Paid services matching “model”

Routes requests across open-weight models using task fit, tool calling, vision, JSON format, context, output capacity, provider availability, and price. Send POST application/json with model set to ai-open-models/auto and a non-empty messages array. task_type is optional; when omitted, Auto classifies the request. Supports function tools, JSON responses, and mixed text/image messages using public

Linkrra Synap: Google Gemma 4 26B A4B Instruct (model "gemma-4-26b-a4b-it") - fast general model, long context. OpenAI-compatible chat completions for this one model, 128K context, served only on dedicated GPUs we operate, 4-bit AWQ. Pay per call in USDC on Base via x402 - no account, no API key. From $0.001 per call, usage-priced per token above that (GET /v1/models). Streaming supported. Product

Cheapest LLM meeting your constraints (price/context/modality) PLUS every price change and deprecation in the window. Providers publish only today's catalog and overwrite it — the change history exists nowhere else

OpenAI-compatible chat completions across many open models, paid per call in USDC with no API key. POST { model, messages, max_tokens? } and pick model from GET /v1/models (fast, smart, code, reasoning and 70B tiers, among others). The price is set from the model's rates and your request size, so short prompts on small models cost the least; the 402 shows the exact amount before you pay. Hero: GET

Live directional read from a real-money Kalshi ETH hourly (KXETHD) trading model (same volatility model as the BTC signal): current near-the-money strike, model probability vs market price, and computed edge. Informational model output, not investment advice — the strategy's real historical win rate / P&L is public at the bot's dashboard, good and bad stretches included.

GlianaAI - pay-per-call AI: LLM chat (OpenAI-compatible), image, video, music, speech - 100+ models, no signup, USDC. This resource: LLM chat — pass any catalog model id in the body (default minimax-m3). Priced PER REQUEST from the model and input you send, from $0.002000; send the body to read its exact price off the 402. https://ai.glianalabs.com

Put one question to a panel of 3 different AI models and get a single verdict back. Each model answers independently, then a chair synthesizes: verdict, confidence, the points they all agreed on, the dissent, and what would flip the answer. Use it for judgement calls where one model's opinion is not enough: is this safe, is this worth it, which option. No account, no API key, one USDC micropayment

OpenAI-compatible chat completion on 71 models: name one in `model` (llama-3.1-8b-instruct, l3-8b-lunaris-v1, mistral-small-24b-instruct-2501, gemma-3-4b-it, qwen2.5-7b-instruct, gpt-oss-20b, phi-4, gemma-3-12b-it, qwen3.5-9b, gemma-3-27b-it, gpt-oss-120b and 59 more) and the 402 prices that model per request; served by DeepInfra, Venice AI, NEAR AI Cloud and Taifoon's own GPU (nvidia/NVIDIA-Nemot

LLM chat completions API, OpenAI-compatible: one endpoint for 100+ models (Claude, GPT, Gemini, Grok, DeepSeek, Qwen), no API key or account, pay per call in USDC. Call it when an agent needs an LLM answer, a second opinion, or a model it has no key for. SingIt Ask; models at GET /v1/models.

For model cascades: is the small model's answer usable, or should the larger model be paid? Detects refusal, evasion, off-topic answers, contradiction and incompleteness; decides accept, review or escalate. Does not fact-check without a source: provide the source to check substance.

Generates one to four images from a text prompt with the chosen model, and returns the asset with the output URLs in results. AutoI picks a model automatically. Credits depend on the model tier and the quantity.

OpenAI-compatible chat completions for hundreds of open and closed models (DeepSeek, Kimi, GLM, Qwen, Llama, Claude, GPT, Gemini) through one endpoint, each call routed to the cheapest healthy provider for that model. Pay per call in USDC on Base with no API key or account: the 402 quotes this prompt plus max_tokens (up to 4,096). Streaming and tool calls supported. Model ids and prices: https://a

Generate YouTube thumbnails with AI image models (GPT Image, Nano Banana, FLUX, Seedream, Ideogram, Grok) side by side. Optional query: models (comma-separated ids from https://thumbnailcreator.ai/llms.txt), n (1-4 per model), format (16:9, 1:1, 9:16, 4:5). Body: {"prompt": "3-2000 characters"}. Charged only when every image succeeds.

