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hubvibe-io.com
·
2026-10-03 02:15:52 UTC
·
3095fdddf563f949fba67310a89a17744e73c6f703c128b95f6fac8011d02a75
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
{
"name": "HubVibe",
"description": "HubVibe: Pay-per-Call Agent Tools: Web Search, Email Verify, KYC Screening, Stocks, Crypto, News. Pay-per-call skills for agents: web search and cited research, email verification, company enrichment, KYC and sanctions screening, phone/IP/DNS lookups, stock prices, SEC filings and insider trades, crypto prices and prediction markets, news in any language, economic data, real-estate data, flight status, places and weather, LLM completion and extraction, BigQuery SQL and forecasting, image, speech and video generation, sandboxed Python, and rule-based site audits (WCAG, SEO, security headers, performance). One price per call, no account; a delivered job carries a receipt. Name a skill in a data part: {\"skill\": <id>, \"arguments\": {...}}.",
"supportedInterfaces": [
{
"url": "https://hubvibe-io.com/a2a",
"protocolBinding": "JSONRPC",
"protocolVersion": "1.0"
},
{
"url": "https://hubvibe-io.com/a2a",
"protocolBinding": "JSONRPC",
"protocolVersion": "0.3"
}
],
"url": "https://hubvibe-io.com/a2a",
"protocolVersion": "0.3.0",
"preferredTransport": "JSONRPC",
"provider": {
"organization": "HubVibe",
"url": "https://hubvibe-io.com"
},
"version": "1.31.1",
"documentationUrl": "https://hubvibe-io.com/llms.txt",
"iconUrl": "https://hubvibe-io.com/icon.png",
"capabilities": {
"streaming": false,
"pushNotifications": false,
"extendedAgentCard": false,
"extensions": [
{
"uri": "https://github.com/google-agentic-commerce/a2a-x402/blob/main/spec/v0.2",
"description": "Every skill is paid per call with x402 (USDC on Base or Solana). An unpaid SendMessage returns the task in input-required with the price in x402.payment.required; send the signed PaymentPayload in the next message's x402.payment.payload with the same taskId. X-PAYMENT, PAYMENT-SIGNATURE and X-API-Key headers work too.",
"required": false
}
]
},
"defaultInputModes": [
"application/json"
],
"defaultOutputModes": [
"application/json"
],
"skills": [
{
"id": "audit_wcag",
"name": "Accessibility audit (WCAG 2.1 A/AA)",
"description": "Website accessibility audit (a11y, WCAG compliance check): WCAG 2.1 level A and AA conformance of any live URL or raw HTML, tested with axe-core in a real headless browser. Returns every violation with rule id, impact, help text and affected node count. Deterministic rules; a check that cannot run returns an error, never a pass. $0.05 per call. Returns: pass (bool), violations[] with id/impact/help/help_url/nodes_affected.",
"tags": [
"accessibility",
"wcag",
"seo",
"security",
"performance"
],
"examples": [
"{\"skill\": \"audit_wcag\", \"arguments\": {\"url\": \"https://example.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "audit_seo",
"name": "SEO and metadata audit",
"description": "SEO audit of a web page (on-page SEO check) for any live URL or raw HTML: title tag, meta description, H1 heading structure, canonical link, OpenGraph and social tags, JSON-LD structured data, html lang attribute. Rule-by-rule findings with severity and what is missing or malformed. $0.05 per call. Returns: pass (bool), findings[] with id/severity/detail.",
"tags": [
"accessibility",
"wcag",
"seo",
"security",
"performance"
],
"examples": [
"{\"skill\": \"audit_seo\", \"arguments\": {\"url\": \"https://example.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "audit_security",
"name": "Security header audit",
"description": "Security headers check for a website: audits HTTPS, HSTS, Content- Security-Policy (CSP), X-Content-Type-Options, X-Frame-Options / clickjacking protection, Referrer-Policy and CORS from the real HTTP response of any live URL. Findings with severity for what is missing. Header posture only, not a penetration test. $0.05 per call. Returns: pass (bool), findings[] with id/severity/detail.",
"tags": [
"accessibility",
"wcag",
"seo",
"security",
"performance"
],
"examples": [
"{\"skill\": \"audit_security\", \"arguments\": {\"url\": \"https://example.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "audit_performance",
"name": "Page performance audit",
"description": "Page speed and page weight audit of a web page from one real browser load: total bytes transferred, HTTP request count and DOM node count, measured rather than estimated, with findings when the page is heavy. Page-weight signals, not Core Web Vitals. $0.05 per call. Returns: pass (bool), metrics{}, findings[] with id/severity/detail.",
"tags": [
"accessibility",
"wcag",
"seo",
"security",
"performance"
],
"examples": [
"{\"skill\": \"audit_performance\", \"arguments\": {\"url\": \"https://example.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "audit_bundle",
"name": "Full site compliance bundle (all four audits)",
"description": "Full website audit in one call: accessibility (WCAG 2.1 A/AA via axe-core), on-page SEO, HTTP security headers and page speed / page weight, from a single browser load of one URL. Cheaper than four separate calls; if any part cannot run, nothing is billed. Use a single audit route when you need only one of the four. $0.15 per call. Returns: pass (bool) plus wcag{}, seo{}, security{}, performance{} sub-results.",
"tags": [
"accessibility",
"wcag",
"seo",
"security",
"performance"
],
"examples": [
"{\"skill\": \"audit_bundle\", \"arguments\": {\"url\": \"https://example.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_predictive_probability_engine",
"name": "Predictive probability engine: regression, normal model, p-values",
"description": "Predictive probability and regression engine: least-squares linear regression with standard errors, confidence and prediction intervals, a fitted normal distribution with quantiles and probability queries (P(y > t)), exact Student t and Jarque-Bera p-values. Points inline or from a BigQuery table. Deterministic arithmetic, no LLM: the same input always returns the same numbers. Input: points or table with x_column, y_column; optional metrics, predict_x, probability_queries. $0.50 per call. Returns: source{}, n, alpha, confidence_level, metrics[], linear_regression{}, normal_distribution{}, p_values{}, prediction[], notes[], method.",
"tags": [
"statistics",
"regression",
"probability",
"prediction",
"confidence-interval"
],
"examples": [
"{\"skill\": \"hubvibe_predictive_probability_engine\", \"arguments\": {\"points\": [[1, 2.1], [2, 3.9], [3, 6.2], [4, 7.8], [5, 10.1]], \"predict_x\": [6], \"probability_queries\": [{\"below\": 8}]}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_chain_network",
"name": "Base network state",
