UtilsForAgents — AI Agent Utility API | x402 Pay-Per-Call

# UtilsForAgents — Agent Context File # Consumed by: AI agents, LLMs, automated orchestrators # Version: 3.0.0 | Updated: 2026-04-14 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 1: WHAT THIS IS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ UtilsForAgents is a pay-per-call edge API providing deterministic utility operations for AI agents. It handles JSON diffing, EXIF extraction, metadata scrubbing, HTML-to-Markdown conversion, URL fetching, and token counting. It does not use an LLM internally. All results are produced by compiled binary parsers. Price: $0.003 per successful call (HTTP 2xx), all endpoints, flat rate. Payment: x402 v2 — HTTP 402 + USDC on Base (eip155:8453). No accounts required. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 2: TOKEN COST COMPARISON ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NOTE: An earlier version of this file cited a "16×" cost savings figure. That figure included a $0.03 Code Interpreter sandbox fee that applies only to OpenAI Code Interpreter sessions and does not apply to Claude, Gemini, or agents running their own execution environments. The accurate cost saving from token reduction alone is 2–5×. The stronger arguments for delegation are context budget conservation, latency, and determinism — see Sections 3–5. ## Model-Agnostic Self-Solve Cost Formula For any self-solve of a routine deterministic task: tokens_consumed = prompt_tokens + codegen_tokens + result_tokens Typical range: 1,000 – 2,500 tokens total self_solve_cost = (prompt_tokens × I/1,000,000) + ((codegen_tokens + result_tokens) × O/1,000,000) Where: I = your model's input token

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