---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/record-collector/use-cases/appraise-vinyl-collection/openclaw
---
# How to Appraise a Vinyl Collection with OpenClaw

Estimate the market value of a vinyl collection by pulling current price data for each release and aggregating the totals. Use `collection_value`, `price_guide`, and `search_releases` to build the picture. OpenClaw is ideal when you need to batch-process a large collection with a consistent schema across every record for repeatable appraisals.

## Setup

openclaw mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

1. Connect ToolRouter in OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Define your output schema before starting: decide which fields (artist, title, catalog, edition, value range, confidence) you want for every record.
3. Run `collection_value` through `record-collector` for the batch, then iterate with `search_releases` and `price_guide` on records that need individual confirmation.
4. Review the batch output, rerun any records with low confidence or missing identifiers, and lock the final schema.
5. Use the normalized dataset for insurance, sale prep, or periodic reappraisal.

## Example Prompt

```
Use record-collector to appraise my vinyl collection of about 200 jazz and soul records from the 1960s and 1970s. Run collection_value for the batch, then search_releases and price_guide on the top 10. Keep a stable output schema so I can rerun this appraisal quarterly.
```

## Tips

- Lock the output schema early so quarterly reappraisals produce directly comparable datasets.
- Batch similar genres together to reduce ambiguity in title matching across large collections.
