social-media-engagement-boost

gpt-6-sol-long: OpenAI GPT 6 Sol (>272K input tokens) chat completions, USDC per 1M tokens in / out: Flex (default; slower, may answer 429 or 503) 2.0 / 7.5, Standard (service_tier default) 4.0 / 15.0, Fast (service_tier fast; lowest latency) 8.0 / 30.0, plus 0.0025 per call on Base or 0.002 on Solana. Reasoning levels: none, low, medium, high, xhigh (send model gpt-6-sol-long:<level> or reasoning_effort). Quote charges input plus 10% of max_tokens as output (the model may use all of it); reasoning tokens count as output and come first, so send max_tokens >= 128 for short answers. Empty answers are free. For prompts above 272000 input tokens; shorter prompts are cheaper on gpt-6-sol. Sheet: https://openai.mm.family/x402/pricing

gpt-image-2.5-flare: OpenAI GPT Image 2.5 Flare image generation, paid per call in USDC. OpenAI list $30 per 1M image tokens (1024x1024: low 196, medium 439, high 1756 tokens), text in $5 per 1M, plus $0.0005 (Base) or $0.0005 (Solana) per call. Send size and quality (auto is refused); omitted means 1024x1024 medium. Returns b64_json. Rates: https://openai.mm.family/x402/pricing

gpt-4o-mini: OpenAI GPT 4o Mini chat completions, USDC per 1M tokens in / out: Standard (default) 0.15 / 0.6, Fast (service_tier fast; lowest latency) 0.25 / 1.0, plus 0.0025 per call on Base or 0.002 on Solana. No reasoning levels. Quote charges input plus 10% of max_tokens as output (the model may use all of it); reasoning tokens count as output and come first, so send max_tokens >= 128 for short answers. Empty answers are free. Sheet: https://openai.mm.family/x402/pricing

gpt-5.6-luna: OpenAI GPT 5.6 Luna (<=272K input tokens) chat completions, USDC per 1M tokens in / out: Flex (default; slower, may answer 429 or 503) 0.1 / 0.6, Standard (service_tier default) 0.2 / 1.2, Fast (service_tier fast; lowest latency) 0.4 / 2.4, plus 0.0025 per call on Base or 0.002 on Solana. Reasoning levels: none, low, medium, high, xhigh (send model gpt-5.6-luna:<level> or reasoning_effort). Quote charges input plus 10% of max_tokens as output (the model may use all of it); reasoning tokens count as output and come first, so send max_tokens >= 128 for short answers. Empty answers are free. Prompts above 272000 input tokens are quoted at the gpt-5.6-luna-long rates. Sheet: https://openai.mm.family/x402/pricing

gpt-6-luna: OpenAI GPT 6 Luna (<=272K input tokens) chat completions, USDC per 1M tokens in / out: Flex (default; slower, may answer 429 or 503) 0.05 / 0.25, Standard (service_tier default) 0.1 / 0.5, Fast (service_tier fast; lowest latency) 0.2 / 1.0, plus 0.0025 per call on Base or 0.002 on Solana. Reasoning levels: none, low, medium, high, xhigh (send model gpt-6-luna:<level> or reasoning_effort). Quote charges input plus 10% of max_tokens as output (the model may use all of it); reasoning tokens count as output and come first, so send max_tokens >= 128 for short answers. Empty answers are free. Prompts above 272000 input tokens are quoted at the gpt-6-luna-long rates. Sheet: https://openai.mm.family/x402/pricing

gpt-6-astra: OpenAI GPT 6 Astra (<=272K input tokens) chat completions, USDC per 1M tokens in / out: Flex (default; slower, may answer 429 or 503) 5.0 / 25.0, Standard (service_tier default) 10.0 / 50.0, Fast (service_tier fast; lowest latency) 20.0 / 100.0, plus 0.0025 per call on Base or 0.002 on Solana. Reasoning levels: low, medium, high, xhigh (send model gpt-6-astra:<level> or reasoning_effort). Quote charges input plus 10% of max_tokens as output (the model may use all of it); reasoning tokens count as output and come first, so send max_tokens >= 128 for short answers. Empty answers are free. Prompts above 272000 input tokens are quoted at the gpt-6-astra-long rates. Sheet: https://openai.mm.family/x402/pricing

