# Data.ai

**Canonical:** https://apis.io/providers/dataai/  
**Website:** https://www.data.ai  
**APIs profiled:** 0

Data.ai (founded as App Annie in 2010, rebranded to data.ai in 2022) was a mobile app market-data and analytics provider, offering estimates of app downloads, revenue, usage, and competitive market intelligence across the iOS App Store and Google Play for publishers, brands, and investors. The company historically exposed a market-data API (api.data.ai) for programmatic access to app performance and store intelligence. Data.ai was acquired by Sensor Tower in 2024 and now operates as a Sensor Tower company; its standalone site is a gated login and the former public API host serves a default page, so its independent API surface has been consolidated into Sensor Tower and effectively retired. Surfaced in the API Evangelist network as an ivp portfolio company.

## Kin Score — 1.2 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 1.2).

| 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 — **Securities & Market Data**: 10.0 (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).

## Security (1)

- **Dataai Domain Security** — TLSv1.2 · HSTS · DMARC

## Tags

Company, Analytics, Mobile, App Store, Market Data, Business Intelligence, App Analytics

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