Results for “db-api”

Guides through client library installation and authentication setup for the Data Manager API, including ADC configuration and required scopes.

CNB 平台交互命令，支持代码仓库、Issue、PR、CI、制品库读写等操作。

Integrates with the Brek Partner Core Chat API to build hotel-search and booking assistant flows.

Clerk Backend REST API explorer and executor. Browse tags, inspect endpoint schemas, and execute authenticated requests. Use when listing users, managing organizations, or calling any Clerk API endpoint.

Queries the Metabolomics Workbench REST API to retrieve metabolite, study, and RefMet data in JSON or text formats.

Query the Clever Data API to retrieve information about contacts, districts, schools, sections, students, and teachers across 44 read-only endpoints.

Shopify Admin API skill. Use when working with Shopify Admin for admin, fetch_tracking_numbers, fetch_stock. Covers 1473 endpoints.

Scrapes public web data from LinkedIn, Twitter, GitHub, YouTube, and other sources, sends and reads email, performs deep research, generates images, and searches the web through the DeepAPI service.

NBA Stats API skill. Use when working with NBA Stats for playerdashptshots, leagueleaders, playerdashptreb. Covers 91 endpoints.

bunq API skill. Use when working with bunq for user, attachment-public, avatar. Covers 480 endpoints.

Account API skill. Use when working with Account for custom_policy, fulfillment_policy, payment_policy. Covers 36 endpoints.

Reference for Benchling REST API v2 endpoints, covering authentication, pagination, error handling, and CRUD operations for sequences, entities, containers, and notebook entries.

Billbee API skill. Use when working with Billbee for api. Covers 87 endpoints.

Deploy and manage Cloudflare Workers for Platforms, including dispatch namespaces, static assets, and outbound worker configuration.

Botify API skill. Use when working with Botify for analyses, projects. Covers 26 endpoints.

Manage Cloudflare Tunnels via API and TypeScript SDK, including creation, configuration, DNS routes, and token-based deployment.

Design REST and GraphQL APIs with OpenAPI 3.1 specifications, resource modeling, versioning strategies, pagination patterns, and error handling standards.

Build, modify, and ship Grafana dashboards as JSON via the HTTP API — panel types (timeseries / stat / gauge / table / heatmap / logs / traces / node-graph), `gridPos` 24-column layout, units, thresholds, template + datasource + chained variables, transformations (`organize` / `calculateField` / `filterByValue`), panel + dashboard links with `${__field.labels.x}` / `${__from}`, and Loki/Prometheus annotations. Use when scripting dashboard creation, writing the dashboard JSON for a new service, adding a `$job` dropdown variable, computing an "Error %" column with a transformation, overlaying deploys as annotations, or pushing a dashboard via `POST /api/dashboards/db` — even when the user says "create a dashboard for this metric", "add a service dropdown", "show errors as percentage", "overlay our deploys", or "export the dashboard JSON" without naming the API or schema. After every API push, verify with the returned `version` plus a GET on the dashboard UID.

Query the STRING API for protein-protein interactions (59M proteins, 20B interactions across 5000+ species), building interaction networks, discovering functional partners, and running GO/KEGG/Pfam enrichment on protein lists. Use when constructing a protein-protein interaction network, expanding from seed proteins to functional partners, or running PPI-based enrichment for systems biology; for curated metabolic pathway maps and reactions prefer alterlab-kegg, and for protein sequences, annotations, or accession ID mapping prefer alterlab-uniprot instead. Part of the AlterLab Academic Skills suite.

Provide direct REST API access to KEGG (academic use only) for pathway analysis, gene-to-pathway and compound-to-pathway mapping, metabolic reactions, KEGG Orthology (KO), drug-drug interactions, and ID conversion. Use when querying KEGG pathways, mapping genes/compounds to metabolic maps, or running KEGG pathway enrichment via raw HTTP/REST; for protein-protein interaction networks prefer alterlab-string-db, for protein sequences and annotations prefer alterlab-uniprot, and for Python workflows spanning many databases prefer bioservices instead. Part of the AlterLab Academic Skills suite.