"description": "Base network status and gas price: current block height and gas price (wei and gwei), live from a Base mainnet RPC node. Use it to check Base is moving, time an on-chain action or estimate gas before sending a transaction. Keyless, pay per call. No input needed. $0.02 per call. Returns: block_number, gas_price_wei, gas_price_gwei.",
"tags": [
"base",
"gas-price",
"block-height",
"blockchain",
"onchain"
],
"examples": [
"{\"skill\": \"hubvibe_chain_network\", \"arguments\": {}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_chain_address",
"name": "Base address report",
"description": "Base wallet lookup / address balance: ETH balance, transaction count (nonce) and whether the address is a smart contract or an ordinary wallet (EOA), live from Base mainnet in one call. Use it to check a counterparty, deposit address or contract before paying it. Input: address (0x...). For token balances or any other read use chain.rpc. $0.05 per call. Returns: balance_wei, balance_eth, transaction_count, is_contract, code_size_bytes.",
"tags": [
"base",
"wallet",
"balance",
"address-lookup",
"onchain"
],
"examples": [
"{\"skill\": \"hubvibe_chain_address\", \"arguments\": {\"address\": \"0x837C40E2B4e976f43Ffb4451eE281A00fA9477dd\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_chain_transaction",
"name": "Base transaction lookup",
"description": "Base transaction lookup by hash: sender, recipient, ETH value, block, success or failure, gas used and log count, with the receipt folded in, live from Base mainnet. Use it to confirm a payment or transfer landed on-chain. Input: hash (the 0x transaction hash). For the raw receipt use chain.rpc. $0.05 per call. Returns: from, to, value_eth, block_number, status, gas_used, log_count.",
"tags": [
"base",
"transaction",
"tx-lookup",
"receipt",
"payment-confirmation"
],
"examples": [
"{\"skill\": \"hubvibe_chain_transaction\", \"arguments\": {\"hash\": \"0x9e61e3fce3efad669a236b8d6a0351162c572808026d1a5ffdededd31caad113\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_market_quote",
"name": "Crypto spot quote",
"description": "Crypto price / live coin quote: spot price, 24-hour change and 24-hour volume for Bitcoin, Ethereum, Solana or any Coinbase product (BTC-USD, ETH-USD, SOL-USD...), read at call time from Coinbase's public market data. Use it when an agent needs a current cryptocurrency price. Input: product_id such as BTC-USD. Bid/ask: market.ticker. Whole rate table: market.rates. $0.02 per call. Returns: price, price_change_24h_pct, volume_24h, base/quote currency.",
"tags": [
"crypto-price",
"bitcoin",
"ethereum",
"solana",
"price"
],
"examples": [
"{\"skill\": \"hubvibe_market_quote\", \"arguments\": {\"product_id\": \"BTC-USD\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_market_prediction",
"name": "Prediction market probabilities",
"description": "Prediction market odds: live Polymarket markets on any topic (elections, Fed rate cuts, crypto, sports, AI, geopolitics) with the probability each outcome implies as a percentage, plus volume, liquidity and end date. Search by topic words or tickers (BTC, 'fed rate cut') or take the biggest markets. A topic no open market matches is refused free, never sold empty. Input: optional query, limit. One market by slug: prediction.market. $0.05 per call. Returns: markets[] with question, implied_probabilities[], volume, end_date.",
"tags": [
"prediction-market",
"polymarket",
"odds",
"probability",
"forecast"
],
"examples": [
"{\"skill\": \"hubvibe_market_prediction\", \"arguments\": {}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_extract_page",
"name": "Web page extraction",
"description": "Web scraping / web page to clean text: any URL rendered in a real browser (JavaScript pages included) and returned as readable text with title, description and links. Use it to read an article, docs page or product page before summarising or extracting. Input: url. Raw status, headers and body: fetch.raw. A question answered from the page: research.brief. $0.10 per call. Returns: title, description, text, text_chars, links[], javascript_rendered.",
"tags": [
"web-scraping",
"scrape",
"extract",
"html-to-text",
"browser"
],
"examples": [
"{\"skill\": \"hubvibe_extract_page\", \"arguments\": {\"url\": \"https://example.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_llm_analyze",
"name": "Analyse text",
"description": "Question answering over your own text: ask a question about material you supply and get an answer grounded only in that text (Gemini). If the text does not contain the answer it says so instead of guessing. Use it for summaries, Q&A and checks over documents, emails and pages. Input: text, question; optional language. Fixed JSON fields: llm.extract. $0.25 per call. Returns: answer, model, tokens{prompt,output}.",
"tags": [
"llm",
"summarize",
"question-answering",
"rag",
"grounded"
],
"examples": [
"{\"skill\": \"hubvibe_llm_analyze\", \"arguments\": {\"text\": \"HubVibe sells machine-payable site audits at $0.05 per call.\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_llm_extract",
"name": "Extract fields as JSON",
"description": "Structured data extraction / text to JSON: pull the fields you name out of any text into a JSON object with exactly those keys, null where the text does not state a value (Gemini, no invented values). Use it to turn emails, invoices, pages or documents into clean records. Input: text, fields[]. From a live web page: research.page_facts. $0.25 per call. Returns: fields{} with one key per requested field.",
"tags": [
"extraction",
"json",
"structured-output",
"parsing",
"llm"
],
"examples": [
"{\"skill\": \"hubvibe_llm_extract\", \"arguments\": {\"text\": \"HubVibe sells machine-payable site audits at $0.05 per call.\", \"fields\": [\"title\", \"pricing\"]}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_data_query",
"name": "Run a BigQuery query",
"description": "BigQuery SQL: run a read-only SQL query, including against Google's public datasets (Wikipedia, GitHub, blockchains, weather, census and more), and get columns and rows back as JSON with the bytes processed. Every query is dry-run first and refused above the scan ceiling, so cost is bounded before it runs. Input: sql; optional max_scan_gib. Ask in plain English instead: data.question. $0.50 per call. Returns: columns[], rows[], row_count, gib_processed, cache_hit.",
"tags": [
"sql",
"bigquery",
"database",
"public-datasets",
"analytics"
],
"examples": [
"{\"skill\": \"hubvibe_data_query\", \"arguments\": {\"sql\": \"SELECT name, SUM(number) AS n FROM `bigquery-public-data.usa_names.usa_1910_2013` GROUP BY name ORDER BY n DESC LIMIT 5\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_data_question",
"name": "Answer a question from a dataset",
