Building an AI agent or a financial intelligence product means giving a model a way to look at real markets. The tempting shortcut is to wrap five different data providers as five different tools, but that bloats the tool surface, confuses the model about which one to call, and makes latency unpredictable. A single, consistent tool is almost always the better design, and it is the one SiftingIO is shaped for.
The problem
Function-calling agents need a small, predictable tool surface for market data, not five per-source wrappers each with different parameter names. Latency budgets are tight, and tool calls that miss caches kill the loop.
How SiftingIO handles it
A unified JSON schema and a single bearer token mean one tool definition handles every asset class. Pro tier rate limits are sufficient for high-throughput agent workloads, and Enterprise unlocks dedicated capacity for low-latency tool calling at scale. A remote MCP server exposes the data plane as tools directly.
One tool definition for every market
Because every asset class shares one schema and one bearer token, a single function definition covers crypto, forex, stocks, commodities, and more. The model learns one tool with one set of parameters instead of juggling per-provider quirks, which makes its calls more reliable and keeps your system prompt shorter and cheaper to run.
A schema stable enough to prompt against
Prompt examples and tool schemas are brittle when the underlying API renames fields out from under them. Endpoints here are versioned and additive only, so the examples you bake into a system prompt stay valid. You are not silently re-testing the agent every time the data layer ships a change.
Snapshots for tool calls, streams for context
An agent in a tool-calling loop wants fast, discrete reads; a copilot watching a market wants a running view. REST snapshots serve the first and the WebSocket stream serves the second, and a remote MCP server exposes the whole data plane as tools, so an MCP-capable agent can call market data without you building the tool layer at all.