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Returns the full LLM API Bootcamp agent pack (playbook, modules, and templates) from the Materials Factory catalog under pack ID mf-train-001
Returns a structured agent playbook template for handling vendor issues, including scripts, escalation steps, and communication templates.
Returns a structured agent playbook for managing client contact information updates and account transfer workflows in a materials or contracting business context.
Returns a structured agent playbook for qualifying leads during meetings or phone calls, including scripts, decision logic, and communication templates.
Returns a structured rubric for evaluating and communicating scope creep situations and setting clear 'say no' boundaries with clients in trade or contracting contexts
Returns a structured playbook/template pack for running a weekly 15-minute operations review, designed for AI agent automation.
Fetches a pre-built agent playbook for requesting photo usage permissions from portfolio subjects or clients after a shoot.
Returns a structured agent playbook for gating, drafting, and delivering quotes or estimates to clients in a materials or construction context.
Returns a structured decision rubric to help evaluate whether a given task or process should be automated
Returns a structured playbook (templates, scripts, and workflow modules) for managing pickup and will-call order handoff communications in a service or materials business.
Returns a structured playbook/template pack for closing out and archiving completed jobs in an AI agent workflow
Returns a pre-built agent playbook for managing finished goods storage hold workflows in a materials/manufacturing context.
Returns a structured playbook of templates and instructions for AI agents handling rush or urgent client communications in a vending or print/materials business context.
Retrieves a structured agent playbook for communicating client status updates in a professional workflow context
Returns a structured client intake playbook template pack for AI agents to guide new client onboarding workflows
Generates a tailored cover letter using AI based on a job description or query input
Retrieves the transaction history for a given blockchain address across supported chains
Parses a cron expression string and returns its schedule components, next run times, and human-readable description
Generates AI-written captions for Instagram posts based on a user-provided query or description
Analyzes and generates a natural language description of an image provided via URL or query input
Converts a monetary amount from one currency to another using live foreign exchange rates
Decodes a QR code image or data and returns the embedded content/payload
Converts a length value from one unit of measurement to another (e.g. miles to kilometers, inches to centimeters).
Transcribes audio input into text using an AI-powered speech-to-text service, paid per call via USDC over the x402 protocol
Generates a regular expression pattern based on a natural language description or example input query
Extracts named entities (people, organizations, locations, dates, etc.) from input text using AI-powered NER
Decodes a JWT (JSON Web Token) to extract its header, payload, and claims without verification
Encodes a string or binary input into Base64 format
Generates a YouTube video script based on a given topic or search query
Routes a natural language or structured AI task to 247+ LLMs and media-generation models via a single OpenAI-compatible endpoint, paid per call in USDC
Converts text to speech audio using AI voice generation, payable per call in USDC with no API key required
Routes a single pay-per-call POST request to 247 LLMs plus image, video, voice, music generation, live crypto/DeFi data, web search, and on-chain reads — no API key required, paid in USDC via x402.
Generates video content via a pay-per-call gateway using a path argument to specify the video generation task, paid in USDC on Base or Solana.
Routes a single POST call to 247+ LLMs, image/video/voice/music generation, live crypto/DeFi data, web search, and on-chain reads via one OpenAI-compatible endpoint, paid per call in USDC.
Generates AI music audio via a pay-per-call OpenAI-compatible endpoint using USDC on Base or Solana, no API key required
Looks up live cryptocurrency data by symbol or identifier via the Omnicall gateway, paid per call in USDC with no API key required.
Performs a live web search via Omnicall's all-in-one agent gateway, returning real-time results with no API key required, paid per call in USDC.
Generates images by routing requests to frontier image models via an OpenAI-compatible gateway, paid per call in USDC with no API key required
Generates a comprehensive research report for a given crypto wallet address using the x402 pay-per-request protocol
Generates uncensored code via a pay-per-request AI endpoint using the x402 micropayment protocol
Fetches current cryptocurrency price data via a pay-per-request x402 micropayment endpoint
Pay-per-request uncensored AI reasoning endpoint using the x402 micropayment protocol, providing unrestricted chain-of-thought inference at $0.08 USDC per call
Scans a specific on-chain transaction on a given blockchain for MEV (Maximal Extractable Value) activity and protection status
Returns whale wallet movement data and large transaction signals for a specified blockchain network
Returns on-chain alpha signals, whale tracking data, rug scan results, and MEV protection insights for a specified blockchain network
Returns practical, step-by-step guidance for individuals, businesses, and developers on how to enter and participate in the onchain economy.
Returns scored liquidation-risk signals for Morpho protocol positions, paid per-call via x402 micropayment.