"description": "Ask a database in plain English (text to SQL): any BigQuery table, including Google's public datasets. The SQL is written for you, run under a byte ceiling, and the rows are read back into a written answer, returned with the SQL, columns and rows it used. Use it for analytics questions without writing SQL. Input: question, table; optional columns. $5.00 per call. Returns: answer, sql, columns[], rows[], gib_processed.",
"tags": [
"text-to-sql",
"analytics",
"bigquery",
"natural-language-query",
"data-analysis"
],
"examples": [
"{\"skill\": \"hubvibe_data_question\", \"arguments\": {\"question\": \"What does it sell, and at what price?\", \"table\": \"bigquery-public-data.usa_names.usa_1910_2013\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_research_brief",
"name": "Research brief on a URL",
"description": "Summarize and analyze a web page: the URL is rendered in a real browser, its content extracted, and a written brief answering your question returned, grounded in that page only and saying so when the page does not answer. Use it for competitor pages, docs, articles and listings. Input: url; optional question. Fixed JSON fields: research.page_facts. Needs a web search: research.web. $5.00 per call. Returns: brief, title, final_url, source{}, model.",
"tags": [
"summarize",
"web-page",
"research",
"analysis",
"browser"
],
"examples": [
"{\"skill\": \"hubvibe_research_brief\", \"arguments\": {\"url\": \"https://example.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_research_page_facts",
"name": "Structured facts from a URL",
"description": "Structured facts from a web page / scrape to JSON: name the fields you need (pricing, plans, contact, product names, anything) and get exactly those keys back as JSON from the live page rendered in a real browser, null where the page does not say. Use it for price monitoring, lead data and catalog extraction. Input: url, fields[]. $5.00 per call. Returns: fields{} with one key per requested field, plus title and final_url.",
"tags": [
"web-scraping",
"structured-data",
"price-monitoring",
"lead-generation",
"json"
],
"examples": [
"{\"skill\": \"hubvibe_research_page_facts\", \"arguments\": {\"url\": \"https://example.com\", \"fields\": [\"title\", \"pricing\"]}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_market_intel",
"name": "Market intelligence read",
"description": "Crypto market sentiment in one call: live Coinbase spot price, live Polymarket probabilities and recent news headlines (GDELT) on the same subject, analysed together in a written summary that says what the numbers do and do not support. Use it for a quick read on Bitcoin, Ethereum or any coin. Input: optional product_id (BTC-USD...), query, question, limit. Market data only, not investment advice. $5.00 per call. Returns: spot{}, prediction_markets[], news[], news_note, analysis, disclaimer.",
"tags": [
"crypto",
"sentiment",
"market-analysis",
"bitcoin",
"polymarket"
],
"examples": [
"{\"skill\": \"hubvibe_market_intel\", \"arguments\": {}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_search_web",
"name": "Web search",
"description": "Web search with an answer: real-time search of Brave's independent web index, answered from the current results only, with every source URL and title returned, never the model's memory. Use it when an agent needs up-to-date information, latest news, prices or facts from the web. Input: query; optional language. Raw result list (SERP): search.results. Sources read in full with citations: research.web. $0.10 per call. Returns: query, answer, sources[{url,title}], search_queries_used[], model.",
"tags": [
"web-search",
"search",
"internet",
"real-time",
"brave"
],
"examples": [
"{\"skill\": \"hubvibe_search_web\", \"arguments\": {\"query\": \"x402 payment protocol\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_llm_generate",
"name": "Raw text completion",
"description": "LLM text generation / chat completion: a raw completion from your prompt with optional system message, max_tokens and temperature; Gemini by default, other configured models by provider and model. Use it for drafting, rewriting, translation, classification or any prompt, paid per call with no API key or account. Input: prompt. Answer grounded in your own text: llm.analyze. $0.25 per call. Returns: text, model, provider, finish_reason, usage{input_tokens,output_tokens}.",
"tags": [
"llm",
"text-generation",
"chat-completion",
"gemini",
"ai"
],
"examples": [
"{\"skill\": \"hubvibe_llm_generate\", \"arguments\": {\"prompt\": \"A beehive built from circuit boards, isometric illustration\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_code_execute",
"name": "Execute Python",
"description": "Run Python code in a sandbox: execute Python in Google's hosted sandbox (not on this service's machines) and get the code, its printed output and the outcome back. Use it for calculations, data transforms and checks an agent should not do in its head. Input: code. Questions over BigQuery data: data.query. $0.25 per call. Returns: code, output, outcome, summary, model.",
"tags": [
"python",
"code-execution",
"sandbox",
"compute",
"interpreter"
],
"examples": [
"{\"skill\": \"hubvibe_code_execute\", \"arguments\": {\"code\": \"print(sum(range(10)))\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_image_generate",
"name": "Generate an image",
"description": "AI image generation / text to image: one image from a text prompt with Google Imagen 4, returned as base64 image bytes with its MIME type. Use it for illustrations, thumbnails, product mockups and social images. Input: prompt; optional aspect_ratio. $0.50 per call. Returns: prompt, aspect_ratio, image_base64, mime_type, model.",
"tags": [
"image-generation",
"text-to-image",
"imagen",
"ai-art",
"illustration"
],
"examples": [
"{\"skill\": \"hubvibe_image_generate\", \"arguments\": {\"prompt\": \"A beehive built from circuit boards, isometric illustration\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_speech_synthesize",
"name": "Text to speech",
"description": "Text to speech (TTS): convert text to natural spoken MP3 audio with Google Cloud Text-to-Speech, returned as base64. Use it for voice replies, narration, audio versions of text and accessibility. Input: text; optional voice name. $0.25 per call. Returns: text_chars, voice, audio_base64, mime_type.",
"tags": [
"text-to-speech",
"tts",
"voice",
"audio",
"speech"
],
"examples": [
"{\"skill\": \"hubvibe_speech_synthesize\", \"arguments\": {\"text\": \"HubVibe sells machine-payable site audits at $0.05 per call.\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_speech_transcribe",
"name": "Speech to text",
"description": "Speech to text / audio transcription: transcribe up to 60 seconds or 10 MB of audio with Google Cloud Speech-to-Text and get the transcript with its confidence and detected language. Use it for voice notes, call snippets and clips. Input: audio_base64; optional language_code. Longer audio is refused before payment. $0.25 per call. Returns: transcript, language_code, confidence, model.",
