Ai Inference

Accepts JSON input and analyzes the sentiment expressed about entities within the provided text using Google as the prov

AI-generated executive summary of current market trends, top narratives, and notable momentum shifts.

Pick the right LLM for any goal — coding, writing, cost sensitivity, long documents.

Analyze and process with Product Review Sentiment API — structured JSON output.

Guide to Retrieval Augmented Generation: embed, retrieve, augment, generate pipeline.

OpenAI's latest flagship model — top-tier reasoning, coding, and multimodal capabilities

Text embeddings via OpenAI text-embedding-3-small and Google text-embedding-004

x402-paid model gateway for agent-discoverable LLM inference

Llama 3.3 70B, DeepSeek-V3, Qwen 2.5 72B — powered by Hugging Face & SambaNova

Agent sends params -> gets complete fake user profile

Agent sends image URL + dimensions -> gets resized image

Detailed word count including unique words density and frequency

Agent sends complex concept + audience level -> gets plain explanation

Analyze and score with Ai Output Format Enforcer API — structured JSON output.

Optimizes AI workloads across cost, quality, and latency objectives with per-workload model recommendations.

Plan AI token budgets from usage parameters. Returns cost per call, daily cost, monthly projection and max users for bud

Score prompts for chain-of-thought quality — step-by-step, show work, verification, answer format.

Check AI-generated text for hallucinations, PII, toxicity, bias and prompt injection in one call.

Simplify legal clauses, explain terms of service and translate legalese to plain English — built for AI agents

Score hallucination risk in AI responses from statistical claims and citation patterns.