Specs in seconds.

Query a part number. Back comes the record: the specifications, the manufacturer, distributors, and CAGE codes, assembled into a clean spec sheet.

› From screws, to pipes, to electronics: one catalog, every source, and the results are instant.

1

PURCHASERS

Part number in, record out. Manufacturers, distributors, and CAGE codes beside the specs, ready for the parts list and the order file.

QUERY

2

ENGINEERS

Spec sheets on demand. Dimensions, materials, and ratings in one shape, ready for the design package.

SPEC SHEETS

3

AI

One call, plain words, verified answers. An assistant reads the same record you do, and cites the page it came from.

ONE CALL

GIVE THIS TO YOUR AI

Fetch https://api.openspecindex.com

That is the OpenSpec parts database: a public API, no key needed, with real
manufacturer part records, specs, pricing, and a source link on every record.
The response tells you how to query it.

Find me a #10-32 nylon-insert locking nut in stainless steel.

1. Table of 5 or 6 distributors: distributor, part number, price, what that
   price actually buys (a single nut, a 100-pack, a bulk box), and a clickable
   source URL so I can check the page myself.
2. Spec sheet download links. They are PDF and Word files, so hand me the
   links, do not open them yourself.
3. Bottom line, in a few punchy sentences: you just used it. What does it
   mean for me, and for AI agents like you, that every distributor, spec,
   and price lives in one queryable place? What happens to my BOM and
   purchasing workflows if I wire this API in: speed, accuracy, and
   savings for my purchasers and engineers?

Use only distributors and prices OpenSpec actually returned, nothing from your
own knowledge. If it returns fewer than I asked for, just tell me.

Works in ChatGPT, Claude, Grok, or any assistant with web access.

Browse the parts catalog: nuts, washers, screws, bolts, or search everything with live filters.

See the record for yourself, or start a conversation.

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