"tags": [
"speech-to-text",
"transcription",
"stt",
"audio",
"voice"
],
"examples": [
"{\"skill\": \"hubvibe_speech_transcribe\", \"arguments\": {\"audio_base64\": \"aGVsbG8=\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_data_forecast",
"name": "Forecast a time series",
"description": "Time-series forecasting: forecast any BigQuery table with Google's pretrained TimesFM model (AI.FORECAST), nothing to train. Point it at the table, timestamp column and value column and get forecast rows with bounds for the horizon you set, per series with id_cols. Use it for sales, traffic, demand or metric forecasts. Input: table, timestamp_col, data_col; optional horizon, id_cols. $10.00 per call. Returns: table, timestamp_col, data_col, horizon, columns[], rows[], row_count, gib_processed.",
"tags": [
"forecasting",
"time-series",
"prediction",
"timesfm",
"bigquery"
],
"examples": [
"{\"skill\": \"hubvibe_data_forecast\", \"arguments\": {\"table\": \"bigquery-public-data.covid19_nyt.us_states\", \"timestamp_col\": \"date\", \"data_col\": \"confirmed_cases\", \"id_cols\": [\"state_name\"]}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_data_anomalies",
"name": "Detect anomalies in a time series",
"description": "Anomaly detection on a time series: score recent periods against history with BigQuery AI.DETECT_ANOMALIES (TimesFM). Give one table and its latest periods are scored against its own history, or a history and a target table. Returns every checked row with bounds, anomaly flag and probability, plus the anomaly count. Input: history_table, target_table, timestamp_col, data_col; optional target_last, threshold, id_cols. $10.00 per call. Returns: history_table, target_table, timestamp_col, data_col, anomaly_prob_threshold, mode, target_periods, columns[], rows[], row_count, anomaly_count, gib_processed.",
"tags": [
"anomaly-detection",
"outliers",
"time-series",
"monitoring",
"timesfm"
],
"examples": [
"{\"skill\": \"hubvibe_data_anomalies\", \"arguments\": {\"history_table\": \"bigquery-public-data.covid19_nyt.us_states\", \"target_table\": \"bigquery-public-data.covid19_nyt.us_states\", \"timestamp_col\": \"date\", \"data_col\": \"confirmed_cases\", \"id_cols\": [\"state_name\"]}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_verify_claims",
"name": "Verify claims against sources",
"description": "Fact check claims against sources: up to 10 claims checked against up to 4 source URLs you name; each comes back SUPPORTED, CONTRADICTED or UNSUPPORTED with the exact quote the verdict rests on. Use it to verify AI output, citations or statements before publishing. Input: claims[], sources[]. A question but no sources yet: research.web. $5.00 per call. Returns: claims[], verdicts[{claim,verdict,quote,source_n}], sources_read[], sources_unread[], model.",
"tags": [
"fact-check",
"verification",
"claims",
"citations",
"hallucination-check"
],
"examples": [
"{\"skill\": \"hubvibe_verify_claims\", \"arguments\": {\"claims\": [\"HubVibe sells machine-payable site audits.\"], \"sources\": [\"https://example.com\"]}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_research_web",
"name": "Research brief from live web search",
"description": "Deep web research with citations: search the live web for your question, read the top sources in full, and get a written answer with every claim tied to a numbered source. Use it when an agent needs a sourced answer, not a list of links. Input: question; optional max_sources. Quick answer with links: search.web. $5.00 per call. Returns: question, answer, sources[{n,url,title}], partial[], model.",
"tags": [
"research",
"deep-research",
"citations",
"web-search",
"report"
],
"examples": [
"{\"skill\": \"hubvibe_research_web\", \"arguments\": {\"question\": \"What does it sell, and at what price?\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_research_company",
"name": "Research and verify a company",
"description": "Company research report: what a company does, its products and anything notable, from the live web (official site and Wikipedia first) and recent GDELT news, every claim cited to a numbered source, thin or conflicting evidence disclosed. Use it for due diligence, sales prep and competitor research. Input: company name; optional max_sources. Structured firmographics in one cheap call: company.enrich. $10.00 per call. Returns: company, report, sources[{n,url,title}], partial[], news[], news_note, model.",
"tags": [
"company-research",
"due-diligence",
"competitor-analysis",
"sales-research",
"report"
],
"examples": [
"{\"skill\": \"hubvibe_research_company\", \"arguments\": {\"company\": \"Anthropic\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_agent_task",
"name": "Agent: get a task done",
"description": "HubVibe Agent (quick): hand it any task in plain words and get the finished result in one call. Research a company or a person of interest, check a website, screen a name, read the markets, compare options, pull the facts: you get a headline, the key points, the full answer, its sources and every tool step. Up to 4 steps. Charged only when the answer is delivered. Input: task; optional context, fields for a JSON answer, language. $2.75 per call. Returns: task, tier, headline, key_points[], answer, data, steps[{n,tool,input,ok,summary,seconds}], tools_used[], sources[], notes[].",
"tags": [
"ai-agent",
"task-automation",
"research",
"autonomous-agent",
"multi-tool"
],
"examples": [
"{\"skill\": \"hubvibe_agent_task\", \"arguments\": {\"task\": \"Find the official website of Anthropic and summarize what it sells, with sources.\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_agent_task_pro",
"name": "Agent Pro: a deeper task",
"description": "HubVibe Agent (pro): hand it any task in plain words and get the finished result in one call. Research a company or a person of interest, check a website, screen a name, read the markets, compare options, pull the facts: you get a headline, the key points, the full answer, its sources and every tool step. Up to 10 steps. Charged only when the answer is delivered. Input: task; optional context, fields for a JSON answer, language. $9.00 per call. Returns: task, tier, headline, key_points[], answer, data, steps[{n,tool,input,ok,summary,seconds}], tools_used[], sources[], notes[].",
"tags": [
"ai-agent",
"task-automation",
"research",
"autonomous-agent",
"multi-tool"
],
"examples": [
"{\"skill\": \"hubvibe_agent_task_pro\", \"arguments\": {\"task\": \"Find the official website of Anthropic and summarize what it sells, with sources.\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_agent_task_max",
"name": "Agent Max: the hardest tasks",
