# Noise

**Canonical:** https://apis.io/providers/noise/  
**Website:** https://noise.xyz  
**APIs profiled:** 0

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.

## Kin Score — 3.9 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 3.9).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 9.5 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Securities & Market Data**: 10.0 (matched via weak_tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Requires approval — onboarding: approval, pricing: unknown, trial: no (confidence: medium).

## Security (1)

- **Noise Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Crypto, Prediction Markets, Attention Markets, Base, Trading, Consumer, Web3

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/noise/). Scores are computed from the provider's own public artifacts under a published rubric.