gpt-6-sol: OpenAI GPT 6 Sol (<=272K input tokens) chat completions, USDC per 1M tokens in / out: Flex (default; slower, may answer 429 or 503) 1.0 / 5.0, Standard (service_tier default) 2.0 / 10.0, Fast (service_tier fast; lowest latency) 4.0 / 20.0, plus 0.0025 per call on Base or 0.002 on Solana. Reasoning levels: none, low, medium, high, xhigh (send model gpt-6-sol:<level> or reasoning_effort). Quote charges input plus 10% of max_tokens as output (the model may use all of it); reasoning tokens count as output and come first, so send max_tokens >= 128 for short answers. Empty answers are free. Prompts above 272000 input tokens are quoted at the gpt-6-sol-long rates. Sheet: https://openai.mm.family/x402/pricing

o3-mini: OpenAI o3 Mini chat completions, USDC per 1M tokens in / out: Standard (default) 1.1 / 4.4, plus 0.0025 per call on Base or 0.002 on Solana. Reasoning levels: low, medium, high, xhigh (send model o3-mini:<level> or reasoning_effort). Quote charges input plus 10% of max_tokens as output (the model may use all of it); reasoning tokens count as output and come first, so send max_tokens >= 128 for short answers. Empty answers are free. Sheet: https://openai.mm.family/x402/pricing

OpenAI image generation (gpt-image-2.5, gpt-image-2, gpt-image-1.5, gpt-image-1, gpt-image-1-mini, chatgpt-image-latest), paid per call in USDC. OpenAI list rates per 1M image tokens (1024x1024 low = 196 tokens on gpt-image-2), plus $0.0005 (Base) or $0.0005 (Solana) per call. Send size and quality (auto is refused); omitted means 1024x1024 medium. Returns b64_json. One endpoint per model: /x402/v1/models/<key>/images/generations. Rates: https://openai.mm.family/x402/pricing

o4-mini: OpenAI o4 Mini chat completions, USDC per 1M tokens in / out: Flex (default; slower, may answer 429 or 503) 0.55 / 2.2, Standard (service_tier default) 1.1 / 4.4, Fast (service_tier fast; lowest latency) 2.0 / 8.0, plus 0.0025 per call on Base or 0.002 on Solana. Reasoning levels: low, medium, high, xhigh (send model o4-mini:<level> or reasoning_effort). Quote charges input plus 10% of max_tokens as output (the model may use all of it); reasoning tokens count as output and come first, so send max_tokens >= 128 for short answers. Empty answers are free. Sheet: https://openai.mm.family/x402/pricing

gpt-image-1: OpenAI GPT Image 1 image generation, paid per call in USDC. OpenAI list $40 per 1M image tokens (1024x1024: low 272, medium 1056, high 4160 tokens), text in $5 per 1M, plus $0.0005 (Base) or $0.0005 (Solana) per call. Send size and quality (auto is refused); omitted means 1024x1024 medium. Returns b64_json. Rates: https://openai.mm.family/x402/pricing

gpt-6-astra-long: OpenAI GPT 6 Astra (>272K input tokens) chat completions, USDC per 1M tokens in / out: Flex (default; slower, may answer 429 or 503) 10.0 / 37.5, Standard (service_tier default) 20.0 / 75.0, Fast (service_tier fast; lowest latency) 40.0 / 150.0, plus 0.0025 per call on Base or 0.002 on Solana. Reasoning levels: low, medium, high, xhigh (send model gpt-6-astra-long:<level> or reasoning_effort). Quote charges input plus 10% of max_tokens as output (the model may use all of it); reasoning tokens count as output and come first, so send max_tokens >= 128 for short answers. Empty answers are free. For prompts above 272000 input tokens; shorter prompts are cheaper on gpt-6-astra. Sheet: https://openai.mm.family/x402/pricing

Hand over malformed model output and a JSON Schema; get back JSON that provably satisfies it. Tries a pure-parse fast path FIRST and returns immediately when the input is already valid — you are not charged a model call for text that merely looked broken. Otherwise a small model repairs it and the result is validated in code before it is returned. Priced per call.

