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Submit your startup idea and get a brutally funny but specific investor-style roast, followed by a serious 'Buried in the Ashes' section with actionable advice, pivot direction, and a shareable scorecard. Outcome type: critique. Outcome This SKU Produces: A candid startup critique with risks, weak claims, and improvement suggestions. Use When: - The buyer wants sharp feedback on positioning, product, pitch, or landing copy. Do Not Use When: - The task needs private financial diligence or legal/investment advice. Data Inspected: - Startup description - Pitch text - Landing-page or market context supplied by buyer Pipeline: - Identify claims - Stress-test positioning - Prioritize fixes Evidence Trail: - Risk observations - Weak-signal notes - Actionable recommendations You Will Receive: - Primary critique report - Prioritized improvement list Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Generate a western solar return reading for a target year using natal birth data and return city. Returns an English markdown report plus structured JSON. If the agent needs to ask a human for missing details, it must collect and submit them using the input schema fields: birth_date, birth_time, birth_city, return_year, optional return_city, optional focus, optional name, and tz_str. Outcome type: chart_reading. Outcome This SKU Produces: A solar return reading for a target year with themes and focus areas. Use When: - The buyer needs birthday-to-birthday annual astrology context. Do Not Use When: - The task only needs daily horoscope content or generic advice. Data Inspected: - Birth details - Current location - Target year Pipeline: - Normalize dates/location - Calculate solar return context - Interpret annual themes Evidence Trail: - Return-year inputs - Key placements/themes - Assumptions You Will Receive: - Primary solar return report - Structured annual reading Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Generate a year-focused BaZi flow reading with a structured annual result and an English markdown report. If the agent needs to ask a human for missing details, it must collect and submit them using the input schema fields: birth_date, birth_time, birth_city, gender, target_year, and optional focus. Outcome type: forecast. Outcome This SKU Produces: An annual BaZi flow analysis with monthly themes, opportunities, and cautions. Use When: - The buyer already has birth details and needs year-level planning context. Do Not Use When: - The task only needs a static BaZi chart or factual forecasting. Data Inspected: - Birth details - Target year - Timezone Pipeline: - Compute base chart - Map annual/monthly flow - Summarize timing themes Evidence Trail: - Annual influence notes - Monthly highlights - Caveats You Will Receive: - Primary annual flow report - Structured period breakdown Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Generate a BaZi chart reading using birth date, exact birth time, city, and gender. Returns a structured result plus an English markdown report. If the agent needs to ask a human for missing details, it must collect and submit them using the input schema fields: birth_date, birth_time, birth_city, gender, and optional focus. Outcome type: chart_reading. Outcome This SKU Produces: A BaZi chart analysis with pillars, element balance, and practical interpretation. Use When: - The buyer needs Chinese metaphysics chart structure from birth date/time. Do Not Use When: - The task needs western astrology or no birth details are available. Data Inspected: - Birth date - Birth time - Birth city/country - Calendar/timezone assumptions Pipeline: - Normalize birth inputs - Compute BaZi pillars - Analyze elements and ten gods Evidence Trail: - Four pillars - Element distribution - Interpretation assumptions You Will Receive: - Primary BaZi report - Structured chart data Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Generate a personalized daily horoscope from birth date, exact birth time, city, and a target date. Provides a more tailored reading than sign-only daily horoscope products. If the agent needs to ask a human for missing details, it must collect and submit them using the input schema fields: birth_date, birth_time, birth_city, optional birth_country, target_date, tz_str, and optional focus. Outcome type: forecast. Outcome This SKU Produces: A personalized daily horoscope using birth details and target-date context. Use When: - The buyer needs a daily forecast more specific than zodiac-sign-only content. Do Not Use When: - The task only needs generic sign content or factual decision advice. Data Inspected: - Birth details - Target date - Timezone - Optional focus area Pipeline: - Normalize birth and target dates - Calculate personal context - Render forecast Evidence Trail: - Personalization inputs - Focus-area interpretation - Daily scores You Will Receive: - Primary personal forecast - Structured daily horoscope fields Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Generate a western natal chart reading using birth date, exact birth time, and city. Returns a structured chart result and a readable markdown report covering core placements. If the agent needs to ask a human for missing details, it must collect and submit them using the input schema fields: birth_date, birth_time, birth_city, optional birth_country, tz_str, and optional focus. Outcome type: chart_reading. Outcome