HSH Data-on-Demand

Made-to-order data for AI agents: company intel, B2B contacts, scraping. Pay per call via x402.

¿Debería usar esto?

Calidad y seguridad

B
Calidad de la descripción
98%
Integridad del esquema
93%
Calidad de los nombres
57%
Riesgo de envenenamiento
40%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (30)

  • HIGHTool poisoning patterns detected
  • LOWTool 'hsh-b2b-full' description lacks action verben hsh-b2b-full
  • LOWTool 'hsh-company-intelligence' doesn't follow camelCase/snake_caseen hsh-company-intelligence
  • LOWTool 'hsh-b2b-contact' doesn't follow camelCase/snake_caseen hsh-b2b-contact
  • LOWTool 'hsh-b2b-enriched' doesn't follow camelCase/snake_caseen hsh-b2b-enriched
  • LOWTool 'hsh-b2b-full' doesn't follow camelCase/snake_caseen hsh-b2b-full
  • LOWTool 'hsh-web-scrape' doesn't follow camelCase/snake_caseen hsh-web-scrape
  • LOWTool 'hsh-monitoring' doesn't follow camelCase/snake_caseen hsh-monitoring
  • LOWTool 'hsh-custom-dataset' doesn't follow camelCase/snake_caseen hsh-custom-dataset
  • LOWTool 'hsh-finetune-dataset' doesn't follow camelCase/snake_caseen hsh-finetune-dataset

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~5,707Tokens (definiciones de herramientas)
~1.0 KBTamaño de respuesta típico
Impacto significativo en la atención (4.46% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "data-on-demand": {
      "url": "https://dod.hshintelligence.com/mcp"
    }
  }
}

Puntos de conexión remotos

https://dod.hshintelligence.com/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (32)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
⚪hsh-company-intelligence(query, mode, filters, limit)

Real-time intelligence on a company by name or domain. ALWAYS returns: profile, description, industry, tech stack detected on the live site, and public social links. Founders, YC batch and tags come from the YC dataset and are returned ONLY when that dataset answers — every response states which path served it in `source_path`, and a live-hunt response lists what it could not provide. discover (filtered list) requires the dataset and is refused before payment when it is unavailable. Pay per call via x402 (USDC on Base).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Company name or domain, OR a discovery query.",
      "type": "string"
    },
    "mode": {
      "description": "",
      "type": "string",
      "enum": [
        "lookup",
        "discover"
      ]
    },
    "filters": {
      "description": "For discover: { industry?, batch?, is_hiring? }. No contact-detail filter exists: this product collects no email addresses (removed at source 2026-09-10).",
      "type": "object"
    },
    "limit": {
      "description": "",
      "type": "number"
    }
  },
  "required": [
    "query"
  ]
}
⚪hsh-b2b-contact(industry, role, location, quantity)

Verified B2B contact records: name + business email + company. SMTP-validated emails (bounce rate <3%). Industry/title filters. Per-record pricing scales with quantity. Tier 1: 1-50 records ($3-15). Tier 2: 51-5000 records ($15-500). Tier 3: 5001-100K ($250-3000).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "industry": {
      "description": "Industry filter (e.g., 'D2C skincare', 'B2B SaaS').",
      "type": "string"
    },
    "role": {
      "description": "Job title or role (e.g., 'CTO', 'Founder', 'Head of Marketing').",
      "type": "string"
    },
    "location": {
      "description": "City, state, or country.",
      "type": "string"
    },
    "quantity": {
      "description": "Number of contacts needed (1-100000).",
      "type": "number"
    }
  },
  "required": [
    "quantity"
  ]
}
⚪hsh-b2b-enriched(industry, role, seniority, company_size, quantity)

