nexbid-dev
Nexbid provides an open-source infrastructure for agent commerce, enabling AI agents to discover and purchase products, recipes, services, and editorial content across a federated marketplace. Operated by digital opua GmbH in Switzerland, the platform processes data within the EU, complies with GDPR and nDSG, and offers both a Model Context Protocol (MCP) JSON-RPC endpoint and a REST discovery API. It supports standards such as OpenAPI, OpenRTB, and contributes to industry protocols through IAB Tech Lab and the Linux Foundation.
nexbid-dev publishes 3 API contracts indexed on the APIs.io network: Agent API, Attribution API, and Discovery API. Tagged areas include Company, AI, Commerce, Advertising, and Switzerland.
The nexbid-dev catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.
nexbid-dev’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 22 more developer resources.
Kin Score
APIs 3
Individual APIs this provider publishes, each with its own machine-readable definition.
nexbid-dev Agent API
LLM-facing HTTP surface.
nexbid-dev Attribution API
Click tracking and conversion attribution
nexbid-dev Discovery API
Well-known capability manifests.
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Agent Skills 4
Packaged agent skills for driving this provider's APIs from an AI assistant.
create-feed
AGENT SKILLdiscover-products
AGENT SKILLdiscovery
AGENT SKILLgenerate-click-url
AGENT SKILLPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Nexbid Dev Rate Limits
RATE LIMITSSemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Nexbid Dev Context
JSON-LDSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
nexbid-dev API Rules
SPECTRALJSON Schema 8
Standalone JSON Schema definitions for this provider's data models.
AgentSnippet
JSON SCHEMAClickRequest
JSON SCHEMAClickResponse
JSON SCHEMADiscoverRequest
JSON SCHEMADiscoverResponse
JSON SCHEMAFeedCreateRequest
JSON SCHEMAFeedCreateResponse
JSON SCHEMAMatchResponse
JSON SCHEMAScroll for all 8
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 3
Properties that don't map to a standard resource type
Source (apis.yml)
nexbid-dev API — frequently asked questions
Does nexbid-dev have an API?
Yes. APIs.io lists 3 APIs from nexbid-dev, including nexbid-dev Agent API, nexbid-dev Attribution API and nexbid-dev Discovery API.
Is there an OpenAPI specification for the nexbid-dev API?
Yes. APIs.io indexes 3 OpenAPI specifications for nexbid-dev, each linked for download from this page.
How do I authenticate with the nexbid-dev API?
nexbid-dev documents its authentication (1 scheme). The details are profiled on APIs.io as Nexbid Dev Authentication.
How much does the nexbid-dev API cost?
APIs.io lists 3 pricing plans for nexbid-dev, with each plan's price, limits and inclusions under Pricing Plans on this page.
Does nexbid-dev have an MCP server?
Yes. APIs.io lists 1 MCP server for nexbid-dev: Remote MCP server at mcp.nexbid.dev requiring an API key.
Is the nexbid-dev API ready for AI agents?
nexbid-dev has a Kin Score of 50.6 out of 100 (developing) and an Agent Readiness score of 38.9 (agent-ready), scored by API Evangelist on 2026-10-31.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.