{"name":"DF Market Intelligence","description":"Fresh, agent-ready market intelligence paid per call over x402 (USDC on Base): a one-call Daily Market Briefing, SEC insider trades and cluster buying, Polymarket + Kalshi prediction-market probabilities and movers, a 24-indicator US macro dashboard with release calendar, and intelligence on the x402 agent economy itself (service rankings, trends, pricing, and a usage-ranked search to find the right paid API for a task). No API key, no signup.","payment":{"protocol":"x402","scheme":"exact","asset":"USDC","network":"eip155:8453","payTo":"0x6641acBd22Fe9a2285be51a2fAb6cF2339912C6D"},"endpoints":[{"url":"https://df-data-agent.vercel.app/api/v1/briefing/daily","method":"GET","price":"$0.04","title":"Daily Market Briefing","description":"Everything an agent needs for a market briefing in ONE call: 12 headline US macro indicators (CPI, core PCE, jobs, claims, Fed funds, 2y/10y yields, curve, mortgages, dollar), economic releases in the next 7 days, the 5 biggest 24h prediction-market moves and 5 most-traded markets (Polymarket + Kalshi), top insider cluster buys of the last 14 days, and an x402 agent-economy summary. Use this instead of calling macro-latest, macro-calendar, predictions-movers, predictions-top, insider-clusters and x402-overview separately; use those individual tools when you need full detail or filters.","tags":["briefing","markets","macro","prediction-markets","insider-trading","summary","daily"],"inputSchema":{"type":"object","properties":{},"required":[]},"exampleInput":{},"exampleOutput":{"generated_at":"2026-11-05T15:00:00Z","macro_snapshot":[{"id":"CPIAUCSL","title":"Consumer Price Index…","value":331.2,"as_of":"2026-09-01","yoy_pct":2.9}],"upcoming_releases_7d":[{"release_name":"Employment Situation","release_date":"2026-11-06"}],"prediction_markets":{"biggest_moves_24h":[{"question":"Will the Fed cut in December?","yes_probability":0.63,"change_24h":0.08}],"most_traded":[]},"insider_cluster_buying_14d":[{"ticker":"ACME","company":"Acme Corp","insiders":3,"total_value_usd":1200000}],"agent_economy":{"totals":{"services":2700,"calls_30d":2400000},"top_services":[]}}},{"url":"https://df-data-agent.vercel.app/api/v1/insider/latest","method":"GET","price":"$0.01","title":"Latest insider trades","description":"Most recent SEC Form 4 insider transactions across all US stocks, parsed to clean JSON within minutes of filing. Filter by type (P=open-market buy, S=sale) and minimum dollar value. Use this for a market-wide feed of new insider activity; for one company use insider-ticker, for multi-insider buying signals use insider-clusters.","tags":["stocks","insider-trading","sec","form4","finance","signals"],"inputSchema":{"type":"object","properties":{"type":{"type":"string","description":"Form 4 transaction code: P (buy), S (sale), A (grant), M (option exercise)…"},"min_value":{"type":"integer","description":"Minimum transaction value in USD"},"limit":{"type":"integer","description":"1-100, default 50"}},"required":[]},"exampleInput":{"type":"P","min_value":100000,"limit":50},"exampleOutput":{"count":1,"trades":[{"ticker":"ACME","issuer_name":"Acme Corp","insider_name":"Doe Jane","insider_title":"Chief Executive Officer","tx_date":"2026-10-14","tx_code":"P","tx_type":"Open-market purchase","shares":10000,"price":42.5,"value_usd":425000,"shares_after":250000,"filing_url":"https://www.sec.gov/Archives/edgar/data/…-index.htm"}]}},{"url":"https://df-data-agent.vercel.app/api/v1/insider/ticker","method":"GET","price":"$0.02","title":"Insider activity for a stock","description":"All insider buys and sells for ONE ticker over a window, with a summary: buy vs sell dollar value, distinct buyers/sellers and a net_buying / net_selling signal. Use this when you already know the stock; to discover stocks use insider-clusters or insider-latest.","tags":["stocks","insider-trading","sec","due-diligence","signals"],"inputSchema":{"type":"object","properties":{"symbol":{"type":"string","description":"Stock