Multi-source enriched B2B records: name + email + LinkedIn URL + title + company size + industry. Cross-referenced from 3+ sources for accuracy. Tier 1: 1-50 ($3-15). Tier 2: 51-5000 ($15-500). Tier 3: 5001-100K ($250-3000).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "industry": {
      "description": "",
      "type": "string"
    },
    "role": {
      "description": "",
      "type": "string"
    },
    "seniority": {
      "description": "Director, VP, C-suite, etc.",
      "type": "string"
    },
    "company_size": {
      "description": "Range like '11-50' or '500+'.",
      "type": "string"
    },
    "quantity": {
      "description": "",
      "type": "number"
    }
  },
  "required": [
    "quantity"
  ]
}
⚪hsh-b2b-full(industry, tech_stack, funding_stage, revenue_range, quantity)

Deep enrichment: name + email + phone + LinkedIn + firmographic data + tech stack signals + funding history + revenue estimates. Multi-source fusion (5+ sources). For sales teams that need everything. Tier 2: $15-500 (small batch). Tier 3: $250-3000 (high volume).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "industry": {
      "description": "",
      "type": "string"
    },
    "tech_stack": {
      "description": "Filter by tech they use (e.g., 'Shopify', 'Salesforce').",
      "type": "string"
    },
    "funding_stage": {
      "description": "",
      "type": "string"
    },
    "revenue_range": {
      "description": "",
      "type": "string"
    },
    "quantity": {
      "description": "",
      "type": "number"
    }
  },
  "required": [
    "quantity"
  ]
}
🟢hsh-web-scrape(source_url, fields, quantity, complexity_hint)

Custom web scraping: extract structured data from any public site or directory. Handles static HTML, JS-rendered, paginated, and basic anti-bot. Pricing per record + complexity multiplier (1.0-2.5x). Tier 1: $3-15 (50 records). Tier 2: $15-500 (5K records). Tier 3: $250-3000 (100K).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "source_url": {
      "description": "Target site or section to scrape.",
      "type": "string"
    },
    "fields": {
      "description": "List of fields to extract per record.",
      "type": "string"
    },
    "quantity": {
      "description": "Expected record count (or 'all').",
      "type": "number"
    },
    "complexity_hint": {
      "description": "'static', 'js_render', 'auth_required'.",
      "type": "string"
    }
  },
  "required": [
    "source_url",
    "fields"
  ]
}
🟡hsh-monitoring(urls, frequency, alert_threshold, duration_months, webhook_url)

Continuous URL/page monitoring with change detection. Daily, hourly, or real-time snapshots. Webhook alerts on diff. Includes screenshot archive. Priced per URL per month ($10/URL/month, 15% off for 6+ month commits).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "urls": {
      "description": "List of URLs to monitor.",
      "type": "string"
    },
    "frequency": {
      "description": "",
      "type": "string",
      "enum": [
        "hourly",
        "daily",
        "weekly"
      ]
    },
    "alert_threshold": {
      "description": "'any_change', 'price_change', 'content_change', 'custom_regex'.",
      "type": "string"
    },
    "duration_months": {
      "description": "",
      "type": "number"
    },
    "webhook_url": {
      "description": "",
      "type": "string"
    }
  },
  "required": [
    "urls"
  ]
}
⚪hsh-custom-dataset(schema_description, sources_hint, quantity_estimate, delivery_format)

Novel datasets that don't exist anywhere yet: cross-domain fusion, industry-specific schemas, real-time aggregated intelligence. Setup fee $500 + per-record $0.20. Includes parser dev, QA, and documentation. Tier 3 ($250-3000) for small custom builds, Tier 4 (human-scoped) for novel/large.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "schema_description": {
      "description": "Plain English description of what data + structure you need.",
      "type": "string"
    },
    "sources_hint": {
      "description": "Suggested data sources if known.",
      "type": "string"
    },
    "quantity_estimate": {
      "description": "",
      "type": "number"
    },
    "delivery_format": {
      "description": "",
      "type": "string",
      "enum": [
        "csv",
        "json",
        "parquet",
        "api"
      ]
    }
  },
  "required": [
    "schema_description"
  ]
}
🔴hsh-finetune-dataset(task_description, domain, row_count, schema_hint, target_platform, ...)

