# Datawisp

**Canonical:** https://apis.io/providers/datawisp/  
**Website:** https://docs.datawisp.io/  
**APIs profiled:** 1

Datawisp is a no‑code analytics platform that enables users to analyze data and discover insights without technical expertise. It offers a node‑based interface for building data‑processing pipelines, AI‑powered assistance via Wispy for natural‑language chart creation, real‑time collaboration, and sharing capabilities. The platform runs in the browser and supports a variety of data blocks for filtering, sorting, visualizing, and more, targeting both technical and non‑technical users.

## Kin Score — 12.5 / 100 (emerging)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 18.2 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 28.6 |
| Access Clarity | 0.0 |

Regulatory layer — **AI & Biometrics**: 10.8 (matched via residual_tags).

## Agent readiness — 3.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## APIs (1)

- **Datawisp API** — Datawisp provides a no‑code analytics platform accessible via a web UI; no public machine‑readable API contract was found.

## Security (1)

- **Datawisp Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Analytics, No-Code, Data Visualization, Collaboration, AI Assistant

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