ticker"},"days":{"type":"integer","description":"Look-back window, 1-730, default 180"}},"required":["symbol"]},"exampleInput":{"symbol":"AAPL","days":180},"exampleOutput":{"symbol":"ACME","days":180,"summary":{"open_market_buys":3,"open_market_sells":1,"buy_value_usd":1200000,"sell_value_usd":200000,"net_value_usd":1000000,"distinct_buyers":3,"distinct_sellers":1,"signal":"net_buying"},"trades":[{"ticker":"ACME","issuer_name":"Acme Corp","insider_name":"Doe Jane","insider_title":"Chief Executive Officer","tx_date":"2026-10-14","tx_code":"P","tx_type":"Open-market purchase","shares":10000,"price":42.5,"value_usd":425000,"shares_after":250000,"filing_url":"https://www.sec.gov/Archives/edgar/data/…-index.htm"}]}},{"url":"https://df-data-agent.vercel.app/api/v1/insider/clusters","method":"GET","price":"$0.05","title":"Insider cluster buying","description":"Stocks where several different insiders bought shares on the open market in the same window — one of the strongest public insider signals. Ranked by number of insiders and dollar value. Use this to find buy ideas; it returns a short ranked list, not raw filings.","tags":["stocks","insider-trading","signals","trading","alpha"],"inputSchema":{"type":"object","properties":{"days":{"type":"integer","description":"Window in days, 1-90, default 14"},"min_insiders":{"type":"integer","description":"Minimum distinct buyers, 2-10, default 2"}},"required":[]},"exampleInput":{"days":14,"min_insiders":2},"exampleOutput":{"days":14,"min_insiders":2,"count":1,"clusters":[{"ticker":"ACME","issuer_name":"Acme Corp","insiders":3,"total_value_usd":1200000,"first_buy":"2026-10-06","last_buy":"2026-10-14","buyers":[{"name":"Doe Jane","title":"CEO","value_usd":800000}]}]}},{"url":"https://df-data-agent.vercel.app/api/v1/predictions/top","method":"GET","price":"$0.01","title":"Top prediction markets","description":"Highest-volume live prediction markets across Polymarket and Kalshi with implied probabilities, 24h change, volume and close time. Refreshed every 15 minutes. Use this for what the crowd is betting on right now; for a specific event use predictions-search, for sudden shifts use predictions-movers.","tags":["prediction-markets","polymarket","kalshi","probabilities","events","forecasting"],"inputSchema":{"type":"object","properties":{"source":{"type":"string","description":"Optional: polymarket or kalshi","enum":["polymarket","kalshi"]},"limit":{"type":"integer","description":"1-100, default 25"}},"required":[]},"exampleInput":{"limit":25},"exampleOutput":{"count":1,"markets":[{"id":"polymarket:123","source":"polymarket","question":"Will the Fed cut rates in December?","yes_price":0.63,"change_24h":0.04,"volume_24h":1250000,"closes_at":"2026-12-10T19:00:00Z","url":"https://polymarket.com/event/…"}]}},{"url":"https://df-data-agent.vercel.app/api/v1/predictions/search","method":"GET","price":"$0.01","title":"Search prediction markets","description":"Find the market-implied probability of any event (elections, Fed decisions, sports, crypto, geopolitics) across Polymarket and Kalshi by keyword. Use this when you have a specific question like 'will the Fed cut in December'.","tags":["prediction-markets","probabilities","search","forecasting","events"],"inputSchema":{"type":"object","properties":{"q":{"type":"string","description":"Keywords, e.g. 'fed december' or 'bitcoin 150k'"},"limit":{"type":"integer","description":"1-100, default 25"}},"required":["q"]},"exampleInput":{"q":"fed rate","limit":25},"exampleOutput":{"query":"fed rate","count":1,"markets":[{"id":"polymarket:123","source":"polymarket","question":"Will the Fed cut rates in December?","yes_price":0.63,"change_24h":0.04,"volume_24h":1250000,"closes_at":"2026-12-10T19:00:00Z","url":"https://polymarket.com/event/…"}]}},{"url":"https://df-data-agent.vercel.app/api/v1/predictions/movers","method":"GET","price":"$0.01","title":"Prediction market movers","description":"Markets whose implied probability moved the most in the last 24h — what the crowd