All projects on Base matching “position”

Cross-class positioning panels per asset — futures funding stress, options 1M risk-reversal skew, order-book imbalance, and 7-day taker buy/sell ratio. Each panel: current z, percentile, 30-day sparkline, one-line narrative. Response carries a _next block with active-signals / thesis / regime-context / top-setups / peer-cluster so an agent can go from positioning read to per-asset conviction, hist

Use before acting on a Hyperliquid perpetual to see how its most profitable traders are positioned: how many wallets in a 200-wallet smart-money cohort are long vs short, long, short and net USD, the 24h change, concentration, leverage settings, share of open interest, and how that compares with the crowd (funding, 7-day move). Flags smart money positioned against a crowded move. Aggregates only,

The largest positions in a coin as pump.fun tracks them: each holder's wallet, pump.fun username and profile, amount held, position value, cost basis, realized and unrealized P&L and whether they are the developer. Use for holder concentration and smart-money analysis of a token.

Know what drove your returns. Deterministic, no-LLM portfolio attribution: send position start/end values, dated cash flows, and a reporting period; get Modified Dietz and XIRR returns, alpha against BTC, ETH, stETH, or a benchmark you supply prices for, plus per-position contribution. Caller-declared data-quality flags, a calculation hash, and an optional EIP-191 signature support transparent rep

solar-position-oracle: Solar Position & Day Length Oracle – geocoded sunrise/sunset, declination, and UTC day-of-year for any city.

Lite preview of the hedge fund 13F holdings check — same official SEC EDGAR filing data, reduced depth: top 5 long US-equity positions (issuer + value only), total book value, deterministic concentration figure, filing dates. Deterministic data, no narrative read. Full product (/api/alpha/fund-check, $0.50) adds up to 25 holdings with shares, a portfolio-shape read, notable positions, and honest 1

Live aircraft positions over Kansai / western Japan from an independent ADS-B receiver (~1s freshness): position, altitude, speed, squawk, plus callsign→route resolution (origin/destination airports) from official timetables.

Momus on Robinhood Chain: his full written read on a tennis match priced on Meridian Predict (the on-chain prediction venue on Robinhood Chain) — his chance vs the Meridian blind-auction price, the edge, the call (position / would-bet / pass) and the tennis context (form, head-to-head, surface, books); for positions the payout multiple and the return as % of stake. q = player, match or tournament;

Hyperliquid BTC/ETH perpetual futures liquidation risk index: notional at risk if leveraged price moves ±1%/3%/5%, position closest to liquidation, biggest tracked position, funding rate

Whale Radar: live Hyperliquid perps positioning of the largest and highest-PnL public accounts for one coin (or ALL): whale net long/short, smart-money bias, top positions with liquidation prices, a liquidation-cluster map, funding/OI/premium crowding and squeeze risk. Not investment advice.

Smart-money positioning for one Hyperliquid perp: how the 120 most profitable Hyperliquid accounts (30-day PnL, public leaderboard, rules-based) are positioned right now: traders long vs short, long/short/net notional in USD, bias (strong long / lean long / mixed / lean short / strong short), 1h and 24h net notional flow, snapshot age, cohort coverage. Fail-closed: stale or low-coverage snapshots

Upcoming US company earnings calendar — which companies report in a date window, with estimated EPS and revenue, as JSON. Default is the next 7 days; filter with ?from=YYYY-MM-DD&to=YYYY-MM-DD (window up to 30 days) or ?symbol=AAPL. Use for: earnings season monitoring, upcoming earnings this week, portfolio earnings alerts, event-driven trading calendar, pre-earnings positioning. $0.005 USDC per c

Stock fundamentals of a US company (e.g. AAPL, MSFT, NVDA): key financial figures and the latest filing from SEC regulatory filings, with a derived fundamental signal, score and interpretation. Use for the financials of a US-listed company. A crypto pair (BTCUSD) returns crypto fundamentals instead: perp price, volume, open interest, funding and, for BTC and ETH, CME positioning (CFTC).

Federal funds effective rate minus CPI YoY inflation. Measures whether monetary policy is restrictive or accommodative in real terms. Negative real rates = loose policy (historically supports risk assets). Positive real rates = restrictive policy (historically pressures valuations). Pre-computed daily.