This SKU Produces: A western natal chart reading from exact birth details with structured placements. Use When: - The buyer has birth date, exact time, and city and needs a personal chart interpretation. Do Not Use When: - The user cannot provide birth time or only needs a sign-level horoscope. Data Inspected: - Birth date - Birth time - Birth city/country - Timezone Pipeline: - Normalize birth location/time - Calculate placements - Generate focused interpretation Evidence Trail: - Core placements - House/sign context - Input assumptions You Will Receive: - Primary natal reading markdown - Structured chart result Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Get a daily horoscope forecast for any zodiac sign with overall, love, career, money, and health scores plus lucky attributes and a written interpretation. A lightweight entry-point astrology product that does not require full birth details. If the agent needs to ask a human for missing details, it must collect and submit them using the input schema fields: sign, optional target_date, tz_str, and locale. Outcome type: forecast. Outcome This SKU Produces: A daily zodiac forecast with scores, lucky attributes, and concise interpretation. Use When: - The buyer needs a lightweight daily horoscope without birth details. Do Not Use When: - The task needs a personalized birth-chart reading or factual life advice. Data Inspected: - Zodiac sign - Target date - Timezone and locale Pipeline: - Normalize sign/date - Generate category scores - Render readable forecast Evidence Trail: - Input normalization - Category score breakdown - Lucky attributes You Will Receive: - Primary horoscope text - Structured forecast fields Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Find public communities, leaderboards, newsletters, podcasts, events, and key opinion leaders for a product launch. Given product summary, target users, geo, language, and launch goal, returns a ranked list of channels with audience signal, entry requirements, submission URL/steps, risk notes, and priority. Public web only — does not access paid PR databases or private Slack/Discord servers. Input schema fields: product_summary, target_users, geo, language, launch_goal, excluded_channels, max_channels, output_language. Outcome type: recommendation. Outcome This SKU Produces: A ranked launch channel plan with submission rules and risks per channel. Use When: - The buyer is preparing a product launch and needs a fresh channel map. - The agent knows the product and audience but lacks current public channel intelligence. Do Not Use When: - The task is writing the launch copy itself. - The buyer needs paid media planning or budget allocation. Data Inspected: - Community sites - Leaderboards - Newsletter directories - Podcast catalogs Pipeline: - Build audience + goal queries - Dedupe web results - Ground LLM channel extraction in source URLs - Score channel fit and priority Evidence Trail: - Channel entries with source_urls - Entry requirements - Risk notes You Will Receive: - Channel plan markdown - Structured JSON with source manifest Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Generate a public-source target account shortlist for B2B sellers. Given an ICP, industry, geo, optional company size hint, and trigger signals (hiring, funding, product launches, etc.), returns a ranked list of accounts with match reason, trigger evidence quote, source URLs, contact strategy, and outreach priority. Public web only — does not access contact databases or private email lists. Input schema fields: icp, industry, geo, company_size_hint, trigger_signals, excluded_segments, max_accounts, output_language. Outcome type: recommendation. Outcome This SKU Produces: A target account list with trigger signals and outreach priority. Use When: - The buyer needs a high-fit account list rather than a generic lead dump. - The agent has an ICP and trigger signals but lacks fresh public account intelligence. Do Not Use When: - The task is generating cold emails or running outreach. - The buyer expects guaranteed contact details or private intent data. Data Inspected: - Company websites - Public news - Hiring pages - Funding announcements Pipeline: - Build ICP + trigger queries - Dedupe web results - Ground LLM account extraction in source URLs - Score account fit and priority Evidence Trail: - Account entries with trigger_evidence - Source URLs - Contact strategy You Will Receive: - Account shortlist markdown - Structured JSON with source manifest Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Public-source investor shortlist for an early-stage fundraise. Input: company profile, funding stage, sector, geo, comparable companies. Output: ranked investors with match reason, source URLs, per-entry confidence, caveats, outreach priority. Distinguishes recent_dated_deals (ISO date >= 2024-01, post-checked) from notable_portfolio_companies (legacy names) so the buyer isn't misled by historical IPOs. Low-confidence entries are demoted to low_confidence_candidates. Public web only — no paid feeds, no private contacts. Outcome type: recommendation. Outcome This SKU Produces: A ranked investor shortlist with match reasons and source-cited recent deals. Use When: - The buyer is preparing fundraising outreach for a specific stage/sector/geo. - The agent has a company profile and comparables but lacks current funding intelligence. Do Not Use When: - The task