"description": "HubVibe Agent (max): hand it any task in plain words and get the finished result in one call. Research a company or a person of interest, check a website, screen a name, read the markets, compare options, pull the facts: you get a headline, the key points, the full answer, its sources and every tool step. Up to 20 steps. Charged only when the answer is delivered. Input: task; optional context, fields for a JSON answer, language. $20.00 per call. Returns: task, tier, headline, key_points[], answer, data, steps[{n,tool,input,ok,summary,seconds}], tools_used[], sources[], notes[].",
"tags": [
"ai-agent",
"task-automation",
"research",
"autonomous-agent",
"multi-tool"
],
"examples": [
"{\"skill\": \"hubvibe_agent_task_max\", \"arguments\": {\"task\": \"Find the official website of Anthropic and summarize what it sells, with sources.\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_monitor_snapshot",
"name": "Save a monitoring baseline",
"description": "Website change monitoring, step one: fetch a page and store it as the baseline to compare against later. Use it to watch pricing pages, terms, job boards or competitors. Input: url. Then call monitor.check to learn whether and how it changed. $0.50 per call. Returns: url, title, text_chars, content_hash, note.",
"tags": [
"monitoring",
"website-change",
"change-detection",
"watch",
"diff"
],
"examples": [
"{\"skill\": \"hubvibe_monitor_snapshot\", \"arguments\": {\"url\": \"https://example.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_monitor_check",
"name": "Check a page against its baseline",
"description": "Website change detection, step two: re-fetch a page saved with monitor.snapshot and get whether it changed, how old the baseline is, and a written summary of what changed. Use it to track price changes, terms updates, new job posts or competitor moves. Input: url; optional language. $0.50 per call. Returns: url, title, changed, baseline_age_seconds, change_summary, model.",
"tags": [
"monitoring",
"change-detection",
"website-change",
"diff",
"alerts"
],
"examples": [
"{\"skill\": \"hubvibe_monitor_check\", \"arguments\": {\"url\": \"https://example.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_commerce_availability",
"name": "Live availability: can this be bought or booked right now?",
"description": "Product availability and price check: is it in stock and buyable right now, at what price, in which options (sizes, colours, dates, rooms), which option matches the variant you name, quantity and ship-to eligibility where the page states them, with evidence and a checked_at stamp. Reads any product or booking page (schema.org, Open Graph, Shopify JSON; a browser only when needed). Input: url; optional variant, quantity, ship_to. $0.50 per call. Returns: available, availability, price, currency, options[], matched_option, quantity_ok, ship_to_ok, shipping, eligibility_notes[], evidence[], source, confidence, checked_at.",
"tags": [
"in-stock",
"availability",
"price-check",
"ecommerce",
"shopping"
],
"examples": [
"{\"skill\": \"hubvibe_commerce_availability\", \"arguments\": {\"url\": \"https://www.allbirds.com/products/mens-wool-runners\", \"variant\": \"size 10\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_market_stock",
"name": "Live stock quote and daily history",
"description": "Stock price / live stock quote for any US ticker: last price, change, day range, volume and market state, plus daily OHLCV history (1d to 5y), read at call time from Nasdaq's public data with Yahoo Finance as fallback. Every answer names its source, the source's timestamp, its delay in minutes and when it was read. Input: symbol (AAPL, NVDA...); optional range, include_history. $0.05 per call. Returns: symbol, name, exchange, currency, price, change, change_pct, previous_close, day_high, day_low, volume, market_state, as_of, delayed_minutes, history[], history_rows, source, checked_at.",
"tags": [
"stock-price",
"stock-quote",
"equities",
"ohlcv",
"market-data"
],
"examples": [
"{\"skill\": \"hubvibe_market_stock\", \"arguments\": {\"symbol\": \"AAPL\", \"range\": \"1mo\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_market_fundamentals",
"name": "SEC-filed fundamentals (XBRL company facts)",
"description": "SEC filings / company fundamentals: revenue, net income, diluted EPS, operating income, assets, liabilities, equity, cash and shares outstanding by quarter and year (10-K, 10-Q) as the company reported them to the SEC, from EDGAR's official XBRL API at call time. Name any other XBRL line item; restatements resolve to the latest filing. Input: symbol (US ticker) or cik; optional concepts, periods, forms. $0.05 per call. Returns: symbol, cik, entity_name, concepts{name: {concept, taxonomy, label, unit, values[]}}, concepts_missing[], periods, forms, as_of, source, checked_at.",
"tags": [
"sec-filings",
"fundamentals",
"earnings",
"financial-statements",
"edgar"
],
"examples": [
"{\"skill\": \"hubvibe_market_fundamentals\", \"arguments\": {\"symbol\": \"AAPL\", \"periods\": 4, \"forms\": [\"10-K\", \"10-Q\"]}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_market_insiders",
"name": "Insider trades from SEC Form 4 filings",
"description": "Insider trading (SEC Form 4): what a company's officers, directors and 10% owners bought and sold, parsed from their Form 4 filings at call time from EDGAR. Each trade: insider, role, date, code and meaning, shares, price, value, holdings after, 10b5-1 plan flag, filing link. Summary: open-market buys vs sells, net shares and dollars. Input: symbol (US ticker) or cik; optional days (default 90), codes such as [\"P\",\"S\"]. $0.10 per call. Returns: symbol, cik, issuer_name, window, codes, filings_read, transactions[] (insider, role, date, code, code_meaning, shares, price, value, shares_after, rule_10b5_1, filing_url), transaction_count, summary, as_of, notes[], source, checked_at.",
"tags": [
"insider-trading",
"form-4",
"sec",
"insider-buying",
"stocks"
],
"examples": [
"{\"skill\": \"hubvibe_market_insiders\", \"arguments\": {\"symbol\": \"NVDA\", \"days\": 90, \"codes\": [\"P\", \"S\"]}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_finance_analytics",
"name": "Trading mathematics: returns, risk, drawdown, VaR, beta, indicators, options, Kelly",
"description": "Trading and portfolio math: returns and CAGR, volatility, Sharpe and Sortino, max drawdown, VaR/CVaR, beta, alpha and correlation vs a benchmark, SMA/EMA, RSI, Bollinger bands, Black-Scholes option price with Greeks, and the Kelly fraction, over prices you send or a ticker fetched live. Deterministic, every formula named, no LLM. Input: prices or symbol; optional metrics, benchmark, option, kelly. $0.50 per call. Returns: source{}, n, n_returns, periods_per_year, metrics_computed[], returns{}, volatility{}, sharpe, sortino, drawdown{}, var{}, beta{}, moving_averages{}, rsi{}, bollinger{}, black_scholes{}, kelly{}, notes[], method, as_of, checked_at.",
"tags": [
"trading",
"technical-analysis",
