# Datainsurance

**Canonical:** https://apis.io/providers/datainsurance/  
**APIs profiled:** 0

Datainsurance is an early-stage US company listed in the Anthemis Group venture portfolio under the Insurance & Risk Management thesis. Anthemis publishes no company website, logo, or description for the listing, and this enrichment pass found no live public web presence: datainsurance.com, .io, .net and .tech all resolve to parked domain-sale landers, and there is no GitHub organization or public repository under the name. No developer portal, documentation, OpenAPI, or any other API artifact could be located, so the company is carried in the API Evangelist network as an unresolved venture-portfolio lead rather than an API provider. It appears to be defunct, never publicly launched, or operating under a different brand name.

## Kin Score — 0.9 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 0.9).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Insurance**: 0.0 (matched via 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

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Tags

Company, Insurance, Risk Management, Insurtech, Venture Backed, Early Stage, Portfolio Lead, Unresolved

---

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