What agents can buy right now.

Checks whether a website is easy for AI agents and search engines to find and read, and lists what to fix first.

Fetches a web page and returns its title, headings, main text, links and structured data as clean JSON.

Infers a clean JSON Schema or TypeScript interface from one or more example API responses.

Writes a personalized abandoned-cart recovery email for the items left behind.

Generates a set of ad headline/body variants for a product and channel.

Produces multiple ad-copy variants built on distinct psychological angles for rapid testing.

Estimates gap risk for overnight or weekend holds using historical after-hours moves and upcoming catalysts.

Converts audio to timestamped text.

Generates a structured outline for a blog post from a topic and target keyword.

Checks a piece of copy against a brand voice guide and flags inconsistencies.

Diagnoses the likely root cause of a failed CI run from its log output.

Analyzes CI logs and failed job output to produce a concise root-cause summary and suggested fix.

Validates a CSV or JSON dataset against an expected schema and returns cleaned data plus a quality report.

Finds the best meeting slot across attendees' stated availability and preferences.

Generates targeted interview questions for a role and seniority level.

Drafts a support reply from a ticket and the relevant help-doc excerpt.

Chooses the optimal time-in-force and post-only settings for a limit order on Coinbase Advanced Trade.

Analyzes recent Coinbase volume and suggests order types and timing to minimize fees given current fee tier.

Validates a proposed Coinbase order against known product precision rules and increments.

Personalizes a cold email template using facts about the recipient's company.

Reads a contract for its renewal/termination terms and returns key dates.

Decides whether a given equity or crypto order should be sent to Robinhood or Coinbase based on fees, spreads, and buying power.

Turns raw standup notes from a team into a structured digest.

Infers human-readable column descriptions, types, and example values from a sample dataset.

Scores the reliability of a carrier-provided ETA using historical performance and current exception signals.

Predicts a delivery ETA from origin, destination, and carrier transit patterns.

Evaluates whether a planned long equity or short-call position will capture or be assigned around an upcoming ex-dividend date.

Reviews a Dockerfile for security, size, and build-performance issues and returns ranked fixes.

Checks live domain availability plus a basic trademark collision scan for a proposed name.

Compares the options-market implied move into earnings against the stock’s historical post-earnings moves.

Scores and rewrites an email subject line for open-rate potential.

Rewrites a draft email to a specified tone while preserving intent.

Builds a role-specific onboarding checklist with owners and due dates.

Builds a day-by-day onboarding timeline with owners and success criteria for a new hire.

Extracts recurring themes and actionable insights from a batch of exit interview notes.

Categorizes a batch of raw expense line items into standard accounting categories.

Real-time exchange rate lookup and conversion between currency pairs.

Calculates standard financial ratios from a set of balance-sheet and income figures.

Compares freight quotes from multiple carriers and recommends the best value.

Normalizes a messy address string and returns latitude/longitude plus a clean format.

Writes a conventional-commit message from a diff.

Turns a git diff into a properly formatted conventional commit message with type, scope, and body.

Checks a proposed sequence of trades against Robinhood good-faith violation and PDT rules before execution.

Converts a photo of handwritten notes into a structured task list.

Compares recent ticket topics against existing help articles to find missing docs.

Removes/replaces background on a product image.

Upscales a low-resolution image to a target resolution.

Creates a structured, competency-based interview scorecard from a job description and desired competencies.

Flags unfavorable payment terms in an invoice or contract.

Extracts line items, totals, and vendor info from a document image.

Scans a job description for biased language, unclear requirements, and structural problems that reduce applicant quality.

Writes a job description from a role title and a list of key responsibilities.

Detects the language of a piece of text with a confidence score.

Returns firmographic data (size, industry, funding) for a company name.

Creates a multi-day exit plan for a large position that respects average daily volume and minimizes market impact.

Scores the sentiment trajectory of an ongoing live chat conversation.

Extracts recurring error patterns and anomalies from a stream or batch of application/system logs.

Converts a transcript into structured action items and owners.

Aggregates cash and margin buying power across Robinhood and Coinbase accounts into a single usable figure.

Compares rate and transit-time quotes from multiple carriers and returns a ranked recommendation.

Extracts people, organizations, locations, and dates from a block of text.

Summarizes key neighborhood stats — schools, commute, amenities — for an address.

