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HarvestPulse: Global farm-to-table and agricultural intelligence API. USDA + ERS data synthesis. Local food finder (farmers markets, CSAs, on-farm markets), seasonal produce calendars, organic certification lookup, Coverage: Global Endpoints: • find ($0.05): Local Farm & Market Finder • season ($0.05): Seasonal Produce Calendar • labels ($0.08): Food Label Decoder • organic ($0.08): Certified Organic Farm Finder • dirty-dozen ($0.05): Dirty Dozen & Clean Fifteen • food-hub ($0.08): Regional Food Hub Finder • regenerative ($0.10): Regenerative Agriculture Guide • designations ($0.10): Global Food Designations • agritourism ($0.05): Agritourism & U-Pick Finder • csa ($0.10): CSA Evaluation Guide • cost ($0.10): Local vs. Conventional Cost Analysis • roadmap ($0.15): Farm-to-Table Lifestyle Roadmap • food-preservation ($0.10): Food preservation guide • foraging-intel ($0.10): Foraging intelligence • livestock-basics ($0.10): Backyard livestock guide

HomePulse: Global home intelligence API. AI-synthesized home maintenance checklists, improvement ROI analysis, neighborhood research, smart home integration, energy efficiency guidance, contractor task briefings Coverage: Global Endpoints: • value ($0.10): Home value estimate • neighborhood ($0.10): Neighborhood analysis • improve ($0.10): Home improvement ROI analysis • maintain ($0.08): Seasonal maintenance checklist • rent ($0.08): Rental market analysis • contractor ($0.10): Contractor vetting guide • energy ($0.10): Home energy efficiency • maintenance ($0.08): Personalized home maintenance calendar • roi ($0.10): Home improvement resale ROI • smart ($0.08): Smart home ecosystem advisor

MacroPulse: Real-time macro intelligence for forex and CFD traders. All endpoints require x402 payment (USDC on Base mainnet) via the PAYMENT-SIGNATURE header. Coverage: Global Endpoints: • session-brief ($0.10): Forex session brief • event-pulse ($0.20): Economic event deep-dive • crypto-pulse ($0.05): Crypto market context • commodities-pulse ($0.10): Commodities brief • calendar ($0.10): Weekly economic calendar • cot ($0.02): CFTC Commitments of Traders positioning — 21 markets, deterministic • bls-series ($0.02): US labor statistics by BLS series id — deterministic, computed YoY • eia-inventory ($0.10): Weekly EIA petroleum inventory intelligence for energy and macro agents — crude, gasoline and distillate builds and draws versus expectations, with the oil-price and CAD/NOK implications. • intermarket ($0.15): Cross-asset intermarket synthesis for macro agents — bond yields, equities, commodities and FX read together to surface the dominant regime and the divergences that tend to lead price. • rates-differential ($0.10): Interest-rate differential and carry intelligence for FX agents — G10 policy rates, yield spreads and the carry-trade map that drives durable currency trends. • regime ($0.10): Macro regime classifier for multi-asset agents — labels the current environment (risk-on/off, reflation, stagflation, tightening) and its directional implications for FX, rates and equities. • convert ($0.005): Currency conversion at the official ECB reference rate • is-open ($0.005): Is the stock market open right now? Exchange status, trading hours and holiday calendar • us ($0.01): Official US macro indicators read from Chainlink contracts (GDP, PCE, SOFR) • us-revisions ($0.02): The revision trail of a US macro series, from immutable on-chain round history • sentiment ($0.05): Real-time directional sentiment for any forex pair or gold — retail crowd positioning, COT institutional alignment, and a clear contrarian bias call. Built for FX trading and advisor agents.

PolicyPulse: PolicyPulse — global legislative intelligence: US Congress, EU (EUR-Lex), UK Parliament, India, Brazil, Australia, and 50+ jurisdictions. Bill summaries, sector impact, passage probability, treaty ana Coverage: Global Endpoints: • register ($0.02): Federal Register search — rules, proposed rules, notices, open comment periods • legislation ($0.15): Legislation — plain English translation of any bill globally • impact ($0.15): Impact — who is affected and what they must do • scenario ($0.20): Scenarios — if/then sector impact modeling • monitor ($0.10): Monitor — weekly/monthly legislative activity brief • state ($0.10): State — legislation across all 50 US states via Open States • compliance ($0.15): Compliance — what to do after a law passes • regulation ($0.15): Federal regulation — agency rules via Federal Register • compare ($0.15): Compare — cross-jurisdiction policy comparison • calendar ($0.10): Calendar — upcoming regulatory deadlines and effective dates • translate ($0.08): Translate — decode any legal or regulatory text into plain English • court ($0.15): Court decision intelligence • treaty ($0.10): International treaty and trade-agreement intelligence

Upcoming token-unlock calendar: the biggest unlocks across a basket of tokens within N days, ranked by USD value. Send { protocols?, days? }. See which supply shocks are coming and when. [x402 paid tool — price $0.005; POST /api/catalysts/calendar]

Earnings / dividend / split calendar for a tokenized equity. Read-only. The after-hours-agent feature: events an overnight strategy reacts to while the underlying trades 24/7 on Solana. Provider-backed; returns an honest empty payload + SEC EDGAR link when no feed is configured.

"Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.

Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) `topic` — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning fires in two cases — (a) matched_pairs:0 with skipped_cross_type>0 means the venues frame the topic with non-equivalent bet shapes (e.g. Kalshi range_bucket point-in-time vs Polymarket cumulative_threshold touch-anywhere — no arb exists), (b) matched_pairs:0 with skipped_cross_type:0 and both venues >5 legs means the token-overlap matcher found nothing in common — events likely semantically unrelated despite the topic keyword. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period; aligned:false means spreads are mathematically meaningless across the temporal gap. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.

"Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.

Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) `topic` — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning fires in two cases — (a) matched_pairs:0 with skipped_cross_type>0 means the venues frame the topic with non-equivalent bet shapes (e.g. Kalshi range_bucket point-in-time vs Polymarket cumulative_threshold touch-anywhere — no arb exists), (b) matched_pairs:0 with skipped_cross_type:0 and both venues >5 legs means the token-overlap matcher found nothing in common — events likely semantically unrelated despite the topic keyword. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period; aligned:false means spreads are mathematically meaningless across the temporal gap. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.

Scan all open Kalshi markets and flag those that are manipulation-vulnerable: closing soon (<24h), low open interest, low liquidity, wide spread, low volume. Daily triage tool. Returns markets ranked by risk_score (≥30 threshold). Best paired with pg_kalshi_resolution_calendar for full compliance briefing.

Compliance briefing: which Kalshi markets resolve in the next N hours? Bucketed by 6h, 24h, 48h, 1 week. Flags markets in CFTC-sensitive categories (Elections, Politics). Use for daily surveillance prep — markets near resolution have highest insider-trading risk window.

Earnings dates, estimates, and beat/miss history. Last 4 quarters: EPS actual/estimate, surprise %, day-after price reaction, consecutive beats. Pass tickers as comma-separated string. days_soon: near-term window in days (default 7, max 90).

"Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.

Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) `topic` — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning fires in two cases — (a) matched_pairs:0 with skipped_cross_type>0 means the venues frame the topic with non-equivalent bet shapes (e.g. Kalshi range_bucket point-in-time vs Polymarket cumulative_threshold touch-anywhere — no arb exists), (b) matched_pairs:0 with skipped_cross_type:0 and both venues >5 legs means the token-overlap matcher found nothing in common — events likely semantically unrelated despite the topic keyword. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period; aligned:false means spreads are mathematically meaningless across the temporal gap. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.

"Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.

Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) `topic` — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning fires in two cases — (a) matched_pairs:0 with skipped_cross_type>0 means the venues frame the topic with non-equivalent bet shapes (e.g. Kalshi range_bucket point-in-time vs Polymarket cumulative_threshold touch-anywhere — no arb exists), (b) matched_pairs:0 with skipped_cross_type:0 and both venues >5 legs means the token-overlap matcher found nothing in common — events likely semantically unrelated despite the topic keyword. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period; aligned:false means spreads are mathematically meaningless across the temporal gap. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.

"Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.

Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) `topic` — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning fires in two cases — (a) matched_pairs:0 with skipped_cross_type>0 means the venues frame the topic with non-equivalent bet shapes (e.g. Kalshi range_bucket point-in-time vs Polymarket cumulative_threshold touch-anywhere — no arb exists), (b) matched_pairs:0 with skipped_cross_type:0 and both venues >5 legs means the token-overlap matcher found nothing in common — events likely semantically unrelated despite the topic keyword. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period; aligned:false means spreads are mathematically meaningless across the temporal gap. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.

Upcoming crypto events — token unlocks, protocol upgrades, governance votes, launches. $0.03 USDC. Payment is consumed on execution, including timeouts.

Monthly performance summary for all analysts (last 6 months) — Returns win_rate, avg_return, and total_signals per analyst per calendar month for exactly the last 6 calendar months (current month + 5 prior full months, enforced with DATE_TRUNC('month') boundaries — never more than 6 month buckets). All 10 canonical analysts (chain_hawk, whale_watch, alpha_scout, defi_pulse, quant_edge, rate_hawk, flow_tracer, unlock_guard, sentiment_edge, narrative_pulse) are always present in the response with an empty array [] when they have no signals in the window. Data is computed directly from the signal_history PostgreSQL table — no separate snapshot table required. winRate is a fraction (0–1, e.g. 0.71 = 71%) and is null when fewer than 5 resolved signals exist for that month. avgReturn is in percentage points (e.g. 12.3 = +12.3% average return) and is null when no resolved+priced signals exist for that month. Useful for AI agents answering 'How did WhaleWatch perform in May?' or 'Who was the best analyst last month?'

Golden Alerts permanent monthly archive — Returns the permanent monthly archive of Golden Alert activity — one row per calendar month, aggregated from daily snapshots before they are purged. This archive is never deleted and grows indefinitely, providing AI agents with long-term trend data on alert severity and top tokens across months and years. Each month includes: totalCount (total alerts that month), highCount/mediumCount/lowCount (severity breakdown), topTokens (5 most-active tokens), daysInMonth (days with data), avgPerDay (daily average). Months with fewer than 20 daily records are excluded to ensure statistical accuracy. Data source: CryptoWhaleInsights own signal_history database (49,000+ on-chain signals). No authentication required. 60 req/min. 5-min cache.

