# Dataful

**Canonical:** https://apis.io/providers/dataful-in/  
**Website:** https://dataful.in/  
**APIs profiled:** 1

Dataful provides a platform that makes working with public data easy, fast, and simple. It offers datasets, collections, sector data, and AI‑powered products, enabling users to explore, analyze, and integrate public information across districts, HFIs, and other domains. The service includes a showcase, pricing plans, and various insights tools, all built to streamline data access for developers and analysts.

## Kin Score — 15.5 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 52.6 |

Regulatory layer — **Government & Public Sector**: 9.8 (matched via tags).

## Agent readiness — 6.0 (agent-aware)

| 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 | yes |
| 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 |
| MCP Tool Quality | na |

## Access

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

## APIs (1)

- **Dataful API** — Dataful provides public data APIs accessible via their platform.

## Security (1)

- **Dataful In Domain Security** — TLSv1.3 · HSTS · DNSSEC

## Plans (1)

- **Dataful In Plans Pricing**

## Tags

Company, Data, Public Data, Datasets

---

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