suddenly changed its mind about. Filtered by minimum volume. Use this to spot breaking news and shifting expectations.","tags":["prediction-markets","movers","news","signals","forecasting"],"inputSchema":{"type":"object","properties":{"min_volume":{"type":"integer","description":"Minimum 24h volume in USD, default 10000"},"limit":{"type":"integer","description":"1-100, default 25"}},"required":[]},"exampleInput":{"min_volume":10000,"limit":25},"exampleOutput":{"min_volume":10000,"count":1,"markets":[{"id":"polymarket:123","source":"polymarket","question":"Will the Fed cut rates in December?","yes_price":0.63,"change_24h":0.04,"volume_24h":1250000,"closes_at":"2026-12-10T19:00:00Z","url":"https://polymarket.com/event/…"}]}},{"url":"https://df-data-agent.vercel.app/api/v1/macro/latest","method":"GET","price":"$0.01","title":"US macro dashboard","description":"Latest value, change and year-over-year % for 24 key US indicators: CPI, core CPI, PCE, payrolls, unemployment, jobless claims, Fed funds, 2y/10y/30y yields, curve, mortgages, GDP, M2, Fed balance sheet, dollar index. Use this for a one-call snapshot of the US economy; for one indicator's history use macro-series.","tags":["macro","economics","inflation","rates","fred","finance"],"inputSchema":{"type":"object","properties":{},"required":[]},"exampleInput":{},"exampleOutput":{"count":1,"series":[{"series_id":"CPIAUCSL","title":"Consumer Price Index…","latest_date":"2026-09-01","latest_value":330.1,"change_pct":0.3,"yoy_pct":2.9}]}},{"url":"https://df-data-agent.vercel.app/api/v1/macro/series","method":"GET","price":"$0.01","title":"Macro time series","description":"History (up to ~260 observations) plus summary stats for ONE US macro series by FRED id (e.g. CPIAUCSL, UNRATE, DGS10). Use this when you need the trend or a chart of a single indicator; for today's values of all 24 use macro-latest.","tags":["macro","economics","time-series","fred"],"inputSchema":{"type":"object","properties":{"id":{"type":"string","description":"FRED series id, e.g. CPIAUCSL, UNRATE, DGS10"}},"required":["id"]},"exampleInput":{"id":"CPIAUCSL"},"exampleOutput":{"series_id":"UNRATE","title":"Unemployment Rate","latest_value":4.2,"observations":[{"date":"2026-09-01","value":4.2}]}},{"url":"https://df-data-agent.vercel.app/api/v1/macro/calendar","method":"GET","price":"$0.01","title":"Economic release calendar","description":"Upcoming US economic data releases (CPI, jobs report, GDP, etc.) for the next N days. Use this to know when market-moving data comes out.","tags":["macro","calendar","economics","events"],"inputSchema":{"type":"object","properties":{"days":{"type":"integer","description":"1-45, default 14"}},"required":[]},"exampleInput":{"days":14},"exampleOutput":{"from":"2026-10-16","to":"2026-10-30","count":1,"releases":[{"release_id":10,"release_name":"Consumer Price Index","release_date":"2026-10-22"}]}},{"url":"https://df-data-agent.vercel.app/api/v1/x402/overview","method":"GET","price":"$0.01","title":"x402 agent-economy overview","description":"Market-level summary of the x402 agent economy from the full Bazaar catalogue: total services and endpoints, 30-day paid calls, estimated USDC volume, demand by category, network mix and the top 15 services. Testnet and self-test listings are excluded. Use this for the big picture in one call; for a full ranked list use x402-services, to find a specific API use x402-search.","tags":["x402","agent-economy","analytics","market-intelligence","bazaar","ai-agents"],"inputSchema":{"type":"object","properties":{},"required":[]},"exampleInput":{},"exampleOutput":{"as_of":"2026-10-16T18:00:00Z","totals":{"resources":43883,"services":1150,"calls_30d":2400000,"est_volume_30d_usd":41000,"services_active_7d":410,"concentrated_services":37},"by_category":{"market_data":{"services":120,"calls_30d":310000,"est_revenue_30d_usd":6100}},"top_services":[{"service_name":"Example