# Clear Tape

**Canonical:** https://apis.io/providers/cleartape-ai/  
**Website:** https://cleartape.ai/  
**APIs profiled:** 0

Clear Tape provides a US stock screener that evaluates companies on quality, value, growth and momentum using rule‑based strategies. It offers transparent backtests, live records of picks, and a free tier to start screening stocks without price predictions. The platform emphasizes honest data, verifiable results, and clear documentation for developers.

## Kin Score — 15.2 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 48.3 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 8.3 |
| Access Clarity | 47.4 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.8 (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

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

## MCP servers (1)

- **Clear Tape MCP Server** — Remote MCP server at app.cleartape.ai.

## Security (1)

- **Cleartape Ai Domain Security** — TLSv1.3 · HSTS

## Plans (1)

- **Cleartape Ai Plans Pricing**

## Tags

Finance, Stock Screener, Data, Backtesting, Free Tier

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