Converts raw HTML content (e.g., scraped onchain/trading data pages) into clean Markdown text for downstream agent processing
Registers or validates an idempotency key with a TTL to ensure pay-per-call trading intelligence requests are not double-billed or duplicated.
Pops a queued task or result from a named queue, used as part of the async job pipeline for multichain on-chain and trading intelligence requests
Schedules a future HTTP callback (webhook) to a user-supplied URL at a specified ISO-8601 time, enabling time-delayed delivery of onchain and trading intelligence results without polling.
Schedules recurring cron-based callbacks to a user-supplied URL, enabling periodic automated polling of onchain and trading intelligence tools
Polls a named topic for new real-time onchain and trading intelligence messages using a secret token, returning messages with sequence numbers greater than a given value.
Extracts and returns real-time on-chain and trading intelligence (prices, liquidity, risk, perps, options, DeFi, Robinhood Chain tokenized stocks) from raw HTML input, billed at $0.003 USDC per call via x402.
Purchases 1 USDC worth of OneFaith tokens (contract 0xa568b156207d21bde44e031dCE9331C5f99C6b07) on behalf of the caller via an x402 payment-gated API call
Purchases $5 USDC worth of OneFaith (0xa568b156207d21bde44e031dCE9331C5f99C6b07) tokens on behalf of the caller via an x402 payment-gated API
Purchases 1 USDC worth of Onepiece (0x70015e8a07Db5184221ca86d11d00d95770E4b07) tokens on-chain via a paid API call
Purchases $5 USDC worth of Onepiece (ONE) tokens on-chain and delivers them to the caller's wallet
Parses raw CI log text to identify failing steps, error codes, and tools, then returns prioritized findings, severity scores, and a Markdown triage report with safe (non-executing) rerun commands.
Returns real-time revenue tracking data for a specific domain within the x402 micropayment ecosystem
Returns the buyer retention rate for a given domain within the x402 ecosystem
Returns a ranked leaderboard of top revenue-generating entities within the x402 payment ecosystem
Assesses the risk level of an EVM token contract address on a specified blockchain network
Fetches a specified number of news articles on a given topic via pay-per-call
Generates long-form written content from input text with a specified tone and style
Generates a styled content draft from input text using a specified tone and writing style
Generates structured LLM output in a specified format given a prompt and a JSON schema defining the desired response shape
Generates code in a specified programming language from a natural language text description using an LLM
Condenses a block of text into a shorter summary using an LLM via pay-per-call API
Generates a multi-day accommodation and travel itinerary based on destination, budget, interests, and trip duration
Distills and condenses a block of text into a shorter, summarized form
Compares accommodation options across providers for a given location, dates, and budget
Classifies or analyzes a given text according to a specified task using an LLM-powered endpoint
Generates code snippets or completions in a specified programming language from a natural language text prompt using an LLM.
Generates a content draft from input text with a specified tone and style
Finds nearby accommodation options of a specified type within a given radius of a location
Returns trend data for a specified topic within a given geographic region
Rewrites a given text in a specified tone and style using an AI language model
Finds nearby accommodation options (hotels, hostels, etc.) given a location, accommodation type, and search radius
Distills and condenses a block of text into a shorter, more digestible summary or key points
Returns trend data for a given topic and region
Verifies factual claims in a query string and returns a fact-check result
Send a conversational message array to an LLM and receive a chat completion response, billed per-call via x402 micropayments.
Finds nearby accommodation options given a location, accommodation type, and search radius
Executes a multi-step LLM pipeline by chaining AI processing steps against an initial text input
Translates text from one language to another using an AI/LLM-powered translation engine via pay-per-call API
Processes multiple LLM prompts in a single batch request using a shared system prompt via the Orbonomy unified API platform
Rewrites input text in a specified tone and style using an LLM
Summarizes a block of text into a concise form using an AI language model, returning the result for $0.05 USDC per call via x402.
Returns a multi-day weather forecast for a given geographic coordinate using latitude, longitude, and number of days.
Sends a text prompt to an LLM reasoning engine and returns an AI-generated response via pay-per-call x402 protocol
Finds nearby accommodation options based on location, type, and radius
Distills and condenses a block of text into a shorter, more concise form
Generates a toned digest or summary of a given text, adapting the output style to a specified tone
Sends a sequence of messages to an LLM and receives a chat completion response, billed per call via x402 micropayments.
Returns a fact-check summary for a given topic in a specified language
Returns financial data for a given stock or asset symbol via pay-per-call API
Finds accommodation options near a specified location within a given radius and of a given type
Returns a multi-day weather forecast for a given geographic coordinate (latitude/longitude) using a pay-per-call model.
Searches for available accommodation options by location, dates, guest count, and budget