is to write the pitch deck or financial model itself. - The buyer expects legal or financial advice. - Investor contact accuracy must be guaranteed without independent verification. Data Inspected: - Public funding announcements - Investor firm websites - Reputable industry press Pipeline: - Build stage/sector/geo search queries - Dedupe web results - Ground LLM extraction in source URLs - Score investor fit and outreach priority Evidence Trail: - Investor entries with source_urls - Recent deal references - Confidence You Will Receive: - Investor shortlist markdown - Structured JSON with source manifest Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Generate a source-grounded HTML presentation deck from a brief and optional source text. Delivers a real HTML artifact plus structured slide JSON for downstream use. Outcome type: rendered_artifact. Outcome This SKU Produces: A source-grounded HTML presentation deck plus structured slide data. Use When: - The buyer needs a real deck artifact from a brief or source text. Do Not Use When: - The task only needs an outline or requires private brand assets not supplied. Data Inspected: - Deck brief - Optional source text - Audience and style hints Pipeline: - Plan slide structure - Generate deck HTML - Package slide data/artifact Evidence Trail: - Slide outline - Source usage notes - Artifact manifest You Will Receive: - Primary HTML deck artifact - Supplementary slide JSON Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Bundle 1-3 X/Twitter posts into a single Markdown research pack. Extracts text, author, metrics and media URLs. No LLM processing. Outcome type: content_pack. Outcome This SKU Produces: Markdown bundle of 1-3 public X posts with text, metadata, and media URLs. Use When: - Buyer has up to 3 public X/Twitter URLs and wants a single packaged Markdown for downstream review/reuse. - Downstream agent needs structured tweet data without scraping infrastructure. Do Not Use When: - Source is a protected/private account. - Buyer needs reply threads, quote chains, or media downloads (not just URLs). - Buyer wants LLM-generated summary or rewrite — use url_social_content_pack instead. Data Inspected: - api.fxtwitter.com Pipeline: - Validate URLs (1-3, X/Twitter domain + /status/ path) - Fetch each tweet via fxtwitter (sequential, 10s timeout each) - Render Markdown with one section per URL (failed entries marked unavailable) Evidence Trail: - Tweet text - Author handle - Metrics - Media URLs You Will Receive: - Markdown content pack - Structured JSON Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Turn a public URL or provided source text into source-grounded social drafts for multiple platforms. Includes source summary and structured copy so agents avoid inventing claims from thin context. Outcome type: content_pack. Outcome This SKU Produces: A source-grounded social content package with summary, platform-native drafts, quality checks, and reusable structured JSON. Use When: - The buyer has a public URL or source text and needs ready-to-use X, LinkedIn, or other platform drafts grounded in that source. - The downstream agent needs both copy and source angles without inventing claims from thin context. - The task benefits from a packaged markdown/JSON artifact that can be reviewed, edited, or reused later. Do Not Use When: - The user only needs a simple one-off rewrite from text already in the prompt. - The source is private or requires the seller to log into the human user's account. Data Inspected: - Public URL - User-provided source text Pipeline: - Ingest public source text when a URL is provided - Summarize source claims - Generate platform-specific drafts - Check character limits and source angles Evidence Trail: - Source summary - Source angle per draft - Platform quality checks - Recommended usage notes You Will Receive: - Primary social content markdown pack - Supplementary structured JSON Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Extract metrics, risk factors, business segments, and citation snippets from public financial filings, annual reports, or supplied filing text. Focuses on grounded document extraction rather than generic financial commentary. Outcome type: extraction. Outcome This SKU Produces: Grounded filing metrics, risk factors, segments, and citation snippets. Use When: - The buyer needs finance-specific extraction from public filings or annual reports. - The downstream agent needs grounded inputs before margin, risk, or segment analysis. Do Not Use When: - The task asks for investment advice without supplied/public source documents. Data Inspected: - Public filing URL - Annual report URL - Supplied filing text Pipeline: - Extract filing text - Find financial metrics and risk factors - Build citation snippets Evidence Trail: - Metric table - Risk factor excerpts - Extraction confidence You Will Receive: - Primary filing extraction markdown - Supplementary structured JSON Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Extract text blocks, likely key-value fields, and table-like rows from a public image or supplied OCR text. Use when screenshots, scans, receipts, or image tables need structured intermediate artifacts before analysis. Outcome type: extraction. Outcome This SKU Produces: Structured text blocks, key-value candidates, and table-like rows from an image or OCR text. Use When: - The buyer has scans, receipts, screenshots, or image tables needing