All projects on Solana matching “text”

RegRadar — Regulatory impact coding for one bill/regulation URL or text. Params: bill_url= (http/https) or text=. Deterministic keyword-based taxonomy output: jurisdiction, affected_entities, obligations, deadlines, penalties, risk_score, per_industry_flags, citations. NOT legal advice.

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

Deterministic prompt-injection firewall and honeypot scrubber for AI agents. Sanitizes untrusted text and blocks detected wallet-draining commands before context ingestion.

Reader Pro: fetch a public web page and return structured data, no LLM: OpenGraph/meta tags, parsed JSON-LD (schema.org), HTML tables as row objects, deduped internal/external links, emails/phones/social profiles, heading outline, images with alt text, plus optional CSS-selector fields.

Fetch one public static HTML page after robots and public-address checks, then return bounded readable text, title, final URL and source links. Standard x402: POST the URL, sign the 402 and resend the same body. The 402 also returns an encrypted payment_request that pays for exactly the quoted fetch. No browser, login, summary or full-site crawl.

Answer a focused question from 1-3 caller-supplied text sources, with exact excerpts, source hashes, offsets, model-assessed conflicts and evidence gaps. No URL fetching or source authentication. Quote presence is checked; semantic truth/support is not independently proved. 0.01 USDC per completed brief, including insufficient/conflicting evidence; malformed output and execution failures are not s

Build a consistent prompt set for one human character: a canonical image prompt with every appearance fact labelled, negative prompts that stop traits like glasses or a cane from vanishing, a video prompt, and optionally a contact sheet that holds everything fixed and walks one axis. Works with any image or video model. Text keeps wardrobe and framing stable; for the same FACE across images, gener

Parse a freight rate confirmation (PDF or text) into structured JSON — freight.parse_ratecon

Compact LLM-friendly Hyperliquid perp market brief in one call: a plain-English brief_text paragraph plus JSON for BTC/ETH/SOL/HYPE (mark, 24h change, funding APR, predicted funding, OI and OI change), top-5 funding extremes each side, largest whale net tilts, nearest whale liquidation levels for the majors, and HL listing/delisting events with our first-seen timestamps. Freshness fields included.

Video generation from a text prompt, a start image, reference images, or a reference clip (Kling, Seedance, MiniMax H3, Wan, Veo, Grok Imagine, more), billed at the render's actual cost — from about half provider list price, never above list. Per-model length, resolution, and audio options; the call returns finished video URLs. Menu + prices: GET /api/v1/media/models (free).

ENS resolve (name ⇄ address), $0.001 USDC per call: Resolve an ENS name (vitalik.eth, also *.base.eth via CCIP) to its Ethereum address, or reverse-resolve an address to its primary ENS name (forward-verified), plus avatar/url/twitter/github text records when set. Live from Ethereum mainnet via public RPC. No record returns 404 (not charged). No params = runs the example input.

Short-text nonstreaming Claude inference. Solana USDC x402 exact quote calculated before inference (not actual-use settlement).

Get funding rate pattern signals (streaks, extremes, divergences)