"risk",
"sharpe-ratio",
"rsi"
],
"examples": [
"{\"skill\": \"hubvibe_finance_analytics\", \"arguments\": {\"prices\": [100, 101.5, 99.8, 102.2, 103.9, 103.1, 105.4, 104.2, 106.8, 108.0, 107.1, 109.5, 111.2, 110.4, 112.9, 114.3, 113.0, 115.8, 117.1, 116.2, 118.6, 120.0], \"risk_free_rate\": 0.04, \"windows\": {\"sma\": [5, 10], \"ema\": [5], \"rsi\": 14, \"bollinger\": 10}, \"option\": {\"type\": \"call\", \"strike\": 120, \"rate\": 0.04, \"time_to_expiry_years\": 0.5}, \"kelly\": {\"win_probability\": 0.55, \"win_loss_ratio\": 1.5}}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_opendata_search",
"name": "Search 16 government open-data portals for datasets",
"description": "Government open data search across 16 national portals in one call: Korea (data.go.kr), Japan, Hong Kong, Australia, UK, Canada, the EU catalog (139,000+ datasets), Germany, Italy, Ireland, Switzerland, Netherlands, Israel and Chile. Query in any language; each match returns organization, update time and download URLs ready for opendata.table. Portals that did not answer are listed. Input: query; optional region, limit, portals. $0.10 per call. Returns: query, region, portals_searched[], portals_ok[], portals_failed[], total_matches{}, results[{portal, title, description, organization, landing_url, resources[{url, format}]...}], result_count, checked_at.",
"tags": [
"open-data",
"government-data",
"datasets",
"public-data",
"statistics"
],
"examples": [
"{\"skill\": \"hubvibe_opendata_search\", \"arguments\": {\"query\": \"\\uc778\\uad6c\", \"region\": \"kr\", \"limit\": 5}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_opendata_table",
"name": "Read a government dataset file as JSON rows",
"description": "Dataset file to JSON rows: a CSV, TSV, XLSX or JSON link from any portal, an e-Stat (Japan) download or a data.go.kr (Korea) dataset page. Encoding detected (Korean, Japanese, Chinese, UTF and Western code pages), header row found, numbers typed, XLSX sheets selectable, large files capped and disclosed. Use it after opendata.search or on any data file URL. Input: url; optional max_rows, sheet, encoding, delimiter. $0.10 per call. Returns: source_url, resolved_from, file_url, final_url, filename, content_type, bytes, format, encoding, sheet, sheets[], columns[], column_count, rows[{...}], row_count, total_rows, truncated, notes[], checked_at.",
"tags": [
"csv-to-json",
"xlsx",
"data-parsing",
"open-data",
"spreadsheet"
],
"examples": [
"{\"skill\": \"hubvibe_opendata_table\", \"arguments\": {\"url\": \"https://www.data.go.kr/data/15005995/fileData.do\", \"max_rows\": 5}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_search_results",
"name": "Web and news results in any language and country (Brave index)",
"description": "Web search API / SERP results: raw web and news results from Brave's independent index in any language and country, with title, URL, description, age and extra snippets (headline, source and age for news). Filter by country, language and freshness (day, week, month, year). Results, not an answer: pick what to read next with extract.page. Input: query; optional country, language, count, freshness, news. $0.25 per call. Returns: query, country, language, freshness, web[{title, url, description, age, page_age, language, site_name, hostname, extra_snippets[]}], web_count, news[{title, url, description, age, page_age, source, breaking}], news_count, more_results_available, source, notes[], checked_at.",
"tags": [
"serp",
"web-search-api",
"search-results",
"news-search",
"brave"
],
"examples": [
"{\"skill\": \"hubvibe_search_results\", \"arguments\": {\"query\": \"\\u6771\\u4eac \\u5929\\u6c17\\u4e88\\u5831\", \"country\": \"JP\", \"language\": \"ja\", \"count\": 5}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_news_search",
"name": "Current news on any topic, in any language",
"description": "News search API: current news on any topic in any language from the GDELT Project, which reads the world's press every 15 minutes. Titles matched in their original script, newest first, with publisher, language and link; filter to one language; a US stock ticker searches the company's name. Window up to 30 days (default 72 hours). Input: query and/or symbol; optional language, limit, since_hours. $0.25 per call. Returns: query, symbol, language, edition{}, sources_searched[], sources_ok[], sources_failed[], articles[{title, url, source_name, source_url, published_at, summary, feed}], article_count, limit, since_hours, notes[], checked_at.",
"tags": [
"news",
"news-api",
"headlines",
"current-events",
"gdelt"
],
"examples": [
"{\"skill\": \"hubvibe_news_search\", \"arguments\": {\"query\": \"\\u534a\\u5c0e\\u4f53\", \"language\": \"ja\", \"limit\": 5}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_data_macro",
"name": "Official economic statistics for a country",
"description": "Economic data / macro indicators for any country, live: GDP, growth, GDP per capita, inflation (CPI), unemployment, population, interest rates, exchange rate, debt, trade, FDI or any World Bank indicator code. Annual for 200+ economies from the World Bank; monthly EU inflation and unemployment from Eurostat. Returns the series, latest and previous values, the change and the source's update stamp. Input: indicator, country; optional last, frequency. $0.10 per call. Returns: indicator{alias, code, name, unit}, country{code, name}, frequency, source, observations[{period, value}], observation_count, latest{}, previous{}, change{absolute, pct}, as_of, source_url, notes[], checked_at.",
"tags": [
"economic-data",
"macroeconomics",
"gdp",
"inflation",
"unemployment"
],
"examples": [
"{\"skill\": \"hubvibe_data_macro\", \"arguments\": {\"indicator\": \"inflation\", \"country\": \"JP\", \"last\": 5}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_email_verify",
"name": "Verify an email address before you send",
"description": "Email verification / email validation: will mail to this address arrive? Checked live at the source: syntax, the domain's DNS (MX, null MX, no such domain) and its own mail server, asked whether the mailbox exists and whether it accepts any address (catch-all). No message sent. Flags disposable domains, role accounts (info@), free providers and typos (gmial.com). Verdict: deliverable, undeliverable, risky or unknown, with the reason. Input: email. $0.02 per call. Returns: email, normalized, local_part, domain, domain_ascii, verdict, reason, syntax_valid, domain_exists, accepts_mail, mx[{host, priority}], mail_provider, mailbox{checked, exists, catch_all, smtp_code, smtp_message, mx_host}, disposable, role_account, free_provider, did_you_mean, disposable_list_as_of, notes[], checked_at.",
"tags": [
"email-verification",
"email-validation",
"deliverability",
"disposable-email",
"lead-validation"
],
"examples": [
