# Aiqaramba

**Canonical:** https://apis.io/providers/aiqaramba-com/  
**Website:** https://aiqaramba.com/  
**APIs profiled:** 1

Aiqaramba provides a platform to trace AI feature usage in production, building evaluations from real runs and measuring cost versus quality. Their service offers tracing, evaluation, and release checks to ensure AI models perform reliably, with tools for browser automation, search, and chat agents. They help teams monitor AI costs, detect quality regressions, and integrate evaluations into existing tooling, supporting both custom and Langfuse integrations.

## Kin Score — 10.2 / 100 (minimal)

Scored 2026-11-02 under rubric 0.26.0.

| Facet | Score |
|---|---|
| Discoverability | 58.9 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Access Clarity | 23.7 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.1 (matched via fallback).

## Agent readiness — 6.6 (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 | no |
| Consent Identity | no |
| Agent Card | near-conformant |
| 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)

- **Aiqaramba API** — Browser-based QA testing for AI-generated web applications.

## Security (1)

- **Aiqaramba Com Domain Security** — TLSv1.3

## Tags

Artificial Intelligence, Monitoring, Tracing, Evaluation, Cost-Quality

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