laundromatic/shopgraph
by Various
The extraction API that shows its work. Product data extraction with per-field confidence scoring and extraction provenance. REST API + MCP server. 50 free calls/month.
MCP
laundromatic/shopgraph
Added 1 June 2026
Overview
A product data extraction API that returns per-field confidence scores and provenance for each extracted value. It provides both a REST API and an MCP server, with a free tier of 50 calls per month.
Best for
Best for
Developers who need transparent, auditable product data extraction with confidence metrics.
Use cases
- Extract structured product data from web pages or documents
- Validate extraction accuracy with confidence scoring per field
- Integrate extraction into MCP-compatible workflows
Notes
A product data extraction API that returns per-field confidence scores and provenance for each extracted value. It provides both a REST API and an MCP server, with a free tier of 50 calls per month.
3 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Use cases
- Extract structured product data from web pages or documents
- Validate extraction accuracy with confidence scoring per field
- Integrate extraction into MCP-compatible workflows
Pros
- Transparent results with per-field confidence and provenance
- Free tier (50 calls/month) allows low-risk evaluation
- Offers both REST API and MCP server for flexible integration
Cons
- Free tier limited to 50 calls per month for production use
- Narrowly focused on extraction, not a general-purpose tool
- Scalability or performance for high-volume tasks unknown
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Transparent results with per-field confidence and provenance
- Free tier (50 calls/month) allows low-risk evaluation
- Offers both REST API and MCP server for flexible integration
Cons
- Free tier limited to 50 calls per month for production use
- Narrowly focused on extraction, not a general-purpose tool
- Scalability or performance for high-volume tasks unknown
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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