Generates one to four images from a text prompt with the chosen model, and returns the asset with the output URLs in results. AutoI picks a model automatically. Credits depend on the model tier and the quantity.

Anthropic Messages compatible completions across the Venice AI model catalog. Pay per request in USDC on Base via x402, with no account and no API key. Overpayment is never lost: it banks as reusable wallet credit for your next call. Model ids and live prices: GET https://api.gondola-ai.com/v1/models.

Generate a video from a text prompt, or animate an image_url from its first frame. The paid response waits about as long as the model usually takes to render and returns the video URL, else a statusUrl to poll (Prefer: wait=N sets the wait). 8 models including Google Veo 3.1, Kling 3.0, Seedance 2.5, Wan 2.7 and MiniMax Hailuo 3, 4 to 15 seconds, 16:9 or 9:16, from $0.42. GET this URL for every mo

Get one current weather snapshot for a city/locality name or exact coordinates. Returns the nearest NOAA/NWS station observation where available; otherwise returns the latest MET Norway model point, always labeled explicitly as observation or model with bounded SI fields and source provenance.

Text-to-image generation on Venice models (Flux, SD3.5, GPT-Image, HunyuanImage, and more), paid per request in USDC on Base via x402, no API key. Charge is catalog unit × variants (1–4). A bare unpaid probe (no model) quotes default venice-sd35 (from $0.01; flux-2-pro $0.015). S

Notarize AI output: a signed Ed25519 attestation of the model response plus sha256 content hash, receipt token, and Merkle anchor status for one AI inference — a cryptographic receipt for inference that lets you prove an AI said X and verify model output authenticity, checkable free by anyone, anytime.

AI model list prices (USD per 1M input/output/cached tokens, context window, vision/tools/reasoning flags) for ~3,000 models across OpenAI, Anthropic, Google, Mistral, Groq, Bedrock, Azure, Together, Fireworks and more, plus verified free tiers/rate limits of AI APIs. Filters: q, provider, free=yes, max_input_per_m, min_context, vision=yes, tools=yes, sort=input|output|context, limit<=100.

Decode a VIN into make, model, model year and vehicle attributes using NHTSA vPIC. Use when an agent has a VIN and needs structured vehicle information. Call GET ?vin= or POST JSON {"vin"}; full or partial VINs, decode errors preserved. No owner lookup.

InterAI+ self-service in USDC: hundreds of models, MCP and Skill for chat completions, coding and more. Pick a model from the catalog or let the service pick one for you. Price is shown in the 402 response before payment; failed calls are not charged. Free: GET /v1/catalog, GET /v1/quote, GET /v1/coming, GET /v1/autonomous-agents. Register interest ahead of time with POST /v1/register-interest. Co

Single models are everywhere. This is the disagreement between them: per hour a median with a p15/p85 band, the full min/max spread, how many models still carry that hour, an agreement score, rain probability derived from pooled ensemble members rather than one deterministic run, a frost assessment, and the official DWD warnings in force for the point.

Decode a 17-character VIN: ISO 3779 structural validation (check digit), WMI manufacturer lookup, model year, and NHTSA vPIC pattern decode (make, model, trim, body, engine, plant). Public-domain NHTSA data.

One answer from a text model, for one question. The free floor does not run a model and does not return this answer.

Verified inference (Prova). OpenAI-compatible chat completions run inside a TEE (NVIDIA + Intel), hardware-attested, and anchored on Solana — every response returns an on-chain proof + Solscan link. Select a model via the body `model` field; price varies by tier (standard/premium/flagship).

Search normalized vehicle variants by brand, model, model year, powertrain, market, or free text.

Statically analyse a Model Context Protocol (MCP) server manifest for security risks. Tool descriptions enter the model context, a prime prompt-injection vector. Deterministic and offline (inline manifest). Flags dangerous capabilities (command/code execution, filesystem, credential and network access), injection patterns, hidden unicode and unconstrained parameters. Returns severity-ranked findin

Ranks models cheapest first by blended USD per 1M tokens (inputShare weights input vs output). Filter by provider, mode, minContextTokens, input/output modality, function calling, vision and price caps. Skips sample_spec and models past their deprecation date.

Count the LLM tokens in text for a given model or encoding — exact for OpenAI and open models (Llama, Mistral, Qwen, Gemma, DeepSeek, Command-R); labelled-approximate for Claude & Gemini.