Whale movements permanent monthly archive — Returns the permanent monthly archive of whale movement activity — one row per calendar month, aggregated from daily whale summaries before they are purged. This archive is never deleted and grows indefinitely, enabling AI agents to answer historical questions like 'in which month were whale movements highest?' across years of data. Each month includes: totalMoves (total whale signals), totalUsdValue (cumulative USD value), inflowCount/outflowCount (directional breakdown), daysInMonth, avgMovesPerDay. Months with fewer than 20 daily records are excluded. Data source: CryptoWhaleInsights own signal_history database (80+ wallets, 14 chains). No authentication required. 60 req/min. 5-min cache.

Fear & Greed permanent monthly archive — Returns the permanent monthly archive of the Fear & Greed index — one row per calendar month, aggregated from daily snapshots before they are purged. Never deleted; grows indefinitely providing AI agents with macro sentiment context across months and years. Each month includes: avgScore (0–100 average), minScore, maxScore, dominantClassification (Extreme Fear / Fear / Neutral / Greed / Extreme Greed), fearDays (days with score<40), greedDays (score>60), neutralDays, daysInMonth. Months with fewer than 20 daily records are excluded. No authentication required. 60 req/min. 5-min cache.

Social sentiment permanent monthly archive — Returns the permanent monthly archive of social sentiment per token — one row per token per calendar month, aggregated from daily snapshots before purge. Never deleted; covers 35 tracked tokens. Optional ?symbol=BTC to filter by token. Each row includes: month, symbol, avgScore (0–100), dominantSentiment (bullish/neutral/bearish), daysInMonth. Months with fewer than 20 daily records are excluded. No authentication required. 60 req/min. 5-min cache.

Stablecoin flow permanent monthly archive — Returns the permanent monthly archive of stablecoin flow data — one row per calendar month, aggregated from daily snapshots before purge. Never deleted; provides AI agents with long-term macro liquidity context. Each month includes: totalNetFlow (sum of daily 24h flows), avgTotalSupply, dominantSignal (bullish/neutral/bearish), bullishDays, bearishDays, neutralDays, daysInMonth. No authentication required. 60 req/min. 5-min cache.

Daily and monthly realized profit and loss for a wallet across its tracked history. Use for when a wallet made or lost money, and for spotting streaks. blockchain: solana, bnb, base, eth or rh address: the wallet address

PAID MCP TOOL — $0.059 USDC per successful call via native x402. Discovery is free. Upcoming dividend ex-dates from NASDAQ — all stocks going ex-dividend on a given date (default: today) or in the next 1–7 days. Returns symbol, company name, ex-date, record date, payment date, dividend amount, and annual indicated dividend. $0.008/call.

PAID MCP TOOL — $0.35 USDC per successful call via native x402. Discovery is free. AI-synthesized earnings catalyst brief for the next 7 days (configurable 1–14). Fetches the Alpha Vantage earnings calendar, identifies S&P 500 bellwether events, and uses gpt-4o-mini to produce a 150-200 word forward-looking assessment: most important event, sector concentration, and agent decision implications. One call replaces manual calendar review + synthesis.

PAID MCP TOOL — $0.099 USDC per successful call via native x402. Discovery is free. Earnings calendar for upcoming US stock reports — earnings date, EPS estimate, pre/post-market timing. Filter by ticker for per-company lookups, or scan a date window (1–90 days ahead) for calendar-driven research automation. Data: Alpha Vantage 3-month calendar, cached 2 hr.

PAID MCP TOOL — $0.079 USDC per successful call via native x402. Discovery is free. Stock price reaction to past earnings events for any US equity. Returns report-day and next-day price move % for each recent quarterly earnings date, paired with the EPS beat/miss magnitude and reaction class (beat_and_up, beat_selloff, miss_and_down, miss_rally, neutral). Identifies contrarian signals where price moved opposite to the EPS surprise. Pairs with earnings-calendar (upcoming dates) and earnings-surprises (EPS history). Yahoo Finance, no API key.

PAID MCP TOOL — $0.099 USDC per successful call via native x402. Discovery is free. Historical EPS beat/miss data for any US stock: actual EPS, consensus estimate, surprise %, beat rate, estimate revisions (30-day EPS drift), and next earnings date. Per-ticker, entity-parametric — parallel-safe for batch earnings analysis pipelines. Free Yahoo Finance data, no API key. Pairs with earnings-calendar and equity-fundamentals for a complete earnings intelligence stack.

PAID MCP TOOL — $0.034 USDC per successful call via native x402. Discovery is free. Upcoming US macro data release schedule: CPI, NFP, FOMC, GDP, PCE, PPI, JOLTS, Retail Sales, Housing Starts, and 20+ more releases with exact dates, times (ET), and market-impact priority. BLS live calendar + Fed/BEA/Census static 2026 schedule. Essential for agents timing trades or building macro-regime signals.