Made-to-order, answer-verified datasets for LLM fine-tuning. Describe the task (e.g. 'step-by-step math reasoning', 'SQL generation', 'instruction-following for support replies') and we deliver a clean, HuggingFace-ready dataset in Alpaca schema (instruction/input/output), deduplicated, train/val/test split, with every checkable answer verified in code. Drop the repo straight into Gradients (SN56), TRL, Axolotl, or Unsloth. Verified sample live: huggingface.co/datasets/HSH-Intelligence/verified-math-reasoning-3k. Tier S: 1-2K rows ($75). Tier M: 2-5K rows ($150). Tier L: 5-10K rows ($300). Custom/larger scoped on request.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "task_description": {
      "description": "Plain English: what the model should learn to do (the instruction-following task).",
      "type": "string"
    },
    "domain": {
      "description": "Subject domain (e.g. 'math', 'SQL', 'customer support', 'legal Q&A').",
      "type": "string"
    },
    "row_count": {
      "description": "Number of training rows needed (1000-10000 standard; larger scoped on request).",
      "type": "number"
    },
    "schema_hint": {
      "description": "Preferred schema. Default: Alpaca instruction/input/output (Gradients-ready).",
      "type": "string"
    },
    "target_platform": {
      "description": "Where you'll train — tunes the delivered format.",
      "type": "string",
      "enum": [
        "gradients",
        "trl",
        "axolotl",
        "unsloth",
        "generic"
      ]
    },
    "verification": {
      "description": "How answers are checked. Programmatic (code-verified ground truth) where the task allows.",
      "type": "string",
      "enum": [
        "programmatic",
        "llm_judge",
        "none"
      ]
    }
  },
  "required": [
    "task_description",
    "row_count"
  ]
}
⚪hsh-crypto-intel(asset, symbol)

Complete crypto intel for trading agents. Three layers in one call: (1) cross-exchange POSITIONING — Binance + Bybit funding, open interest, price fused into a signal (overheated-long/short, cross-exchange dislocation); (2) ON-CHAIN whale activity — large confirmed BTC transactions from the latest block; (3) LIQUIDATION RISK — a derived forward-looking cascade-risk score from funding + OI + price. Pay per call via x402 (USDC on Base). Supported assets: BTC, ETH, SOL, BNB, XRP, DOGE.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "asset": {
      "description": "Asset ticker e.g. BTC, ETH, SOL (default BTC).",
      "type": "string"
    },
    "symbol": {
      "description": "Optional explicit perp symbol e.g. BTCUSDT.",
      "type": "string"
    }
  },
  "required": []
}
⚪hsh-india-announcements(limit, symbol)

Live NSE corporate-announcement intel for Indian listed companies. Each announcement is classified by event type (dividend, earnings, board_meeting, M&A, fundraise, order_win, buyback, investor_meet, management_change, credit_rating) and tagged with sentiment + a plain-English impact summary. Optional symbol filter. Real-time, structured, agent-ready. Pay per call via x402 (USDC on Base).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "limit": {
      "description": "How many recent announcements.",
      "type": "number"
    },
    "symbol": {
      "description": "Optional NSE symbol filter e.g. RELIANCE, TCS.",
      "type": "string"
    }
  },
  "required": []
}
⚪hsh-india-fundamentals(symbol, period)

Indian listed-company fundamentals from NSE official XBRL filings — primary regulatory disclosures, no third-party data. Quarterly P&L (revenue, net profit, EPS, net margin) with YoY and QoQ growth, PLUS the annual balance sheet (assets, equity, debt, current assets/liabilities, cash) and self-computed institutional ratios: ROE, ROCE, debt/equity, current ratio, interest coverage, asset turnover. PLUS shareholding pattern (promoter %, public %, promoter-pledge governance flag). Institutional-method (ratios derived from primary filings). Values in INR crore. Pass an NSE symbol. Pay per call via x402 (USDC on Base).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "symbol": {
      "description": "NSE symbol, e.g. RELIANCE, TCS, INFY, HDFCBANK.",
      "type": "string"
    },
    "period": {
      "description": "Quarterly or Annual.",
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ]
}
⚪hsh-mena-intel(country, ticker)