"{\"skill\": \"hubvibe_email_verify\", \"arguments\": {\"email\": \"support@github.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_property_context",
"name": "Everything the public record says about a US address",
"description": "Real estate data for any US address: FEMA flood and 17 other hazard risk ratings with expected annual loss, median home value, rent, income, ownership and vacancy (Census), price trend (FHFA), fair market rents (HUD), nearby public schools (NCES), walkability (EPA) and Superfund sites nearby, plus tract, county, ZIP and districts, all from federal sources in one call. Input: address, or lat and lng. $0.25 per call. Returns: input{}, matched_address, lat, lng, geography{state, county, tract, zip, metro, congressional_district, school_district...}, flood{zone, special_flood_hazard_area...}, hazard_risk{overall_rating, hazards{}, notice...}, housing{median_home_value, median_gross_rent...}, price_trend{}, fair_market_rent{zip{}...}, schools[], walkability{}, superfund_sites[], sources[], sections_failed[], notes[], checked_at.",
"tags": [
"real-estate",
"property-data",
"flood-risk",
"home-value",
"neighborhood"
],
"examples": [
"{\"skill\": \"hubvibe_property_context\", \"arguments\": {\"address\": \"4600 Silver Hill Rd, Washington, DC 20233\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_travel_flight_status",
"name": "Flight and airport status right now",
"description": "Flight status and airport delays, live: by airport code, FAA ground stops and delay programs with average and max delay (US), live departure and arrival boards with gates and status (Norway), current METAR and TAF weather (any ICAO airport) and aircraft overhead; by callsign, the aircraft's live position, altitude and speed. Input: airport (IATA or ICAO) or callsign; optional flight, direction, hours_ahead. $0.25 per call. Returns: query{}, airport{iata, icao, name, city, country, lat, lon}, delays{status, ground_stop, ground_delay, closure, arrival_delay, departure_delay, runways, notices}, board{departures[], arrivals[], attribution}, weather{metar, taf, flight_category...}, aircraft[], aircraft_scope, coverage{}, attribution[], sections_failed[], notes[], checked_at.",
"tags": [
"flight-status",
"airport-delays",
"flight-tracker",
"aviation",
"metar"
],
"examples": [
"{\"skill\": \"hubvibe_travel_flight_status\", \"arguments\": {\"airport\": \"OSL\", \"hours_ahead\": 2}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_company_enrich",
"name": "Company profile from a domain or a name",
"description": "Company enrichment / firmographics by domain or name: legal and common name, founded, headcount with date, industries, headquarters, parent, CEO and founders, stock listings, LEI, SEC CIK, registration number, legal form and status, official social accounts and logo. Sources: Wikidata, the global LEI register, SEC EDGAR and the company's own site; every field names its source. Input: domain or name. $0.05 per call. Returns: query{}, company{name, legal_name, description, website, domain, founded, employees{count, as_of, source}, industries[], headquarters{city, country, country_code, address}, parent, ceo, founders[], logo_url, status, legal_form, jurisdiction}, identifiers{wikidata, lei, cik, registration_number, listings[], sec_tickers[], sic...}, socials{x, linkedin, facebook, instagram, github, youtube}, sources[], field_sources{}, notes[], checked_at.",
"tags": [
"company-enrichment",
"firmographics",
"company-data",
"lead-enrichment",
"b2b"
],
"examples": [
"{\"skill\": \"hubvibe_company_enrich\", \"arguments\": {\"domain\": \"stripe.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_sanctions_screen",
"name": "Screen a name against US, UK and EU sanctions lists",
"description": "Sanctions screening (AML/KYC): screen a person, company, vessel or aircraft against the OFAC SDN and consolidated lists, the UK Sanctions List and the EU financial sanctions list, read from the governments' own files with each list's date returned. Fuzzy and word-order free: aliases and typos match, a different surname does not. Each hit: list, programmes, countries, birth dates, UN reference. Input: name; optional type, country, birth_year. $0.05 per call. Returns: query{}, verdict (potential_match | no_match), match_count, matches[{list, list_name, id, name, matched_name, score, type, programs[], countries[], birth_dates[], un_reference, listed_on, source_url}], lists[{list, name, publisher, license, source_url, as_of, entries, loaded}], notes[], checked_at.",
"tags": [
"sanctions-screening",
"aml",
"kyc",
"ofac",
"compliance"
],
"examples": [
"{\"skill\": \"hubvibe_sanctions_screen\", \"arguments\": {\"name\": \"Rosneft\", \"type\": \"entity\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_phone_parse",
"name": "Phone number intelligence: valid, where, which network, what type",
"description": "Phone number validation and lookup: valid or not, country and area, the carrier the range was issued to, line type (mobile, landline, toll-free, VoIP, premium), time zones and E.164, international and national formats, from Google's libphonenumber numbering plans. Nothing is dialled and the owner is never looked up. Input: number; optional region for a national-format number. $0.02 per call. Returns: input{}, valid, possible, e164, international, national, country_code, region, country, location, carrier, line_type, time_zones[], metadata_version, notes[], checked_at.",
"tags": [
"phone-validation",
"phone-lookup",
"carrier-lookup",
"e164",
"line-type"
],
"examples": [
"{\"skill\": \"hubvibe_phone_parse\", \"arguments\": {\"number\": \"+44 20 7031 3000\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_ip_lookup",
"name": "IP address lookup: location, network owner, reverse DNS",
"description": "IP geolocation / IP address lookup: city, region, country and coordinates, the network's ASN and organisation, reverse DNS, and whether the address is public, private or reserved. IPv4 and IPv6. Location data from DB-IP Lite (CC BY 4.0, credited), updated monthly; location is the network's registered place, never a street address. Input: ip. $0.02 per call. Returns: ip, version, scope, reverse_dns[], location{city, region, country, country_code, continent, latitude, longitude}, network{asn, organization}, database_month, attribution{text, url, license}, notes[], checked_at.",
"tags": [
"ip-geolocation",
"ip-lookup",
"asn",
"geoip",
"fraud-detection"
],
"examples": [
"{\"skill\": \"hubvibe_ip_lookup\", \"arguments\": {\"ip\": \"8.8.8.8\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_domain_dns",
"name": "Domain DNS, email security and TLS certificate",