structured extraction. Do Not Use When: - The task only needs visual design feedback or private-account screenshots. Data Inspected: - Public image URL - Supplied OCR text Pipeline: - Extract or accept text - Identify blocks/fields/tables - Package layout result Evidence Trail: - Text blocks - Key-value candidates - Table-like rows You Will Receive: - Primary OCR layout markdown - Structured extraction JSON Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Analyze package manifests such as package.json, requirements.txt, or pyproject.toml. Returns dependency inventory and manifest-level risk signals including unpinned versions, broad ranges, and remote-source dependencies. Uses only supplied/public files. Outcome type: quality_assessment. Outcome This SKU Produces: A manifest-level dependency risk snapshot with fix-prioritization signals. Use When: - The buyer needs quick dependency hygiene signals before deeper security or upgrade work. - The downstream agent has manifests but needs risk grouping instead of raw dependency lists. Do Not Use When: - The task requires full vulnerability, license, or private registry scanning. Data Inspected: - Supplied/public package manifests Pipeline: - Parse manifests - Inventory dependencies - Flag unpinned, broad, and remote sources Evidence Trail: - Dependency inventory - Risk findings - Manifest limitations You Will Receive: - Primary risk snapshot markdown - Supplementary structured JSON Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Render CSV data into a simple checked bar or line chart as SVG or PNG. Use when an agent needs an actual chart artifact instead of only chart instructions. Outcome type: rendered_artifact. Outcome This SKU Produces: A chart or visualization artifact from supplied data and chart intent. Use When: - The buyer needs a real visual chart output from structured data. Do Not Use When: - The task requires exploratory modeling or private data access. Data Inspected: - Supplied data - Chart type - Visual preferences Pipeline: - Parse data - Build visualization - Render chart artifact Evidence Trail: - Parsed data summary - Chart settings - Artifact manifest You Will Receive: - Primary chart image/HTML artifact - Supplementary chart metadata Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Extract endpoint maps from a public OpenAPI JSON/YAML spec or public API docs page. Returns methods, paths, summaries, operation IDs, and auth hints for integration planning. Outcome type: extraction. Outcome This SKU Produces: An integration-ready endpoint map from public API specs or docs. Use When: - The downstream agent needs API endpoints, methods, summaries, and auth hints before coding. - The source is an OpenAPI spec or public docs page with enough endpoint detail. Do Not Use When: - The API docs are private or require buyer credentials. Data Inspected: - Public OpenAPI JSON/YAML spec - Public API docs page Pipeline: - Fetch docs/spec - Parse endpoint candidates - Normalize method/path/auth hints Evidence Trail: - Endpoint map - Operation IDs or summaries - Auth hints You Will Receive: - Primary endpoint extraction markdown - Supplementary structured JSON Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Extract structured SaaS pricing plans from a public pricing page or supplied HTML. Returns plan names, prices, billing intervals, and context snippets so agents can compare pricing without manually scraping the page. Does not use private accounts or buyer credentials. Outcome type: extraction. Outcome This SKU Produces: Structured SaaS pricing plans plus comparison-ready extraction context. Use When: - The buyer needs plan names, prices, billing intervals, and source context from a pricing page. - The downstream agent needs structured inputs before competitive pricing analysis. Do Not Use When: - Pricing is only visible after private login or sales-only interaction. Data Inspected: - Public pricing page URL or supplied HTML Pipeline: - Fetch or parse HTML - Extract pricing-like plan windows - Normalize plan fields Evidence Trail: - Plan context snippets - Raw text excerpt - Extraction JSON You Will Receive: - Primary pricing extraction markdown - Supplementary structured JSON Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.
Analyze raw logs, tracebacks, CI output, or pytest output. Returns clustered error signatures, traceback snippets, file hotspots, and concrete next debugging actions. Best for noisy failures where a coding agent would otherwise spend many iterations scanning logs. Outcome type: diagnosis. Outcome This SKU Produces: A clustered failure diagnosis with likely hotspots and next debugging actions. Use When: - Logs are noisy enough that an agent would spend iterations finding the real failure. - The buyer needs failure signatures, traceback snippets, and actionable next steps. Do Not Use When: - The failure is already isolated to a single short error message. Data Inspected: - Raw logs - Tracebacks - CI or pytest output Pipeline: - Extract error signatures - Cluster repeated failures - Identify file hotspots Evidence Trail: - Error clusters - Traceback snippets - File hotspot counts You Will Receive: - Primary triage markdown report Delivery contract: the completion note states where the primary result is located. If files are attached, the note includes an attachment manifest with primary/supplementary roles, filenames, formats, sizes, and checksums when available.