 1.7 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/noise: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Noise Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Access & Security 1

Authentication, authorization, and security posture

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: noise
accessModel:
  pricing: unknown
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Requires approval
  confidence: medium
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/noise.png
name: Noise
description: Noise is a consumer "attention markets" / trend-prediction platform built on Base where curators propose trend
  pages and communities trade markets on how relevant a topic, brand, or movement becomes over time. Market price reflects
  a central "relevance" number, with funding and liquidation mechanics familiar from perpetual markets. Noise raised a $7.1M
  seed round led by Paradigm and launched an invite-only testnet beta. It is a mobile-first consumer app rather than a developer
  platform; its public surface is product documentation (Mintlify) at docs.noise.xyz — no first-party developer API, SDKs,
  or authentication scheme is currently published.
url: https://raw.githubusercontent.com/api-evangelist/noise/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- paradigm
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Crypto
- Prediction Markets
- Attention Markets
- Base
- Trading
- Consumer
- Web3
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://noise.xyz
- type: Documentation
  url: https://docs.noise.xyz/introduction
- type: LLMsTxt
  url: llms/noise-llms.txt
- type: DomainSecurity
  url: security/noise-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 2
  pass: local-v1