Paid services on Base matching “inference”

Featured model. Chat completions via Telnyx Inference (zai-org/GLM-5.3-Flash), run at low reasoning effort for direct answers. max_tokens must be 512–2048 (omit it for the 1024-token default). OpenAI-compatible. $0.005783 USDC per call, or pay per-token via the upto scheme.

OpenAI-compatible LLM inference and chat completions via discounted Venice API credits. Pay USDC to receive a live Venice.ai API key for /api/v1 models, chat, images, audio, video, and embeddings. Same-Day credits are 30–90% below Venice direct and expire at 23:59 UTC; Prepaid API Keys support recurring agent jobs.

Normalize an agent payload to a PHION service schema without changing payment-critical values; return a signed repair receipt

Fix broken JSON (trailing commas, single quotes, unquoted keys). Returns only valid JSON.

Return one current Coinbase spot-product snapshot for an exact BASE-QUOTE product id, including venue price, 24-hour price change and provider-reported 24-hour product volume. Forest reads only Coinbase Advanced Trade public market data; it does not infer tickers, infer the provider volume denomination, aggregate venues, read an account or wallet, place orders, provide an executable quote, forecas

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.

LLM inference as a pay-per-call commodity — ask anything (?q=...) and get the first live answer from a multi-provider failover chain (Groq, Gemini, paid tiers when configured). One flat price, any subject, no API keys...

Get OpenAI-compatible inference from many models at market prices via Surplus Intelligence.

Purpose-bound Adobe Fonts (Typekit) observation (fonts) using the existing fresh Stack-Monitor. Returns stack_adobe_fonts_decision, direct versus inferred status, evidence, optional version difference against a caller-owned baseline and reusable snapshot. Missing fingerprints do not prove absence. No background scheduling, CVE, compatibility or installed-extension inventory. Existing outbound safe

Claude pricing table: what every Claude model costs per token right now — Claude 5, Claude Opus, Claude Sonnet, Claude Haiku — from Anthropic and every provider that resells or hosts them (Bedrock, Azure, Vertex, OpenRouter, Fireworks). Input, output, cache and batch USD per 1M tokens, sorted cheapest first, so you can compare Claude inference cost across hosts and pick the cheapest place to run o

DeepSeek V4 Flash Chat API (deepseek/deepseek-chat): LLM inference via OpenAI-compatible chat completions, pay per call in USDC on Base with x402. No API key, no account. Suited for AI agents and scripts that need DeepSeek V4 Flash Chat on demand. When listed, this request cost 30% less than the same request on BlockRun. Streaming and function calling supported. Exact price in the 402 quote before

Accessible transport place allocation audit on the actual proposed delivery routes. Sum declared wheelchair_places across all jobs of each active route and compare with vehicle wheelchair_places. No pickup occupancy or certification inferred. Uses the paid-qualified existing VRP planner unchanged, then checks this business rule against the actual proposed route. A rule violation yields dispatch_re

Repair one x402 route's Bazaar discovery metadata in one call. Send a resource URL and one real sample output; get the defect report plus a complete discovery package — full output schema inferred from the sample, a sub-500-char description with a use-when sentence, OpenAPI and well-known snippets, paste-in instructions — that ships only after passing both x402 SDK validators. Use this when your l

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).

Deepent Research — refusal-free LLM inference (per-request)

Quick pre-flight quality score: composite (0-100) + grade (A-F) + three framework sub-scores (PEEM, RAGAS, G-Eval) + verdict. Run upstream of any other paid call to filter weak prompts before inference. The cheapest gate on the AI input quality problem.

Quick pre-flight quality score: composite (0-100) + grade (A-F) + three framework sub-scores (PEEM, RAGAS, G-Eval) + verdict. Run upstream of any other paid call to filter weak prompts before inference. The cheapest gate on the AI input quality problem.

Given a Portuguese company NIF/NIPC, return official Portugal 2030 EU-funded project facts and evidence-based inferred investment and purchasing categories for company intelligence, sales research and procurement opportunity screening. Includes funding, rule-based confidence, provenance, snapshot freshness and a conservative commercial-opportunity assessment. Not confirmed purchase intent, open te

Get OpenAI-compatible inference from many models at market prices via Surplus Intelligence.

Parse JSON or profile a JSON value. Returns canonical JSON, a SHA-256 fingerprint, structural metrics, and an inferred shape.

agentic.no inference: OpenAI-compatible audio transcription (POST /v1/audio/transcriptions)

$0.01 USDC required (x402 / Base or Solana) Paid 0.01 USDC, and only when there is something to deliver. Changes recorded across every member of a named set (inference or devtools) after your since cursor, newest first, each with the slug, detection time, source page and the same change object the per-slug endpoint returns. An empty window is answered free (charged false) and never reaches this p

Neural and keyword web search. Optional category filter: company, research paper, news, pdf, github, tweet, personal site, linkedin profile, financial report.

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.

Use when you need a wallet portfolio value in USD, a wallet net worth or token balances with USD value for a 0x address. Do not use for solana wallets, transaction history, NFTs, DeFi positions or long-tail tokens. Returns JSON with a wallet's USD value on Ethereum and Base in one call: native and major-token balances priced on-chain from Uniswap v3 pools on Base, per-chain totals and the tokens l

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 and 60 more) and the 402 prices that model per request; served by DeepInfra, Venice AI, NEAR AI Cloud and Taifoon's own GPU (nvidia/NVIDIA-Nemotron-3-Nano-4B-

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

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.

Extract structured JSON from a web page, PDF or text: name the fields you want (up to 25, with types) and get each value with the exact quote from the page that states it. Every quote is checked against the page itself (verified, quoted, unverified or not_found), so values are never invented. Charged only when at least one field is found.