Overview - Corsair

Use Bigml through Corsair: one client, typed API calls, local DB sync. What you get:

45 typed API operations
37 synced entities (anomalies, anomalyScores, associations, associationSets, batchAnomalyScores, batchCentroids, and 31 more) for fast .search() / .list()

Setup

Install

npm install corsair @corsair-dev/bigml

yarn add corsair @corsair-dev/bigml

pnpm install corsair @corsair-dev/bigml

bun add corsair @corsair-dev/bigml

Add the plugin

corsair.ts

import Database from 'better-sqlite3';
import { createCorsair } from 'corsair';
import { bigml } from '@corsair-dev/bigml';

export const corsair = createCorsair({
	plugins: [
		bigml(),
	],
	database: new Database('corsair.db'),
	kek: process.env.CORSAIR_KEK!,
	hub: {
		projectApiKey: process.env.CORSAIR_DEV_API_KEY!,
		signingSecret: process.env.CORSAIR_DEV_SIGNING_SECRET!,
	},
});

Multi-tenancy is the default — scope calls with corsair.withTenant(id). See Quick start for KEK + Hub keys, and Multi-tenancy for account isolation.

Choose authentication

API Key (Recommended)

No setup required yet. When you make your first request as a tenant, Corsair prompts for the API key.

bigml()

More: API Key

Connect a tenant

Mint a connect link and send the tenant to it. Hub hosts the page and delivers the result to your app — see Connect / OAuth.

const { connectUrl } = await corsair.manage.connect.createLink({
	plugin: 'bigml',
	tenantId: 'acme',
});
// redirect the user's browser to connectUrl

Example API calls

anomalies.list

const tenant = corsair.withTenant('acme');
await tenant.bigml.api.anomalies.list({});

externalConnectors.create

const tenant = corsair.withTenant('acme');
await tenant.bigml.api.externalConnectors.create({});

See the full list on the API page.

Query synced data

Synced entities support tenant.bigml.db.<entity>.search() and .list(): anomalies, anomalyScores, associations, associationSets, batchAnomalyScores, batchCentroids, batchPredictions, batchProjections, batchTopicDistributions, centroids, clusters, composites, configurations, correlations, datasets, deepnets, ensembles, evaluations, executions, forecasts, fusions, libraries, linearRegressions, logisticRegressions, models, optimls, pcas, predictions, projections, projects, samples, scripts, sources, statisticalTests, timeSeries, topicDistributions, topicModels. See Database for filters and operators.

What’s next

API reference

Every bigml.api.* operation with input and output types.

Database

Synced entities, search filters, and operators.

Connect / OAuth

createLink, Hub delivery, and tenant connect flows.

Use with agents

Expose this plugin’s operations as MCP tools.

​Setup

​Example API calls

​Query synced data

​What’s next