MENA (Gulf) market intelligence for trading agents. Combines the signals that actually drive Gulf markets: OIL (Brent + WTI, latest price + 30-day trend + derived Gulf-equity impact — oil is the dominant Gulf market driver), SOVEREIGN MACRO (GDP growth, inflation, GDP size per country from World Bank), USD-PEG stability (Gulf currencies are USD-pegged — a key FX-risk signal), and live MENA EQUITY pricing (price + 52-week positioning for major Gulf stocks like Aramco, Emaar, QNB, Al Rajhi). For SAUDI specifically, adds official Tadawul market data via the SAHMK API: TASI index level, market breadth (advancers/decliners), market mood, and rich per-stock quotes (OHLC, bid/ask, volume). Note: deep Gulf company financials are license-walled (no SEC/NSE-style free disclosure); this delivers the genuinely-free market-level intel. Pass a country code and optional Gulf ticker. Pay per call via x402 (USDC on Base).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "country": {
      "description": "Gulf country code: SA, AE, QA, KW, BH, OM, EG.",
      "type": "string"
    },
    "ticker": {
      "description": "Optional Gulf equity ticker, e.g. 2222.SR (Aramco), EMAAR.AE, QNBK.QA, 1120.SR (Al Rajhi).",
      "type": "string"
    }
  },
  "required": []
}
⚪hsh-esg-events(limit, pillar, ticker, days)

Authoritative company-attributed ESG material-event intel from SEC filings. UNIVERSE IS A FIXED 35-NAME WATCHLIST of large, ESG-watched US issuers (energy, auto, finance, pharma, consumer, tech, industrials, tobacco) — NOT all US-listed companies. Pass `ticker` to scan a company outside it; every response states its own universe size. Sourced from SEC EDGAR 8-K + SD filings (companies disclosing their own material events): governance changes, restatements, auditor changes, bankruptcy/debt triggers, material impairments, litigation/other-material-events, conflict-minerals disclosures. Each event is mapped to ESG pillar (E/S/G), severity-graded (1-5), and links to the actual SEC filing. Optional ticker or pillar filter. Pay per call via x402 (USDC on Base).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "limit": {
      "description": "Max events to return.",
      "type": "number"
    },
    "pillar": {
      "description": "Filter by pillar: E, S, or G.",
      "type": "string"
    },
    "ticker": {
      "description": "Filter to one company e.g. AAPL, XOM.",
      "type": "string"
    },
    "days": {
      "description": "Lookback window in days.",
      "type": "number"
    }
  },
  "required": []
}
⚪hsh-hiring-signal(company, greenhouse, lever, ashby, ticker, ...)