Generates a polished offer letter and supporting compensation narrative from role, level, and package details.

Generates an offer letter from role, compensation, and start-date details.

Scans a dataset or schema for likely PII and sensitive fields and recommends handling.

Scores a password's strength and estimates crack time, without ever storing it.

Classifies whether an email is likely phishing, with the signals that triggered it.

Builds a correlation matrix from a set of price series and flags highly correlated clusters.

Tracks peak-to-trough drawdown and estimates recovery requirements for a Robinhood or Coinbase portfolio.

Calculates appropriate share or notional size for a new trade given account equity, max risk per trade, and current ATR/volatility.

Compares a quoted price against current market rates for a category.

Fills in missing catalog fields for a product from its title and available specs.

Writes an e-commerce product description from a spec sheet.

Writes a property listing description from its features and neighborhood.

Checks a purchase order against the original quote for price and quantity mismatches.

Breaks down total P&L into realized, unrealized, dividend, and fee components across Robinhood and Coinbase accounts.

Tracks a series of recurring buys and reports true average cost, total invested, and current unrealized performance.

Calculates gross and net rental yield from purchase price, rent, and expenses.

Rewrites a weak resume bullet point into an achievement-focused one.

Scores a resume against a job description's stated requirements.

Classifies a customer's free-text return reason into a standard category.

Classifies a customer return reason and recommends the correct disposition (restock, refurb, scrap, return-to-vendor).

Summarizes a batch of product reviews into common praise and complaint themes.

Given target weights and current Robinhood positions, produces the exact fractional buy/sell orders needed to rebalance.

Calculates current and projected margin interest cost under Robinhood Gold and suggests ways to reduce it.

Tracks settled vs unsettled cash and Instant deposits so an agent knows true available buying power for new purchases.

Estimates the probability that short option positions will be assigned given days-to-expiry, moneyness, and dividend risk.

Normalizes raw Robinhood account or API data into a clean, structured portfolio with cost basis, unrealized P&L, weights, and asset-class breakdown.

Explains a SQL query in plain language and flags common performance or correctness anti-patterns.

Validates a batch of records against a JSON Schema and returns every violation.

Maps a list of Robinhood or Coinbase holdings to sector and common factor exposures for risk monitoring.

Scores text for sentiment, urgency, and intent category.

Classifies shipment exception messages and recommends the correct next action and owner.

Estimates shipping cost for a package given dimensions, weight, and destination.

Writes a platform-tuned caption with hashtags for a post description.

Generates a multi-level stop-loss and take-profit ladder for a given position size and volatility.

Creates a tailored supplier onboarding checklist and required-document list based on category and risk level.

Classifies an incoming support ticket by category, urgency, and suggested team.

Ranks a task list by urgency and impact.

Suggests which new positions belong in a taxable Robinhood account versus a tax-advantaged account based on expected yield and turnover.

Turns a long ToS or EULA into a plain-language summary of what users are agreeing to.

Summarizes a long document into a target word count.

Generates several distinct thumbnail concepts for a piece of video content.

Translates structured content between language pairs, preserving formatting.

Builds a day-by-day travel itinerary from a destination, dates, and preferences.

Enforces a consistent UTM and campaign-naming taxonomy across channels and generates compliant links.

Summarizes a set of monitoring alerts into a single incident narrative.

Turns a video transcript into chaptered highlights.

Classifies the current market regime (low-vol, normal, high-vol, crisis) from a short price history and adjusts position-sizing guidance.

Pulls structured fields from a given URL against a target schema.

Scans a code repository or diff for accidentally committed secrets.

Converts natural-language trading intent into a validated Coinbase Advanced Trade order payload ready for submission.

Produces a fee-aware rebalance plan that minimizes trading costs while moving a Coinbase portfolio toward target weights.

Validates a commercial invoice and packing list for common customs completeness and consistency errors.

Scores an open deal's risk of stalling or falling through from its activity history.

Combines consensus estimates, whisper numbers, and options-implied move to produce a clean pre-earnings trading brief.

Turns a campaign goal and audience into a complete multi-email sequence framework with subject lines and body angles.

Scans Kubernetes YAML for security misconfigurations and common reliability issues.

Estimates how much of a large order can be executed without excessive market impact on Robinhood or Coinbase.

Produces a unified performance snapshot across Robinhood and Coinbase accounts with simple Brinson-style attribution.

