SigOpt
SigOpt was a machine learning experimentation and optimization platform whose API applied ensemble Bayesian and black-box optimization to tune model hyperparameters, run design-of-experiments, and track experiment metadata at scale. Developers integrated its REST API and first-party clients (Python, Java, R, scikit-learn, Spark, MATLAB) to drive automated hyperparameter search from their training loops. SigOpt was acquired by Intel in 2020 and its hosted API and platform were subsequently discontinued; sigopt.com now redirects to an Intel corporate redirector and the api./app./docs.sigopt.com hosts no longer resolve. The GitHub organization (github.com/sigopt) and the published client libraries remain public as historical, first-party artifacts, including an open-sourced server and optimization engine (sigopt-server, sigoptlite, libsigopt).
SigOpt is profiled on the APIs.io network. Tagged areas include Company, Machine-Learning, Optimization, Hyperparameter Tuning, and Experimentation.
Kin Score
Resources
Build 4
SDKs, sample code, and the tooling you integrate with
Company 1
The organization behind the API
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for providers
9 MCP tools reach this
find_providersBrowse and filter every provider in the catalog.get_provider_artifactsEvery artifact this provider publishes, grouped by type.get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.get_provider_toolsEvery MCP tool they ship, with the operation each wraps.get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.get_provider_ratingPRO — composite, band, trend and facet scores.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
curl "https://apis.io/api/v1/providers/sigopt"
curl "https://apis.io/api/v1/providers?limit=25"
curl "https://apis.io/api/v1/providers/sigopt/operations?limit=25"
curl "https://apis.io/api/v1/providers/sigopt/evidence"
Discovery needs no key. Ratings and market analysis are Pro.