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Adaptyv Bio Foundry API

A skill for designing, pricing, submitting and retrieving protein characterization experiments through Adaptyv's cloud lab API and Python SDK.

Web & APIAdvanced★ 56,496⑂ 4,969AI score 8/10Last updated: Nov 2, 2026

What it does

  • Guides use of the Adaptyv Foundry REST API and Python SDK (adaptyv, FoundryClient), pinned to a reviewed OpenAPI schema and SDK commit.
  • Walks the full lifecycle: browse the target catalog → cost estimate → create draft → submit → confirm quote → archive results.
  • Provides a validation table of required/forbidden fields and replicate limits per experiment type (affinity, screening, thermostability, expression, fluorescence, epitope binning, enzyme activity).
  • Covers status transitions, results_status checks, pagination, filter/sort grammar, structured errors and x-request-id capture.
  • Documents webhook signature verification (HMAC-SHA256), deduplication, retry behaviour, token scoping and revoke side effects.

Who it's for

  • Protein engineers and wet-lab-adjacent researchers running binder or enzyme assays on Adaptyv Foundry.
  • Computational biologists and ML engineers automating design-build-test loops.
  • Developers wrapping a billing-sensitive experiment API who need safe defaults.

Example uses

  1. "Estimate a BLI screening run for 24 candidate sequences against EGFR" → search the catalog, then call cost_estimate and inspect total cents excluding VAT.
  2. "Submit the draft and get me the invoice link" → submit, poll the asynchronous get_quote, then confirm_quote for the hosted invoice URL.
  3. "Archive the finished experiment without dropping fields" → bypass SDK models, page through REST results and write foundry-results.json.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/adaptyv/SKILL.md

What I want: (describe your task here)

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↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

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Install the skill I found on AI Skill Mart.
Copy the skills/adaptyv folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/adaptyv/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git && mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/adaptyv ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and go to a working directory.
  2. Clone the repository: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  3. Install the skill: mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/adaptyv ~/.claude/skills/
  4. Make sure you have Python 3.11+ and install the reviewed SDK: uv pip install "git+https://github.com/adaptyvbio/adaptyv-sdk.git@cdf207819ed5a58e0c127453626d2bce125c8064"
  5. Create a bearer token in Foundry (https://foundry.adaptyvbio.com → Organization → Settings → Tokens; Viewer for reads, Member for writes) and export it: export ADAPTYV_API_KEY=.... Never print or commit the token.
  6. Verify access: curl --fail-with-body 'https://devs.adaptyvbio.com/api/v1/targets?limit=3' -H "Authorization: Bearer $ADAPTYV_API_KEY"
  7. Restart Claude Code and ask something like "price an Adaptyv screening experiment for these sequences" to trigger the skill. Review any cost estimate before submitting — auto-accept flags can commit real spend.
View source on GitHub ↗License: MIT