Give a query and up to 50 candidate snippets; get the top N by relevance with a score and a one-line reason. Indexes are returned so you can map straight back to your own objects without string matching. Priced per call. For high-volume use, buy prepaid credits (POST /x402/credits/buy) and send X-Animica-Credits on each request — no settlement, no gas, no per-call payment round trip. Paying in ANM on the animica:1 lane is also ~25% cheaper because we sponsor no gas there.

Give a goal and the actions available to you; get back the single best action, its arguments, a confidence and a reason. The chosen action is constrained by schema enum to your list, so it can never name a tool you do not have. Built for the decision an agent makes before spending a frontier-model call — including the honest answer that it should escalate. Priced per call.

Price a distributed model-training run before buying it. Send the dataset, the objective and the budget; get back a signed, expiring quote with the exact plan the budget buys: strategy, number of candidate models or federated rounds, worker redundancy, the verification regime, the acceptance threshold, the full USDC breakdown (worker pool / verification / protocol fee / refundable remainder) and an honest completion estimate based on the workers actually online.

Execute a published Animica Python Cloud function and pay for that one execution in USDC — no account, no API key, and nothing to deploy yourself. Each call runs the function in a network-isolated Docker sandbox with a wall-clock and memory cap, and returns its value, stdout, logs and duration. Functions can call the Animica miner network for LLM inference from inside the sandbox, so one paid call can do real model work: the example summarizer returns a model-written summary in about 4…

Pay in USDC and the Animica compute network trains a model for you. The request becomes a durable job: the planner turns your budget into a search (independent candidate models, or federated rounds over sharded data), the scheduler dispatches real training tasks to phones, browsers and desktops that advertised the capability and passed a reproducible benchmark, every returned update is verified (assignment binding, update norm, canary scoring, checkpoint trace, and a randomised deterministic…

Bulk is port 7 open: up to 20 hosts in one call, processed concurrently, results in input order with a per-item error field and a failure count. Same answer per item as the single endpoint. Batch enrichment for agents that hold a list. $0.10 per batch.

Buy bulk crawl access to one domain that publishes Paid Crawl terms. $1.000 buys $1.000 worth of that site's pages — the site sets the per-page rate, so the request budget is the pass value divided by that rate. ONE settlement covers the whole budget: per-page settlement is impossible at these prices because Base gas would exceed the fee. Send the returned token back as "X-Crawl-Pass: anmcp_...". Site operators pay nothing for Paid Crawl; crawlers do.

Buy a prepaid credit voucher in ONE on-chain settlement, then spend it across every paid product on this gateway with no further settlement and no gas. Send the returned token as "X-Animica-Credits: anmc_..." (or "Authorization: Bearer anmc_...") on any paid route and the call is served from the balance instead of a payment. Credit is granted at face value plus 10% — that bonus is the Base settlement gas we do not spend on your calls 2..N, returned to you.

Buy bulk crawl access to one domain that publishes Paid Crawl terms. $0.010 buys $0.010 worth of that site's pages — the site sets the per-page rate, so the request budget is the pass value divided by that rate. ONE settlement covers the whole budget: per-page settlement is impossible at these prices because Base gas would exceed the fee. Send the returned token back as "X-Crawl-Pass: anmcp_...". Site operators pay nothing for Paid Crawl; crawlers do.

Wallet balance on Base, Ethereum or Solana: give an address, get its ETH or SOL, USDC, USDT and any tokens you list, read live from the chain.

Crypto token price in USD: give a token address (or "SOL") on Base, Ethereum or Solana, get its live price from the deepest DEX pool, with the pool's liquidity.