API","host":"api.example.com","category":"search_scrape","calls_30d":345851,"payers_30d_max":3093}]}},{"url":"https://df-data-agent.vercel.app/api/v1/x402/services","method":"GET","price":"$0.01","title":"x402 service rankings","description":"Ranked list of individual x402 services (by 30-day calls, unique payers or estimated revenue) with endpoint count, median price and networks; filter by category. Services whose volume comes from 2 or fewer wallets (likely self-testing) and testnet listings are excluded by default. Use this for competitive research or to compare providers; for a market summary use x402-overview.","tags":["x402","agent-economy","rankings","competitive-intelligence","bazaar"],"inputSchema":{"type":"object","properties":{"sort":{"type":"string","description":"calls (default), payers or revenue","enum":["calls","payers","revenue"]},"category":{"type":"string","description":"ai_inference, trading_defi, onchain_data, market_data, search_scrape, social, media, infra, travel, other"},"include_concentrated":{"type":"string","description":"true to include services with volume from <5 wallets","enum":["true","false"]},"limit":{"type":"integer","description":"1-200, default 50"}},"required":[]},"exampleInput":{"limit":50},"exampleOutput":{"sort":"calls","count":1,"services":[{"host":"api.example.com","service_name":"Example API","category":"market_data","calls_30d":21857,"payers_30d_max":6032,"est_revenue_30d_usd":218.57,"median_price_usd":0.01,"concentrated":false}]}},{"url":"https://df-data-agent.vercel.app/api/v1/x402/search","method":"GET","price":"$0.01","title":"Find a paid API for a task","description":"Agents: describe what you need ('weather forecast', 'token price', 'transcribe audio') and get matching x402 endpoints ranked by real usage, with price, method, network and recent activity. Decoy/honeypot endpoints (≥$1000) are excluded.","tags":["x402","discovery","search","api-directory","ai-agents","tools"],"inputSchema":{"type":"object","properties":{"q":{"type":"string","description":"What you need, 2-80 chars"},"max_price":{"type":"string","description":"Maximum price per call in USD, e.g. 0.01"},"category":{"type":"string","description":"Optional category filter (see /api/v1/x402/overview)"},"limit":{"type":"integer","description":"1-100, default 20"}},"required":["q"]},"exampleInput":{"q":"weather forecast","max_price":"0.05","limit":20},"exampleOutput":{"query":"weather forecast","count":1,"resources":[{"resource":"https://api.example.com/weather","service_name":"Example Weather","method":"GET","price_usd":0.002,"calls_30d":5120,"payers_30d":88}]}},{"url":"https://df-data-agent.vercel.app/api/v1/x402/trending","method":"GET","price":"$0.02","title":"Trending x402 services","description":"Which x402 services gained or lost the most paid calls versus N days ago, plus new entrants — built from our daily snapshots of the whole catalogue.","tags":["x402","agent-economy","trends","movers","competitive-intelligence"],"inputSchema":{"type":"object","properties":{"days":{"type":"integer","description":"Compare with N days ago, 1-90, default 7"},"limit":{"type":"integer","description":"1-100, default 20"}},"required":[]},"exampleInput":{"days":7,"limit":20},"exampleOutput":{"as_of":"2026-10-23","compared_to":"2026-10-16","gainers":[{"host":"api.example.com","calls_30d":9000,"calls_30d_before":4000,"calls_change":5000,"calls_change_pct":125}],"decliners":[],"new_entrants":[]}},{"url":"https://df-data-agent.vercel.app/api/v1/x402/pricing","method":"GET","price":"$0.01","title":"x402 price benchmarks","description":"What paid agent APIs cost, per category: 25th/50th/75th percentile price, free share, and the median price of endpoints that actually get paid calls. For sellers setting prices and buyers checking value.","tags":["x402","pricing","benchmarks","agent-economy"],"inputSchema":{"type":"object","properties":{},"required":[]},"exampleInput":{},"exampleOutput":{"all":{"endpoints":40000,"p25_usd":0.001,"median_usd":0.01,"p75_usd":0.05,"median_usd_of_used_endpoints":0.005},"by_category":{"market_data":{"median_usd":0.01}}}}]}