adaptyv: Design & UI for AI Agents | OpenAgentSkill

Overview

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

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Adaptyv

Adaptyv is a cloud laboratory platform that provides automated protein testing and validation services. Submit protein sequences via API or web interface and receive experimental results in approximately 21 days.

Quick Start

Authentication Setup

Adaptyv requires API authentication. Set up your credentials:

Contact support@adaptyvbio.com to request API access (platform is in alpha/beta)
Receive your API access token
Set environment variable:

export ADAPTYV_API_KEY="your_api_key_here"

Or create a .env file:

ADAPTYV_API_KEY=your_api_key_here

Installation

Install the required package using uv:

uv pip install requests python-dotenv

Basic Usage

Submit protein sequences for testing:

import os
import requests
from dotenv import load_dotenv

load_dotenv()

api_key = os.getenv("ADAPTYV_API_KEY")
base_url = "https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

# Submit experiment
response = requests.post(
    f"{base_url}/experiments",
    headers=headers,
    json={
        "sequences": ">protein1\nMKVLWALLGLLGAA...",
        "experiment_type": "binding",
        "webhook_url": "https://your-webhook.com/callback"
    }
)

experiment_id = response.json()["experiment_id"]

Available Experiment Types

Adaptyv supports multiple assay types:

Binding assays - Test protein-target interactions using biolayer interferometry
Expression testing - Measure protein expression levels
Thermostability - Characterize protein thermal stability
Enzyme activity - Assess enzymatic function

See reference/experiments.md for detailed information on each experiment type and workflows.

Protein Sequence Optimization

Before submitting sequences, optimize them for better expression and stability:

Common issues to address:

Unpaired cysteines that create unwanted disulfides
Excessive hydrophobic regions causing aggregation
Poor solubility predictions

Recommended tools:

NetSolP / SoluProt - Initial solubility filtering
SolubleMPNN - Sequence redesign for improved solubility
ESM - Sequence likelihood scoring
ipTM - Interface stability assessment
pSAE - Hydrophobic exposure quantification

See reference/protein_optimization.md for detailed optimization workflows and tool usage.

API Reference

For complete API documentation including all endpoints, request/response formats, and authentication details, see reference/api_reference.md.

Examples

For concrete code examples covering common use cases (experiment submission, status tracking, result retrieval, batch processing), see reference/examples.md.

Important Notes

Platform is currently in alpha/beta phase with features subject to change
Not all platform features are available via API yet
Results typically delivered in ~21 days
Contact support@adaptyvbio.com for access requests or questions
Suitable for high-throughput AI-driven protein design workflows

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File metadata

name: adaptyv
description: Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

View original text

---
name: adaptyv
description: Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
---

# Adaptyv

Adaptyv is a cloud laboratory platform that provides automated protein testing and validation services. Submit protein sequences via API or web interface and receive experimental results in approximately 21 days.

## Quick Start

### Authentication Setup

Adaptyv requires API authentication. Set up your credentials:

1. Contact support@adaptyvbio.com to request API access (platform is in alpha/beta)
2. Receive your API access token
3. Set environment variable:

```bash
export ADAPTYV_API_KEY="your_api_key_here"
```

Or create a `.env` file:

```
ADAPTYV_API_KEY=your_api_key_here
```

### Installation

Install the required package using uv:

```bash
uv pip install requests python-dotenv
```

### Basic Usage

Submit protein sequences for testing:

```python
import os
import requests
from dotenv import load_dotenv

load_dotenv()

api_key = os.getenv("ADAPTYV_API_KEY")
base_url = "https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

# Submit experiment
response = requests.post(
    f"{base_url}/experiments",
    headers=headers,
    json={
        "sequences": ">protein1\nMKVLWALLGLLGAA...",
        "experiment_type": "binding",
        "webhook_url": "https://your-webhook.com/callback"
    }
)

experiment_id = response.json()["experiment_id"]
```

## Available Experiment Types

Adaptyv supports multiple assay types:

- **Binding assays** - Test protein-target interactions using biolayer interferometry
- **Expression testing** - Measure protein expression levels
- **Thermostability** - Characterize protein thermal stability
- **Enzyme activity** - Assess enzymatic function

See `reference/experiments.md` for detailed information on each experiment type and workflows.

## Protein Sequence Optimization

Before submitting sequences, optimize them for better expression and stability:

**Common issues to address:**
- Unpaired cysteines that create unwanted disulfides
- Excessive hydrophobic regions causing aggregation
- Poor solubility predictions

**Recommended tools:**
- NetSolP / SoluProt - Initial solubility filtering
- SolubleMPNN - Sequence redesign for improved solubility
- ESM - Sequence likelihood scoring
- ipTM - Interface stability assessment
- pSAE - Hydrophobic exposure quantification

See `reference/protein_optimization.md` for detailed optimization workflows and tool usage.

## API Reference

For complete API documentation including all endpoints, request/response formats, and authentication details, see `reference/api_reference.md`.

## Examples

For concrete code examples covering common use cases (experiment submission, status tracking, result retrieval, batch processing), see `reference/examples.md`.

## Important Notes

- Platform is currently in alpha/beta phase with features subject to change
- Not all platform features are available via API yet
- Results typically delivered in ~21 days
- Contact support@adaptyvbio.com for access requests or questions
- Suitable for high-throughput AI-driven protein design workflows

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Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill depends on an external API that is in alpha/beta, so endpoints and behavior may change without notice.
The documentation does not explicitly mention rate limits or error handling strategies for the API.

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License: Apache-2.0
Version: 1.0.0
Last GitHub push: Aug 31, 2026
Registry updated: Sep 2, 2026
Instruction path: bundled/skills/adaptyv/SKILL.md @ ddcaa2affca9

Version reported in registry metadata; check source releases before relying on it.

Quality

82/100

Strong

Trust

61/100

Sandbox only

Audit

79/100

Needs review

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