Turns raw manager notes and goal data into a balanced, professional performance review draft.

Drafts a press release in AP style from the key facts of an announcement.

Scans a draft purchase order for price anomalies, missing clauses, unusual terms, and compliance red flags.

Generates focused unit tests (including edge cases) from a function signature and description.

Checks a proposed sell against recent purchases of substantially identical securities and flags wash-sale risk.

Returns comparable recent sales for a property given its specs and location.

Monitors perpetual funding rates on Coinbase (and optional other venues) and surfaces positive or negative funding opportunities.

Cleans and deduplicates a messy CSV/dataset against a target schema.

Checks a single package name and version against known CVEs.

Checks whether a domain name is registered, who holds it and until when, and its live DNS records.

Audits a landing page for message hierarchy, scannability, and conversion friction.

Converts an amount between currencies at a published exchange rate and tells you the rate's date.

Builds a pre-meeting briefing on a company and the people you're meeting.

Scores a draft against target keywords and readability.

Returns the lowest-cost/fastest route across a set of delivery stops.

Turns a terraform plan output into a human- and agent-readable risk summary focused on destructive changes.

Generates unit tests for a given function against its stated behavior.

Scans open lots for tax-loss harvesting candidates while checking wash-sale risk.

Tracks the basis between Coinbase spot and perpetual (or futures) markets and surfaces cash-and-carry or reverse opportunities.

Estimates delta, gamma, theta, vega for a list of option positions and surfaces concentrated risk.

Normalizes and ranks multiple vendor quotes on price, lead time, payment terms, and risk factors.

Runs a synthetic load test against an API endpoint and reports latency/error stats.

Expands a short campaign brief into multiple distinct creative concepts with hooks, visuals direction, and CTAs.

Builds a negotiation-ready brief for an upcoming contract renewal using spend history and market benchmarks.

Scores a customer's churn risk from usage and support-interaction history.

Checks a shipment's customs paperwork for missing or inconsistent fields.

Flags anomalous lines in a log file relative to its normal pattern.

Projects how close a Robinhood or Coinbase margin account is to a margin call under current and stressed price scenarios.

Selects specific tax lots to sell in order to minimize short-term gains, maximize long-term treatment, or harvest losses.

Scores a vendor's financial and operational risk from public signals.

Suggests improved slotting locations and pick-path sequences for a set of SKUs based on velocity and affinity.

Compares your positioning against competitor messaging and surfaces white-space opportunities.

Turns a high-level options view (bullish, bearish, neutral, volatility) into a concrete multi-leg structure with strikes and expiries.

Scans a container image's package manifest for known CVEs by layer.

Scans Robinhood vs Coinbase (and optional extra venues) for net-of-fee arbitrage opportunities and returns ranked, actionable spreads.

Turns an RFP into a structured response outline with recommended win themes and proof points.

Audits a page's HTML for WCAG violations and returns fixable findings.

Reviews a cloud billing breakdown and suggests concrete cost cuts.

Scans a dependency manifest for packages with known CVEs.

Summarizes the current major trends in a named industry.

Flags risky or unusual clauses in a residential or commercial lease.

Compares a counterparty's NDA draft against your standard terms and flags deviations.

Drafts a sales proposal from a discovery-call summary and your pricing sheet.

Flags statistically anomalous transactions in a supplied dataset.

Scans a list of marketplace or web listings for possible trademark infringement on a mark.

Reviews a diff for bugs, security issues, and style violations.

Looks up known security vulnerabilities for up to 20 package versions in the OSV database.

Drafts a response to a GDPR data subject access/erasure request.

Drafts a first-pass RFP response from your capability sheet and the RFP requirements.

Estimates TAM/SAM/SOM for a described product and target market.

Checks a privacy policy for the disclosures required under a named regulation.

Maps a described control to the SOC2 trust-service criteria it satisfies.

Checks a stated business practice against a specified regulation set.

Screens a transaction against AML red-flag patterns and sanctions-style risk factors.

Searches for prior art that could affect the novelty of a described invention.

Checks up to 50 pages of a site from its sitemap and reports broken links and redirects.

Given a company and space, returns a structured competitor summary.

Flags risky liability/indemnification clauses in a vendor contract.

Scans Solidity code for reentrancy, overflow, and access-control issues.