A plug between your AI assistant and LevaData.
On its own, an AI assistant only knows what it learned in training. It cannot see your prices, so it guesses. MCP (Model Context Protocol) is an open standard that lets an AI assistant reach outside data and tools in one secure way. LevaData Zeta MCP is LevaData's side of that plug.
Your AI assistant
The assistant you already type into every day. Your company chooses it and pays for it.
LevaData Zeta MCP
A short list of LevaData tools with plain descriptions, such as "benchmark these parts" or "build a negotiation playbook". The assistant reads the list and calls the right one.
Your LevaData data
The same benchmark engine, part insights and master cost file behind the LevaData platform. Every number comes from there, not from the AI.
Think of USB-C. Before it, every device needed its own cable. MCP is one plug shape for AI, so a tool built for it can work with any assistant that supports the standard.
A buyer's morning, inside their own AI.
Three requests a buyer could make without opening LevaData. Pick one to replay it. The numbers are the same sample data as the platform tour, so the answer in the assistant matches the platform.
What just happened
- 1The buyer asked in plain English. No LevaData screen was opened.
- 2The assistant saw it needed LevaData and called one of its tools.
- 3LevaData checked who the buyer is and ran the request on their company's data only.
- 4The assistant wrote the answer from LevaData's numbers.
Why this request matters
See this in the platform tour →LevaData's answers, wherever you already work.
The LevaData platform stays where you do the full analysis. The MCP connection adds a faster way in for everyday questions, and every answer links back to the full view in LevaData.
Answers in the tool you already use
Ask "where am I over benchmark?" in the assistant you use all day and get the answer in seconds. No hunting for the right screen.
Real numbers, not AI guesses
The assistant reads the benchmark from the same engine as your platform, so the number is one you can defend in a negotiation. It also tells you which parts it could not match, so a gap is never hidden inside a total.
LevaData plus your other tools
Your assistant may also be connected to email, documents and other systems. "Take my overpriced parts and draft a note to each supplier" becomes one request instead of four screens.
Questions you can ask
Which of my parts are we paying over benchmark for?
benchmark_partsHow many of my part numbers did LevaData match?
check_coverageWhy is UPW1J331MHD1TO an opportunity?
part_insightBuild me a playbook for my SANMINA meeting.
negotiation_playbookHow does my pricing from MURATA compare with other suppliers?
supplier_summaryPlanned toolDraft quote requests for the play 1 parts.
draft_quote_requestTool names are working names and may change before release.
Other connectors look up prices. LevaData tells you what you should be paying.
An assistant can already find a part's list price on the web or through a part-search connector. That is the price anyone can see. LevaData compares what you pay with what other companies actually paid for the same part number, and with the market, and turns the gap into savings you can act on.
| What you need | An AI assistant on its ownAnswers from training and the web | Part-search connectorsLook up a part and its distributor prices | LevaData Zeta MCPBenchmarks your own spend |
|---|---|---|---|
| Knows what you actually pay | No | No | Yes, from your loaded spend |
| Compares with what other companies paid for the same part | No | No, list prices only | Yes, real prices paid |
| Matches by exact part number, not a category average | Often guesses | Yes | Yes, by MPN |
| Several benchmarks for each part | No | Distributor prices | Internal, distributor, LevaData and alternate |
| Tells you which parts it could not match | No | Varies | Yes, every answer |
| Turns the gap into a negotiation plan | No | No | Yes, three plays per supplier |
| Carries through to quotes and awarded prices | No | No | Planned, through LevaData Negotiations |
Green: yes. Yellow: partly or planned. Red: no. Based on what general assistants and public part-search connectors offer as of October 2026.
Real prices paid, not list prices
The benchmark comes from what other LevaData customers bought the same part for, alongside the market. That data is not on the web for an assistant to find.
The same answer everywhere
The assistant calls the same tools that power the LevaData platform, so the number in your chat matches the number on your Benchmark screen.
From answer to action
The playbook, the quote request and the awarded price are already part of LevaData. The assistant connects to that flow instead of stopping at an answer.
Built for confidential pricing.
Your prices are your company's confidential data. These are the rules the connection is being built to.