Give it a latitude and longitude and it answers with what the nautical chart says about the water there: the depth range of the charted depth area containing the position, the nearest charted sounding and how far away it is, and the chart's own zone of confidence for that area. Parameters go in the query string: this is a GET, there is no body. NOT FOR NAVIGATION, stated first because it is a cond

Hyperliquid vs Binance vs Bybit predicted funding comparison for one perpetual futures market, plus current funding rate, open interest and basis. Use when an agent monitors a perp position or funding carry. Input: coin (e.g. BTC, ETH, kPEPE). Output: JSON as_of, cache_age_s, 1h + annualized funding, OI coin/USD, mark/oracle/mid, basis %, premium, 24h volume and change, per-venue predicted funding

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

KRW Macro Stress Score (0-100) — combined signal from US 3Y treasury, VIX, foreign ownership proxy (SK Hynix + Samsung, mcap-weighted), USD/KRW momentum, and Korean semiconductor equity. Rolling 120d percentile over 2yr backfill. Regime + direction + per-component breakdown. Positioning: KRW macro stress, not kimchi-premium prediction.

Signed attestation of an Aave V3 position's liquidation risk right now: health factor, debt, collateral, risk tier and the observation time, read live from public RPCs by the FractalAI MIDAS scanner across 6 chains and signed with ML-DSA-65 (NIST FIPS 204). Publicly verifiable by receipt id at /api/midas/alerts/receipt/<id> and in-browser at /midas/proof — proof of "what was seen, when", not a liq

Smart-money bundle in one call for any US-listed company by stock ticker or CIK: insider trades (Form 4), institutional 13F-HR holdings, and recent 8-K material events together. Track what executives and hedge funds are doing — buys, sells, portfolio positions, and corporate events. Resolves ticker to CIK via SEC's official index. Sourced live from data.sec.gov.

Live gTrade crowd positioning — where the money on the venue actually sits, right now. Per pair: long vs short split (%, USD both sides, total book) plus bookSharePct, each pair's share of the WHOLE Gains open book (the conviction coefficient: 90% long on a pair holding 4% of the venue's money is a strong pack; the same split on an ignored pair is noise). Venue totals included (long/short/book USD

Crypto liquidation levels on Hyperliquid perps (perpetual futures). Where ETH whale positions get liquidated and how far price must move to trigger it: levels with notional at risk, nearest first. Single-market slice of /liquidations, for agents that only track ETH

Predicted next funding rates per asset across venues (Hyperliquid vs CEX perps) — cross-venue carry, de-positioned from Hyperliquid's nested arrays.

Start the "Company Employees Scraper for LinkedIn | No Cookies" Apify actor (apimaestro/linkedin-company-employees-scraper-no-cookies). Extract LinkedIn company employees without sharing your cookies or account. Get structured data including profile details, job titles, and current positions.…

A Hyperliquid account's perpetuals state — open positions, margin summary and withdrawable balance, for any 0x address.

Funding rates for perpetual futures (perp funding) of one coin across 8 exchanges: Bybit, Hyperliquid, dYdX, Gate, Kraken, Bitfinex, Deribit, OKX. Per venue the current funding rate, interval, 8h rate, APR, next funding time, mark and index; predicted funding incl. Binance and Bybit (via Hyperliquid); the last 24 hourly prints with avg/min/max/% positive. Perpetual swap funding for BTC, ETH, SOL a

Strait of Hormuz per-vessel intelligence: the live-AIS vessel manifest (MMSI-keyed, flag derived from the MMSI MID), the OFAC-sanctioned vessels the AIS feed lists in the Persian Gulf window (last fix up to 12 hours old, aged per row by fixAgeMin) with program detail, per-vessel risk bands, latest raw AIS positions, the top AIS-dark hulls with the full dark count alongside, and OFAC + UK sanctions

Format, dimensions, megapixels, bytes, channels, transparency, color space, bit depth, DPI, orientation, animation and pages, ICC profile, and EXIF camera details (make, model, date taken, exposure, aperture, ISO, focal length, GPS position) of an image at a URL.

Scores JSONL rows using fixed rules and adds _quality. Detects some PII and bad-word patterns; optional redaction and score filtering. Detection is incomplete and can produce false positives. No AI.

Finds up to 100 faces in a JPEG or PNG at a URL with Amazon Rekognition and describes each: position, estimated age range, emotions, smile, glasses, beard, eyes and mouth open, pose and image quality. It does not identify anyone or compare faces.