"description": "DNS lookup and domain health check: A, AAAA, CNAME, MX, NS, TXT, CAA and SOA records asked of the source, SPF and DMARC email policy parsed, and the HTTPS certificate verified like a browser (issuer, names, expiry, days left, TLS version). Flags missing SPF or DMARC, duplicate SPF and certificates near expiry. Input: domain (a URL is accepted). $0.05 per call. Returns: domain, domain_ascii, exists, records{a[], aaaa[], cname[], mx[], ns[], txt[], caa[], soa[]}, email_security{spf{record, all, multiple}, dmarc{record, policy, subdomain_policy, percent, reports_to}}, tls{reachable, valid, error, ip, protocol, subject, issuer, names[], not_before, not_after, days_remaining}, notes[], checked_at.",
"tags": [
"dns-lookup",
"domain",
"ssl-certificate",
"spf",
"dmarc"
],
"examples": [
"{\"skill\": \"hubvibe_domain_dns\", \"arguments\": {\"domain\": \"github.com\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_identity_check",
"name": "Identity check: sanctions, email, phone and IP in one call",
"description": "KYC screening / identity risk check in one call: a name screened against OFAC, UK and EU sanctions; an email's mailbox, disposable and role checks; a phone's validity, country and line type; an IP's country and network. Returns each result, fraud flags (sanctions hit, disposable email, VoIP, countries that disagree) and one risk level: low, review or high. Use it before onboarding a user or counterparty. Input: any of name, email, phone, ip; optional country, birth_year. $0.10 per call. Returns: input{}, risk (low | review | high), flags[{code, severity, detail}], checks{sanctions, email, phone, ip}, checks_run[], checks_failed[], notes[], checked_at.",
"tags": [
"identity-verification",
"kyc",
"fraud-detection",
"onboarding",
"aml"
],
"examples": [
"{\"skill\": \"hubvibe_identity_check\", \"arguments\": {\"name\": \"Jane Smith\", \"email\": \"jane@stripe.com\", \"phone\": \"+44 20 7031 3000\", \"ip\": \"8.8.8.8\", \"country\": \"GB\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_commerce_shipping",
"name": "Shipping options, eligibility and cart total for a product",
"description": "Shipping cost and delivery check for any Shopify store: the variant goes into a real cart session and the store quotes its shipping options to your destination. Returns options with prices and days, eligibility (or the store's reason, or the address fields still needed), subtotal and total before tax. No order is placed. Input: url, ship_to{country, province, postal_code}; optional variant, quantity. $0.50 per call. Returns: url, store{platform, domain, currency}, product{id, title, handle}, variant{id, name, sku, price, available, requires_shipping}, quantity, ship_to{}, cart{subtotal, total, currency, item_count, requires_shipping}, eligible, eligibility_reasons[], missing_fields[], shipping_options[{name, price, currency, delivery_days_min, delivery_days_max, description, carrier}], cheapest_shipping{}, estimated_total{}, taxes_note, source, notes[], checked_at.",
"tags": [
"shipping",
"shipping-cost",
"shopify",
"ecommerce",
"checkout"
],
"examples": [
"{\"skill\": \"hubvibe_commerce_shipping\", \"arguments\": {\"url\": \"https://www.allbirds.com/products/mens-wool-runners\", \"variant\": \"size 10\", \"ship_to\": {\"country\": \"US\", \"province\": \"NY\", \"postal_code\": \"10001\"}}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_traffic_route",
"name": "Traffic-aware travel time and distance between two places",
"description": "Travel time with live traffic between two places, from the Google Routes API at call time: duration with traffic, duration without, the delay, distance, route description, warnings and advisories. Places as addresses, names or 'lat,lng'. Use it for ETAs, delivery windows and trip planning. Input: origin, destination; optional travel_mode, departure_time, traffic. $0.10 per call. Returns: origin, destination, travel_mode, traffic, departure_time, distance_meters, duration_seconds, static_duration_seconds, delay_seconds, duration_text, static_duration_text, distance_text, description, warnings[], advisory, source, as_of, checked_at.",
"tags": [
"traffic",
"eta",
"travel-time",
"routing",
"commute"
],
"examples": [
"{\"skill\": \"hubvibe_traffic_route\", \"arguments\": {\"origin\": \"Ferry Building, San Francisco, CA\", \"destination\": \"Oakland City Hall, Oakland, CA\", \"travel_mode\": \"DRIVE\", \"traffic\": \"aware\"}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_video_youtube",
"name": "YouTube search and video statistics, live",
"description": "YouTube search and video stats, live: search YouTube or look up videos by id, each with title, channel, upload time, duration, views, likes, comments, live flag and thumbnail from the YouTube Data API at call time. Sort by relevance, date, views or rating; filter by upload date, country and language. Input: query or video_ids; optional max_results, order, published_after, region_code. $0.05 per call. Returns: query, video_ids, total_results, items[{video_id, url, title, description, channel_id, channel_title, published_at, duration_seconds, view_count, like_count, comment_count, live, thumbnail_url}], item_count, source, as_of, checked_at.",
"tags": [
"youtube",
"video-search",
"video-stats",
"views",
"social-media"
],
"examples": [
"{\"skill\": \"hubvibe_video_youtube\", \"arguments\": {\"query\": \"open source licensing\", \"max_results\": 3}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_social_bluesky",
"name": "Bluesky profile, posts, account search or thread, live",
"description": "Bluesky data, live and keyless: a profile with its latest posts and engagement (likes, reposts, replies, quotes), an account search, or a post thread with its replies, from the public AppView. Use it for social listening and influencer checks on Bluesky. Input: mode (profile, search_actors, thread) with actor, query or uri; optional posts, limit, depth. $0.05 per call. Returns: mode, actor, query, uri, profile{}, posts[], actors[], thread{}, post_count, actor_count, source, as_of, checked_at.",
"tags": [
"bluesky",
"social-media",
"social-listening",
"posts",
"profiles"
],
"examples": [
"{\"skill\": \"hubvibe_social_bluesky\", \"arguments\": {\"mode\": \"profile\", \"actor\": \"bsky.app\", \"posts\": 3}}"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "hubvibe_social_mastodon",
"name": "Mastodon hashtag timeline, account, search or trends, live",
"description": "Mastodon data, live and keyless (any public instance): a hashtag timeline, an account with its latest posts, account or hashtag search, or trending hashtags, each post with text, counts, media and tags. Use it for social listening and trend tracking in the fediverse. Input: mode (hashtag, account, search, trends) with tag, acct or query; optional instance, limit. $0.05 per call. Returns: mode, instance, tag, acct, query, kind, account{},
… truncated here: the card is 77,261 characters as printed. The complete card is published at https://hubvibe-io.com/.well-known/agent-card.json.