Every agent-payable API.

Firecrawl takes a URL, crawls it, and converts it into clean markdown or structured data. We crawl all accessible subpages and give you clean data for each. | Powered by Questflow

Access the official remote MCP server for Financial Datasets. | Powered by Questflow

A real‑time Ethereum (ETH) price monitoring board displaying current price, 24‑hour change, market cap, trading volume, and a 7‑day price chart. | Powered by Questflow

Real-time dashboard showing Bitcoin's key metrics—price, 24‑hour change, market cap, volume, circulating supply, and exchange activity—providing quick market insight. | Powered by Questflow

AI Investment Scout is a smart Swarm that helps you discover the best investment opportunities in the world of AI Agents and Virtuals Protocol projects. Powered by Virtuals Agent, this Swarm analyzes real-time data such as TVL, 24-hour volume, number of holders, FDV, and price trends to find projects with high growth potential. With AI Investment Scout, you can: Discover the latest and most promising AI projects Compare performance and key metrics between projects Get quick insights based on real data 🚀 Discover opportunities before anyone else — let AI work for you. | Powered by Questflow

Access consolidated token data through a single endpoint — combining market metrics, technical indicators, on-chain activity, and social sentiment. Designed for advanced token profiling, decision support, and agentic automation.

Access to arbitrage opportunities between Polymarket and Kalshi. Disclaimer: Opportunities are based on live market data and may expire if time passes. We do not guarantee opportunities, you are responsible for your own losses. Always confirm the math for arbitrage yourself. No warranties or liability.

Gloria is an AI-powered data platform that provides real-time, highly curated, customizable news data. Agent swarm assembling by Questflow. | Powered by Questflow

Provides real-time perpetual contract data for tokens on the Hyperliquid exchange. It returns live market prices, liquidity metrics, funding rates, and technical indicators to assist trading analysis.

Solana text-to-speech API paid via x402. Converts text input into a hosted audio URL. Dynamic pricing for TTS: the prepaid price is computed per request based on the input and charged upfront via x402. Estimated characters for this request: 11. Prepaid price for this request: 0.006600 USDC.

The official Alpha Vantage API MCP server enables LLMs and agentic workflows to seamlessly interact with real-time and historical stock market data. | Powered by Questflow

Batch retrieve mapping data for up to 50 addresses/Twitter handles.

Retrieve multi-interval technical analysis (TA) data for specified tokens using token IDs, addresses, or tickers. This endpoint returns key indicators such as support and resistance levels, RSI (Relative Strength Index), and SMA (Simple Moving Average) across various timeframes, enabling data-driven trading decisions and trend analysis.

Solana speech-to-text endpoint using x402 payments. Provide either a YouTube URL/ID or a direct audio file URL; the server downloads the audio, runs speech-to-text, and returns the transcript text. Pricing: 0.01 USDC per started minute of audio, computed from the estimated duration and charged upfront via x402. Default discovery price without a specific URL is 0.60 USDC as an upper-bound quote. For this video the estimated duration is 23 minute(s); prepaid price for this call is 0.230000 USDC.

An interactive timeline that showcases every iPhone model from 2007 to 2023, detailing key features, specifications, and the evolution of Apple's flagship smartphone line, providing users with a comprehensive data-driven view of its development. | Powered by Questflow

Check if an address or identity (Twitter, email, username) exists in database.

Query latest deployed tokens on-chain with liquidity pool data. (with AI analysis)

Request a recommended move for an American checkers position. POST JSON { "pdn": "<PDN position>", "depth": optional integer 1-12 (default 8) }. Response includes the best move in long notation and evaluation metadata.

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent M4BAZ396XPH8QAHE3X on Solana. Model gpt-5-mini, max_input_tokens=1000, max_output_tokens=1000. Preprompt preview (first 150 chars): "You are given a URL that points to an X (Twitter) profile image (PFP). Your task: - Convert the image URL to a 400x400 version. - Do this by replacin". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.003478 USDC. Estimated input tokens for pricing: 1195.

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent NZGVSXRC6HMKB8FWDA on Solana. Model gpt-5-mini, max_input_tokens=5000, max_output_tokens=5000. Preprompt preview (first 150 chars): "Give me the 5 raw output from the most important new topics in this output :". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.017011 USDC. Estimated input tokens for pricing: 5026.

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent AW5793DBAYAHSEHJTU on Solana. Model gpt-5-mini, max_input_tokens=5000, max_output_tokens=5300. Preprompt preview (first 150 chars): "Here is a prompt i received from a client, we going to forward it to next step but you need to add the info "create a rap" in before of the prompt, yo". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.017932 USDC. Estimated input tokens for pricing: 5079.

Solana coin price mini-endpoint for major tokens only. Returns spot prices and 24h stats for well-known tickers like btc, solana, eth, xmr, ltc and other large-cap coins, never microcaps. Pass an optional ticker to get a single-coin 24h snapshot with price, symbol, changeRate, changePrice, high and low, or omit ticker to receive a compact basket of top tokens in a fixed order. Cost: 0.001 USDC per request.

Token price history and chart data for technical analysis. Returns time-series price points. (with AI analysis)

Top gainers/losers analysis with volume, price change %, and market insights. (with AI analysis)

Access real-time and historical news feeds from the Gloria Data Platform | Powered by Questflow

Paid x402 endpoint for arbitrage opportunities between prediction-market platforms.

