# AI Backtester

**Canonical:** https://apis.io/providers/aibacktester-app/  
**Website:** https://aibacktester.app/  
**APIs profiled:** 1

AI Backtester provides free AI-powered backtesting for crypto trading strategies, allowing users to describe strategies in plain English and receive detailed performance reports instantly.

## Kin Score — 17.4 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: falling (-7.6 from 25.0).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 13.1 |
| Access Clarity | 43.4 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 23.6 (matched via fallback).

## Agent readiness — 21.2 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | served |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Freemium · Open access — onboarding: open, pricing: freemium, trial: no (confidence: medium).

## APIs (1)

- **AI Backtester API** — Guides: backtesting trading strategies honestly — AI Backtester

## Security (2)

- **Aibacktester App Authentication** — 0 schemes
- **Aibacktester App Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Aibacktester App Plans Pricing**

## Tags

Artificial Intelligence, Cryptocurrency, Backtesting, Finance, Automation

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