Multi-signal alt-data intel for investment research. Combines up to six independent free signals into one call: (1) HIRING posture across Greenhouse + Lever + Ashby job boards (gtm_expansion / product_build / balanced_growth / hiring_freeze from department mix); (2) INSIDER activity from SEC Form 4 filings (last 90 days); (3) GITHUB engineering velocity (stars, push recency); (4) WIKIPEDIA public-interest trend; (5) APP STORE top-free ranking presence; (6) HACKER NEWS mention velocity. Operational/behavioral signals that precede price moves. Pass whichever identifiers you have. Pay per call via x402 (USDC on Base).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "company": {
      "description": "Company display name.",
      "type": "string"
    },
    "greenhouse": {
      "description": "Greenhouse board token (e.g. stripe, coinbase).",
      "type": "string"
    },
    "lever": {
      "description": "Lever slug (e.g. spotify).",
      "type": "string"
    },
    "ashby": {
      "description": "Ashby slug (e.g. ramp).",
      "type": "string"
    },
    "ticker": {
      "description": "Stock ticker for SEC insider signal (e.g. COIN, AAPL).",
      "type": "string"
    },
    "github": {
      "description": "GitHub owner/repo for engineering-velocity signal (e.g. stripe/stripe-node).",
      "type": "string"
    },
    "wiki": {
      "description": "Wikipedia article title for interest signal (e.g. Coinbase).",
      "type": "string"
    },
    "ios_app": {
      "description": "iOS app name to check top-free ranking (e.g. Cash App).",
      "type": "string"
    },
    "hn": {
      "description": "Hacker News search term for buzz signal.",
      "type": "string"
    }
  },
  "required": [
    "company"
  ]
}
⚪hsh-shariah-screen(ticker)

Rule-based Shariah (Islamic finance) compliance screen for US-listed companies. Applies AAOIFI-style screening using authoritative SEC financials: (1) business-activity screen (flags alcohol, tobacco, gambling, conventional banking/insurance, pork, weapons, adult), (2) financial ratio screens (debt/assets <33%, liquid+interest/assets <33%, receivables/assets <49%). Returns verdict (compliant / non_compliant / questionable) with the exact failing test and ratios. Pay per call via x402 (USDC on Base).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "ticker": {
      "description": "US-listed ticker to screen, e.g. AAPL, XOM, JPM.",
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢hsh-esg-news(limit, pillar, company, region)

EU & global ESG controversy intel for compliance and trading agents. Detects company ESG controversies (environmental, social, governance) from worldwide news in real time, then enriches each with GLEIF entity resolution (LEI + country of domicile) and EU sanctions-list screening. Pillar-classified, severity-graded, source-linked. Pass region='EU' to filter to EU-domiciled companies. News-derived breadth (complements the authoritative SEC-filing ESG product hsh-esg-events). Pay per call via x402 (USDC on Base).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "limit": {
      "description": "Max controversies to return.",
      "type": "number"
    },
    "pillar": {
      "description": "Filter by pillar: E, S, or G.",
      "type": "string"
    },
    "company": {
      "description": "Optional company-name filter.",
      "type": "string"
    },
    "region": {
      "description": "Pass 'EU' to filter to EU-domiciled companies.",
      "type": "string"
    }
  },
  "required": []
}
⚪hsh-cricket-fantasy-picks(players, is_chase, venue)

Fantasy cricket picks + captain for a T20 match. Ranks players by predicted fantasy value and names the optimal captain (35.6% captain-hit, 2x random). Dream11-style. Pay per call via x402.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "players": {
      "description": "List of player names in the match squad.",
      "type": "string"
    },
    "is_chase": {
      "description": "1 if this team is chasing, else 0.",
      "type": "number"
    },
    "venue": {
      "description": "Optional venue name for pitch context.",
      "type": "string"
    }
  },
  "required": [
    "players"
  ]
}
⚪hsh-cricket-chase-winprob(balls_bowled, wickets, cum_runs, target)

Real-time chase win-probability for a T20 run chase, updated per ball. Model AUC 0.88, beats run-rate heuristic by 8.6pts. In-play betting signal. Pay per call via x402.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "balls_bowled": {
      "description": "Legal balls bowled in the chase (0-120).",
      "type": "number"
    },
    "wickets": {
      "description": "Wickets lost (0-10).",
      "type": "number"
    },
    "cum_runs": {
      "description": "Runs scored so far.",
      "type": "number"
    },
    "target": {
      "description": "Target to win (1st innings total + 1).",
      "type": "number"
    }
  },
  "required": [
    "balls_bowled",
    "wickets",
    "cum_runs",
    "target"
  ]
}
⚪hsh-cricket-momentum(target, prev, curr)