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent KR92MHBFNW9Z7MST4E on Solana. Model gpt-5-mini, max_input_tokens=5000, max_output_tokens=5000. Preprompt preview (first 150 chars): "You writing a prompt for a image generator to create a thumbnail of a audio news flash that is based on the topics i send you, please always just answ". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.017028 USDC. Estimated input tokens for pricing: 5068.

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent 6JAF5PYRGEC8X9XYFC on Solana. Model gpt-5-mini, max_input_tokens=5000, max_output_tokens=5000. Preprompt preview (first 150 chars): "Reply to me with the image url of the most important topic, make sure it's a image url, if most important topic haven't image url use a url from the n". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.017028 USDC. Estimated input tokens for pricing: 5069.

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent 32X5W88Z9PATZH85T5 on Solana. Model gpt-5-mini, max_input_tokens=1000, max_output_tokens=2000. Preprompt preview (first 150 chars): ".". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.006401 USDC. Estimated input tokens for pricing: 1001.

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent 6BNTBUF2DASXXWCAD2 on Solana. Model gpt-5-mini, max_input_tokens=5000, max_output_tokens=5000. Preprompt preview (first 150 chars): "You writing a voice over script for a audio newsflash, can you read these topics and create a script for a tts agent, make sure it sounds natural and ". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.017048 USDC. Estimated input tokens for pricing: 5119.

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent KCBWQQHUC8D4GQB5DT on Solana. Model gpt-5-mini, max_input_tokens=5000, max_output_tokens=5000. Preprompt preview (first 150 chars): "Read the response carefully. If the response already contains an image-generation prompt, reply with ONLY that prompt verbatim. If no prompt is pres". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.017118 USDC. Estimated input tokens for pricing: 5295.

A cyberpunk‑styled, responsive dashboard that showcases Atlassian AI control‑plane news. It blends journalism with artistic visualizations, using neon accents and dynamic graphics to deliver tech news in an engaging, data‑driven storytelling format. | Powered by Questflow

Financial Datasets | Powered by Questflow

Real-time dashboard for monitoring Hyperliquid trading agents, displaying positions, P&L, performance metrics, risk analysis, and activity logs with interactive charts, sortable tables, and live data refresh. | Powered by Questflow

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent 4TC64D7MFFRX5DNRZ9 on Solana. Model gpt-5-mini, max_input_tokens=5000, max_output_tokens=5000. Preprompt preview (first 150 chars): "Give me the 5 raw output from the most important new topics in this output also add the image link to every post :". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.017016 USDC. Estimated input tokens for pricing: 5038.

A comprehensive Ethereum dashboard displaying real-time price, market data, supply, historical charts, and exchange activity with responsive design and visualizations. | Powered by Questflow

Mainsafe — an agent-callable mainsafe service, payable over x402 (USDC on Base). Provided via pay.lnpay.ai. Priced around 0.1 USD per call.

Historical price data with configurable timeframes (1H/6H/1D/1W/1M/ALL)

Query all ERC-8004 registered agents on Base. Filter by capability, paginate with limit/offset. Returns structured agent list with on-chain data and parsed metadata.

Real-time dashboards displaying Bitcoin and Ethereum prices, market data, and trend charts, with automatic and manual refresh capabilities. | Powered by Questflow

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. This specific request uses model gpt-5-mini with max_output_tokens=700. Pricing mode: per-token. Prepaid price (x402) for this request: 0.002261 USDC. Estimated input tokens for pricing: 401.

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent J38T6ZGANCNB8SLZJZ on Solana. Model gpt-5-mini, max_input_tokens=5000, max_output_tokens=5000. Preprompt preview (first 150 chars): "can yes extract the atrifact url from this output, only reply with the image url nothing else". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.017013 USDC. Estimated input tokens for pricing: 5031.

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent T6G59ANZRFBKRHXTHG on Solana. Model gpt-5-mini, max_input_tokens=12500, max_output_tokens=7500. Preprompt preview (first 150 chars): "Give me the 5 raw output from the most important new topics in this output also add the image link to every post :". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.027516 USDC. Estimated input tokens for pricing: 12538.

Top tokens ranked by market cap with price, volume, and supply metrics. (with AI analysis)

A real-time Bitcoin price dashboard displaying current price, 24‑hour change, market cap, trading volume, and a 7‑day price chart, using green/red indicators and timestamped data updates. | Powered by Questflow

A clean, blue-themed block template designed for professional use. It offers a flexible foundation for adding content, text, or data, making it ideal for marketing materials, presentations, or website sections that require a simple yet polished visual element. | Powered by Questflow

A simple UI component that renders a red block containing the text 'This is a red block.' It serves as a basic visual element without any data processing, marketing, or investment context. | Powered by Questflow

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent HFNPTD5QQQAMHB6NCF on Solana. Model gpt-5.1, max_input_tokens=27000, max_output_tokens=12000. Preprompt preview (first 150 chars): "You are a professional content summarization agent. Your task is to produce a true summary of a spoken-content transcription (such as a podcast, vide". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.235294 USDC. Estimated input tokens for pricing: 27647.

Touch — an agent-callable touch service, payable over x402 (USDC on Base). Provided via Apify. Priced around 1 USD per call.

Smart money all data (net flow, holdings, historical holdings, dcas)