On-Chain Data Desk

NEAR Protocol JSON-RPC integration. 27 actions covering account state, access keys, contract storage and code, view function calls, blocks, chunks, validators, transaction lifecycle, gas and protocol config, state changes, network status, and light-client proofs. No credentials required for read actions.

Tests a market theory the user defines, automatically, over time. The user states a hypothesis like \"when ETH rises more than 3% in 24h, NEAR rises within the next 48h\"; the agent checks prices every 6 hours, logs each trigger event, and 48h later checks whether the predicted outcome held — building a confirmed/refuted tally and a hit rate. Every Sunday it sends a Telegram report with the running results and a verdict (promising / inconclusive / rejected), so a hunch becomes evidence instead of a feeling.

Smart contract security auditing covering vulnerability taxonomy, static analysis, invariant testing, formal verification, exploit pattern analysis, and remediation for EVM and NEAR.

Explore the NEAR ecosystem from public NEAR Catalog data. Keyword-search projects, browse and filter the catalog by status/phase, list trending projects, look up full project profiles and related projects, browse categories, find people building on NEAR, and list awesome-near OSS libraries. No authentication required.

Polymarket public market intelligence integration for IronClaw. Reads markets, events, tags, sports, orderbooks, prices, positions, leaderboards, profiles, and comments across the Polymarket prediction-market platform. No authentication required.

Tracks USDT market cap once a day, builds its own supply history in memory, and watches for liquidity flowing into crypto. Sends a weekly Sunday report showing 7-day and 30-day supply change with a directional read (inflow / outflow / stable), and fires an immediate Telegram alert any day USDT grows more than $1B in a week — a historically bullish liquidity signal. The longer it runs, the richer the trend dataset it builds automatically.

Build organic visibility through data-driven keyword research, technical SEO optimization, content strategy, link building, and measurable organic growth.

Master pandas, NumPy, and data wrangling at scale covering I/O optimization, dtype strategy, cleaning workflows, EDA patterns, aggregations, joins, and memory-efficient pipelines for large datasets.

Database design and optimization guidance covering schema modeling, indexing strategies, EXPLAIN analysis, N+1 prevention, connection pooling, zero-downtime migrations, and database selection.

Property valuation, rental yield analysis, mortgage amortization, 1031 exchanges, cap rates, and comparative market analysis.

Genealogical research methodology, historical record identification, source citation standards, DNA analysis, and breaking through brick walls.

Build investment theses from SEC filings, financial statements, and competitive analysis with moat evaluation, multi-method valuation, and accounting red flag detection.

Contract clause analysis and risk identification for SaaS, NDA, employment, and licensing agreements with negotiation leverage guidance.

Quantify competitive dynamics, market positioning, and defensible gaps using Porter's Five Forces, SWOT, feature matrices, win/loss analysis, and market sizing frameworks.

Architect defensible business plans with market sizing, unit economics, financial projections, sensitivity analysis, and investor-ready positioning.

Runs a weekly data-quality and hygiene check on the BLOG on-chain bookkeeping ledger. Reads the ledger account's recent transactions, flags missing references, anomalies, and gaps, and writes a findings report to Notion for finance review.

Watches Bitcoin dominance (BTC's share of total crypto market cap) and alerts the user on Telegram only when it crosses a key threshold: below 60% reads as a possible altcoin-season signal, above 65% as BTC dominance expanding. Between 60% and 65% it stays silent. Each check is logged to memory as an audit trail, and it only alerts on an actual threshold crossing, never on every run.

Watches NEAR's price across Binance, Bybit, and Coinbase and alerts the user on Telegram when the prices drift apart by ~1.5% or more — an early sign of an arbitrage gap or of trouble (paused withdrawals, broken liquidity) on one exchange. Runs every 2 hours, logs each snapshot to build a spread history, and stays silent while the exchanges agree.