# Himanshu Rawat

**Canonical:** https://apis.io/providers/himanshufr-me/  
**Website:** https://himanshufr.me/  
**APIs profiled:** 1

Himanshu Rawat is an AI product builder and web developer offering AI integrations, product design, and development services. He showcases projects like pillybot, aimed at medication reminders, and Aimpact, a volunteer AI board. His portfolio includes work in AI, design, and web technologies, emphasizing impact-driven solutions and innovative AI applications.

## Kin Score — 4.5 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 56.7 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 4.8 |
| Developer Ergonomics | 2.4 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 0.0 (matched via fallback).

## Agent readiness — 3.5 (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 |
| MCP Tool Quality | na |

## Access

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

## APIs (1)

- **Aimpact API** — API reference page

## MCP servers (1)

- **Himanshu Rawat MCP Server** — Remote MCP server at aimpact.himanshufr.me.

## Security (1)

- **Himanshu Rawat Domain Security** — TLSv1.3 · DMARC

## Tags

Artificial Intelligence, Web Development, Product Builder, Portfolio, Innovation

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