Momentum & pressure index for a live T20 chase — quantifies which side is gaining (the swing signal) plus a pressure score. In-play trader signal. Pay per call via x402.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "target": {
      "description": "Target to win.",
      "type": "number"
    },
    "prev": {
      "description": "Prior state {balls_bowled, wickets, cum_runs, target}.",
      "type": "object"
    },
    "curr": {
      "description": "Current state {balls_bowled, wickets, cum_runs, target}.",
      "type": "object"
    }
  },
  "required": [
    "target",
    "prev",
    "curr"
  ]
}
⚪hsh-cricket-parscore(balls_bowled, wickets, cum_runs, venue)

Par-score / projected first-innings total from any mid-innings state. Accurate to +/-8.6 runs in death overs, beats naive extrapolation by 10.6 runs. Over/under betting signal. Pay per call via x402.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "balls_bowled": {
      "description": "",
      "type": "number"
    },
    "wickets": {
      "description": "",
      "type": "number"
    },
    "cum_runs": {
      "description": "",
      "type": "number"
    },
    "venue": {
      "description": "",
      "type": "string"
    }
  },
  "required": [
    "balls_bowled",
    "wickets",
    "cum_runs"
  ]
}
⚪hsh-cricket-timeline(target, events)

Over-by-over win-probability timeline (the broadcast 'worm') for a full T20 chase. Media/broadcast-grade. Pay per call via x402.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "target": {
      "description": "",
      "type": "number"
    },
    "events": {
      "description": "Per-over states [{balls_bowled, wickets, cum_runs, target}].",
      "type": "string"
    }
  },
  "required": [
    "target",
    "events"
  ]
}
⚪hsh-cricket-matchup(batter, bowler)

Batter-vs-bowler head-to-head record (111K pairs, Bayesian-adjusted): balls, runs, dismissals, dominance score. Fantasy + in-play edge. Pay per call via x402.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "batter": {
      "description": "Batter name (partial match ok).",
      "type": "string"
    },
    "bowler": {
      "description": "Bowler name (partial match ok).",
      "type": "string"
    }
  },
  "required": [
    "batter",
    "bowler"
  ]
}
⚪hsh-cricket-first-winprob(balls_bowled, wickets, cum_runs, venue, set_elo, ...)

First-innings win-probability while a team is still setting a total (AUC 0.76, uses venue + team strength). Pay per call via x402.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "balls_bowled": {
      "description": "",
      "type": "number"
    },
    "wickets": {
      "description": "",
      "type": "number"
    },
    "cum_runs": {
      "description": "",
      "type": "number"
    },
    "venue": {
      "description": "",
      "type": "string"
    },
    "set_elo": {
      "description": "",
      "type": "number"
    },
    "chase_elo": {
      "description": "",
      "type": "number"
    }
  },
  "required": [
    "balls_bowled",
    "wickets",
    "cum_runs"
  ]
}
⚪hsh-cricket-form(player)

Player form & fatigue rating (hot/cold form + bowling-workload fatigue flag) for established IPL players. Fantasy signal. Pay per call via x402.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "player": {
      "description": "Player name (partial match ok).",
      "type": "string"
    }
  },
  "required": [
    "player"
  ]
}
⚪hsh-cricket-chase-difficulty(target)

Chase difficulty rating at the innings break — grades how hard a target is (Easy to Very Hard) from historical chase-success data. Pay per call via x402.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "target": {
      "description": "The target to be chased.",
      "type": "number"
    }
  },
  "required": [
    "target"
  ]
}
🟢hsh_describe_data_need(need, budget_usd, urgency, agent_id, contact_email)

