Ready-made playbooks your AI agent can run. Each skill chains API Direct's tools — with the right filters and steps — into a concrete outcome: find a competitor's unhappy customers, detect just-raised startups, build a local acquisition list, and more.
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Intercept people publicly complaining about a competitor the moment they post.
Turn fresh job posts that imply a tooling gap into ranked accounts plus the internal budget owner.
Catch companies the week they raise — when budgets are fresh and buyers are saying yes
Find the people actively shopping away from a rival and intercept them mid-defection
Catch locals the moment they post that they need exactly what you sell
Walk into every discovery call already knowing the company, the moves, and the buyer's hot buttons
List a named competitor's employees by seniority — via their personal posts, not the company page.
Catch freshly laid-off talent within days of the announcement, before every other recruiter circles back
Surface passive technical experts by the depth of the answers they give, not the resumes they wrote
Find portfolio-grade designers, photographers and editors and pull their public email in one pass
Map every independent operator in a trade and surface their named standout staff with direct contact
Recursively expand one seed company's similar_companies graph into a full, sized category map.
Detect competitor instability from layoff posts and a surge of 'open to work' employees.
Reverse-engineer a rival's unannounced roadmap from the roles they just opened
Harvest authentic, sentiment-scored pricing complaints about a rival for your sales battlecard
Surface a rival's recurring failures from their angriest reviews across Google and Facebook
Teardown a competitor's best-performing video hooks and angles across Facebook and TikTok
Find startups hiring their first GTM/finance exec — the classic post-Series-A scaling tell.
Harvest fragmented local operators with owner emails and phones for direct acquisition outreach.
Surface founders announcing launches by filtering posts to their job title, not just keywords.
Find established local businesses with proven demand but failing management, plus the owner's direct line
Catch consumer brands going viral on TikTok before they raise, then surface the founder's inbox
Catch founders the day they announce a round and rank them by real traction before everyone else calls
See — and source-trace — exactly what Google's AI tells the public about your brand.
For a damaging tweet, map who's spreading it, their reach, and the mood of the commentary.
Surface the angriest reviews nobody has answered yet, ranked so your team replies in the order that protects your rating most
Measure whether your crisis statement actually calmed the room or poured gas on it
Catch every mention of a named leader across LinkedIn, X, news, and Reddit and split the wins from the reputation risks
Spot a key B2B account churning from its employees' posts and its reqs for rival tools.
Catch 'I'm cancelling / switching' posts and prioritize the loudest accounts for a save.
Turn scattered "I wish it could" chatter into a ranked, evidence-backed feature backlog
Detect an incident from angry tweets minutes before the support queue floods
Find the questions users keep asking that have no tutorial to deflect them
Catch a high-follower Instagram complaint and get a private contact to fix it before it spreads
Find undervalued creators by engagement-to-follower ratio before they blow up.
Turn any niche into a contact sheet of reachable Instagram creators with emails and links
Reverse-engineer the week's winning TikTok hooks, sounds, and formats before they saturate
Turn one viral tweet into a reach-ranked list of amplifiers for your next launch
See who's actually winning a YouTube niche by momentum, not subscriber vanity
Turn a business listing into the owner's emails, phones and named social profiles.
Scan every public surface for lawsuits, fraud claims, and negative chatter before you onboard a person or company
Pin one real person to all of their social handles and confirm the match with shared bio links and emails
Generate a subject dossier and independently re-verify every AI-stated claim against its primary source
Trail one Google reviewer across the venues they rate to infer their home turf and daily routine
Catch a rising topic, find the B2B founders posting about it, then surface their contact channel.
Turn a map full of local businesses into a contact-rich, multi-platform lead dossier for every place
Prove a niche is not just hot but accelerating by triangulating fresh demand signals across four independent platforms
Get a 360-degree read on one city before you expand — local chatter, trending hooks, competitor density, and hiring momentum in a single scan
Track one brand keyword across every major network and roll it into a single share-of-positive scoreboard
Surface the happiest creators posting about your brand and hand back their follower count and contact email
Find the creators dominating your topic across YouTube and TikTok and rank them by reach and sentiment
Measure whether your employees out-amplify your own company page on LinkedIn
Catch only the angry brand mentions and rank them by the size of the audience that saw them
Catch a topic breaking in one region before it goes global by diffing live trend lists across markets
Sweep one-star reviews across a metro's category to surface the unmet needs nobody is solving
Map the affiliate, comparison, and AI-answer landscape that owns a high-intent buying keyword
Turn fresh job-posting velocity for an emerging skill into a forward demand signal and a map of who is investing
Promote a topic only when X, Reddit, YouTube and TikTok all surge at once, killing one-platform fads
Turn a niche and a city into a deduped, CRM-ready list of every local business with phones, emails, and social handles
Find local businesses whose own 1-star reviews name the exact pain your product fixes, then hand you the owner to pitch
Go from a map pin to the owner's LinkedIn and a personalized cold-opener drawn from their latest post
Reveal which local businesses Google's AI recommends for 'best X in city' and which strong ones it ignores
Catch a brand opening in a new metro weeks early by reading its local hiring cluster and Maps footprint
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