API
Application Programming Interface; a standardized communication method for interaction between software systems. It defines request formats, authentication mechanisms, and response structures, enabling external applications to invoke capabilities provided by a service provider.
Core Facts
Relay API services are typically compatible with the OpenAI API format and only require modifying the Base URL and API Key to connect.
In low-code automation platforms such as n8n, each AI agent node typically corresponds to one independent large model API call.
Mainstream large model APIs charge separately for input tokens and output tokens, with input tokens typically including the entire conversation history (i.e., the context).
Timeline (last 90 days)
The OAuth scope granularity of many APIs is designed around the whole system (such as reading all mail) rather than around a specific task, forcing Agents to request overly broad permissions.
Developer selection decision rule: if the capability is ultimately called by code written by a human, using the API directly is more straightforward; if the model is to decide on its own when to call it, then it is worth wrapping another layer of MCP.
Users of APIs are mainly programmers, who need to read the documentation, understand the request format and the meaning of parameters, and then write code to call them.
Constrained decoding is an important underlying capability for building reliable Agents and API integrations, and can turn 'retry after an error' into 'it never goes wrong from the start'.
API automation means writing automated scripts against the APIs exposed externally by a system, directly bypassing the graphical interface to verify data flow and business logic.
Most APIs automatically append conversation template markers before and after the input, and these hidden costs are usually a few dozen tokens.
Any data that is to land in an API, a database, or existing software should continue to use JSON, and conversion should occur only at the boundary of interaction with the model.
The API workflow is hard-coded in advance by the developer in the code, determining which API to call, when to call it, and in what order, making it stable and predictable.
Task connectors act as a "middleman" between SaaS apps by calling each platform's API; when an event occurs in one app, the connector is notified and forwards the data to another app.
Luminous provides two integration paths through Connectors: a custom API and an MCP server.
40 more timeline events
All Facts (20)
Relay API services are typically compatible with the OpenAI API format and only require modifying the Base URL and API Key to connect.
80%VerifiedIn low-code automation platforms such as n8n, each AI agent node typically corresponds to one independent large model API call.
65%VerifiedMainstream large model APIs charge separately for input tokens and output tokens, with input tokens typically including the entire conversation history (i.e., the context).
65%VerifiedAPI stands for Application Programming Interface; it is essentially an entry point exposed by an application for operating on data, and can take the form of a function, a class, or a URL address.
65%VerifiedLarge language model API pricing is typically measured per million tokens, with output prices generally 4 to 6 times higher than input prices.
65%VerifiedToken-based billing is the mainstream pricing method for AI APIs, charging by the total number of input plus output tokens.
65%UnverifiedAPI接口契约或schema文档中未明确写出取值范围、ID格式约束等信息时，AI会用默认逻辑做实现导致bug
80%UnverifiedMCP路由器的路由逻辑比传统API网关更复杂，需要理解AI模型的意图语义来智能匹配最合适的MCP服务端点
75%Unverified平台通过开放API接口追踪内容与交易行为之间的归因链路，系统自动记录并结算佣金
70%Partially VerifiedCompared to the previous generation, Sol's input and output prices both dropped by half, while Luna's input price dropped by half and its output price dropped by approximately 58%.
65%UnverifiedSemantic Cache can reduce third-party large model API call costs by reusing historical answers for similar questions.
60%Unverified自动化发布系统通过RPA技术或平台开放API实现无人值守的持续输出，可将发布量从每日3-5条突破至数十条乃至更高
60%UnverifiedThe OAuth scope granularity of many APIs is designed around the whole system (such as reading all mail) rather than around a specific task, forcing Agents to request overly broad permissions.
50%UnverifiedUsers of APIs are mainly programmers, who need to read the documentation, understand the request format and the meaning of parameters, and then write code to call them.
50%UnverifiedDeveloper selection decision rule: if the capability is ultimately called by code written by a human, using the API directly is more straightforward; if the model is to decide on its own when to call it, then it is worth wrapping another layer of MCP.
50%UnverifiedConstrained decoding is an important underlying capability for building reliable Agents and API integrations, and can turn 'retry after an error' into 'it never goes wrong from the start'.
50%UnverifiedAPI automation means writing automated scripts against the APIs exposed externally by a system, directly bypassing the graphical interface to verify data flow and business logic.
50%UnverifiedMost APIs automatically append conversation template markers before and after the input, and these hidden costs are usually a few dozen tokens.
50%UnverifiedAny data that is to land in an API, a database, or existing software should continue to use JSON, and conversion should occur only at the boundary of interaction with the model.
50%UnverifiedThe API workflow is hard-coded in advance by the developer in the code, determining which API to call, when to call it, and in what order, making it stable and predictable.
50%