FREE. Describe any data need in plain language and receive an instant firm quote from HSH Intelligence Data-on-Demand: price in USDC, scope, a frozen quote_ref, and a pay_url. Pay the quote via x402 (USDC on Base or Solana) at the pay_url to place the order; delivery in 24h. Use this BEFORE purchasing custom data.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "need": {
      "type": "string",
      "description": "Free-text description of the data you need (type, volume, geography, freshness)."
    },
    "budget_usd": {
      "type": "number",
      "description": "Optional budget in USD; we may accept it within our floor."
    },
    "urgency": {
      "type": "string",
      "enum": [
        "standard",
        "express",
        "rush"
      ],
      "description": "Optional urgency."
    },
    "agent_id": {
      "type": "string",
      "description": "Optional calling-agent or wallet identifier, so we can recognise you if you return."
    },
    "contact_email": {
      "type": "string",
      "description": "Optional email. WITHOUT THIS WE CANNOT CONTACT YOU: if your need needs human scoping we have no reply path and you must email us to continue."
    }
  },
  "required": [
    "need"
  ]
}
🟢hsh_list_capabilities

FREE. List HSH Intelligence's catalogued data capabilities with live pricing, plus how to order custom data.

Esquema de entrada

{
  "type": "object",
  "properties": {}
}
🟢hsh_check_quote(quote_ref)

FREE. Check a quote_ref from hsh_describe_data_need: status, frozen price, expiry, and pay_url if still payable.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "quote_ref": {
      "type": "string",
      "description": "The quote reference, e.g. HSHQ-A1B2C3D4E5F6"
    }
  },
  "required": [
    "quote_ref"
  ]
}
⚪hsh_subscribe_data_feed(need, forms, keywords, max_price_usd, callback_url, ...)

FREE. Register a STANDING subscription so HSH watches for events matching your interest (e.g. SEC filings by form type and/or ticker/sector keywords) and sends you a quote the moment a match is caught. Turns one-off data buying into an always-on feed. Pay per matched delivery via x402.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "need": {
      "type": "string",
      "description": "Plain-language description of what to watch (e.g. 'any 8-K or 10-Q mentioning AAPL or semiconductors')."
    },
    "forms": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional SEC form types to match, e.g. [\"8-K\",\"10-Q\"]. Omit to match any material form."
    },
    "keywords": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional tickers/company names/sector terms to match in the filing."
    },
    "max_price_usd": {
      "type": "number",
      "description": "Optional max price per matched delivery; quotes above this are skipped."
    },
    "callback_url": {
      "type": "string",
      "description": "Optional webhook URL to receive match notifications; omit to poll with hsh_check_subscription."
    },
    "agent_id": {
      "type": "string",
      "description": "Optional agent/wallet id to associate with this subscription."
    }
  },
  "required": []
}
🟢hsh_check_subscription(sub_ref)

FREE. Check a subscription by its sub_ref (HSHSUB-XXXXXXXXXX): what it's watching, status, and match criteria.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "sub_ref": {
      "type": "string",
      "description": "The subscription reference, e.g. HSHSUB-A1B2C3D4E5"
    }
  },
  "required": [
    "sub_ref"
  ]
}
🟢hsh_broker_data_request(need, keywords, max_price_usd, agent_id)

Route a data need through HSH (the data-fulfillment layer for agents). HSH checks its warm inventory first — if a matching product is pre-positioned, you get an immediate-fulfillment quote; otherwise a fresh-fulfillment quote. Use this when you need data mid-task and want HSH to fulfill it.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "need": {
      "type": "string",
      "description": "Plain-language description of the data you need"
    },
    "keywords": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional match keywords (e.g. tickers, topics)"
    },
    "max_price_usd": {
      "type": "number",
      "description": "Optional budget ceiling in USD"
    },
    "agent_id": {
      "type": "string",
      "description": "Optional calling-agent identifier"
    }
  },
  "required": [
    "need"
  ]
}
🟢hsh_check_order(order_ref)

FREE. Check fulfillment status of a paid order by its order reference (HSH-XXXXXXXX).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "order_ref": {
      "type": "string",
      "description": "The order reference, e.g. HSH-1A2B3C4D"
    }
  },
  "required": [
    "order_ref"
  ]
}

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