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Transformer

Tag

6 integrations tagged with "transformer"

Workflow
Convert to Smallest Unit (Wei)
Action

Convert to Smallest Unit (Wei)

Convert a human-readable decimal amount (e.g. '3.75') to its smallest-unit integer representation (e.g. '3750000' for USDC with 6 decimals). Uses string math — no floating-point errors. Works for any ERC-20 token.

4 workflows
103 runs
100% success
utilitytransformerwei+3
Type:convert-to-wei
Fields:2 (2 required)
List Min
Action

List Min

Find the minimum numeric value in a list. Accepts an array of numbers or numeric strings and returns the smallest value along with its index. Useful for finding lowest prices, smallest balances, cheapest options, etc.

35 runs
100% success
utilitytransformerlist+4
Type:list-min
Fields:1 (1 required)
Convert from Smallest Unit (Wei)
Action

Convert from Smallest Unit (Wei)

Convert a smallest-unit integer (e.g. '3750000') back to a human-readable decimal string (e.g. '3.75' for USDC with 6 decimals). Uses string math — no floating-point errors. Works for any ERC-20 token.

utilitytransformerwei+3
Type:convert-from-wei
Fields:2 (2 required)
Parse Google Sheets URL
Action

Parse Google Sheets URL

Extract the spreadsheet ID and worksheet ID (gid) from a Google Sheets URL.

utilitytransformerparsing+1
Type:parse-google-sheets-url
Fields:1 (1 required)
List Max
Action

List Max

Find the maximum numeric value in a list. Accepts an array of numbers or numeric strings and returns the largest value along with its index. Useful for finding highest prices, largest balances, top values, etc.

utilitytransformerlist+4
Type:list-max
Fields:1 (1 required)
Chat with NanoChat LLM (d32 Model)
Action

Chat with NanoChat LLM (d32 Model)

Stream real-time responses from NanoChat, a 32-layer transformer language model built by Andrej Karpathy in 2025. Access this lightweight LLM via the NanoBrain platform for conversational AI tasks with streaming token-by-token output. | Input: Accepts an empty request body (no parameters required) to initiate a chat session | Output: Returns streaming server-sent events (SSE) with token-by-token text generation from the NanoChat d32 model, including model identification and completion markers | Use cases: I want to chat with a lightweight language model for quick responses; Get streaming AI responses for conversational tasks; I need to integrate a compact LLM into my application; Generate text responses using the NanoChat d32 model | Cost: 0.01 USDC on base

x402payment-gatedai+7
Type:x402ep_d5s9k9smd1grabgljr70
Fields:1 (1 required)
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