Agent Blueprints

AI Agents that
sense, decide,
and act.

Full autonomous pipelines built on FoxAPIs data. Copy the blueprint, add your API key, ship in an afternoon.

🔍 Real data, not mocked 🤖 LLM-ready JSON ⚡ 51 live endpoints 🔔 Webhook triggers 📡 MCP compatible
👁
Sense
FoxAPIs pulls real-time data from 51 sources — reviews, social, dev signals, market data
🧠
Decide
Claude, GPT, or any LLM reasons over the structured data and generates intelligence
Act
Post, alert, enrich CRM, send email, update dashboard — fully automated output
🔄
Loop
Webhooks and cron triggers keep the agent running 24/7 with no human input
🧪
103 more agents in the pipeline — request yours
Pharma · Investing · Legal · HR · Media · Climate · GovTech · and more → We reply within 48 hours
Browse & Request →
Blueprint v1.0 · FoxAPIs

Chess Tournament
Betting Intelligence Agent

Scrapes a live tournament bracket, pulls real Chess.com + Lichess stats for every player, feeds them into an LLM for ranking and upset prediction, then posts a full Twitter/X thread — completely autonomously.

2 FoxAPIs endpoints Claude / GPT reasoning Twitter/X output Full pipeline
~6 credits/run
▶ Test live
2
Endpoints
5
Pipeline steps
~2 min
Full run time
0
Human touches
♟ → 🧠 → 🐦
Bracket → Intel → Tweet
Agent Pipeline
5 steps · fully autonomous
1
Trigger
Tournament URL input
Agent receives a Chess.com, Lichess, Chess24, or FIDE tournament URL. Bracket is scraped — all player names and usernames extracted automatically.
Tournament URLWeb scrape
2
FoxAPIs Data Pull
Player intel loop — parallel calls
For every player in the bracket, the agent calls both Chess.com and Lichess simultaneously. Pulls ratings across all time controls, puzzle score, win/loss record, completion rate, hours played, and follower count.
POST /v1/gaming/chess/player POST /v1/gaming/lichess/player
3
LLM Reasoning
Intelligence synthesis
All player stats fed into Claude or GPT. Prompt instructs: "Rank players by predicted tournament finish. Flag upsets. Identify dark horses. Note fatigue signals." LLM reasons over the structured data and returns ranked output with explanations.
Claude / GPT Structured prompt
4
Brief Generation
Seeding intelligence brief
Agent assembles: ranked player table, top 3 upset picks with reasoning, dark horse spotlight, fatigue risk flags, and Round 1 head-to-head predictions.
Ranked tableUpset picksDark horseFatigue flags
5
Publish
Auto Twitter/X thread
Agent posts a 5-tweet thread: tournament overview, top seed analysis, upset pick of the day, dark horse spotlight, and full bracket prediction table as an image card.
Twitter/X API RiteKit image card
🎯 Betting Signals Extracted
Endpoint
Data pulled
Betting intelligence
/v1/gaming/chess/player
Blitz / Rapid / Bullet ratings, W/L record, followers
Current form, time control strength, name recognition vs actual skill
/v1/gaming/lichess/player
All formats, puzzle rating, completion rate, hours played
Calculation depth, clock management, stamina under pressure
Rating delta
Lichess vs Chess.com gap
Large gaps = true strength hidden — upset candidate
Puzzle rating
Puzzle score vs game rating
High puzzle / lower game rating = dangerous in long time controls
Completion rate
Lichess % games completed
Under 90% = abandons losing positions → clock pressure risk
Sample output — seeding brief
Live agent output
# TOURNAMENT INTELLIGENCE BRIEF — Tata Steel 2026 # Generated by FoxAPIs Chess Agent · 2026-01-14T08:32:00Z FIELD STRENGTH RATING: 9.2/10 (strongest field since 2023) PREDICTED FINISH ORDER: 1. Carlsen, Magnus Rapid:2880 Puzzle:3210 Completion:99.1%FAVOURITE 2. Nepomniachtchi, Ian Rapid:2812 Puzzle:3050 Completion:96.4% 3. Praggnanandhaa, R Rapid:2798 Puzzle:3180 Completion:98.7%DARK HORSE ⚡ UPSET PICK #1: Praggnanandhaa over Nepomniachtchi Reason: Puzzle rating 130 pts higher. Delta suggests deep calculation underrated in game ratings. Clock pressure advantage in rapid format. FATIGUE FLAGS:Firouzja, Alireza Completion: 84.2% — abandonment pattern detected Risky in must-win situations late in tournament. ROUND 1 PREDICTION: Carlsen > Firouzja (72% confidence)
# Chess Betting Agent — core loop (Python) import requests, asyncio API_KEY = "fxp_live_YOUR_KEY" BASE = "https://api.foxapis.com" async def get_player_intel(username): chess = requests.post(f"{BASE}/v1/gaming/chess/player", headers={"X-API-Key": API_KEY}, json={"username": username}).json() lichess = requests.post(f"{BASE}/v1/gaming/lichess/player", headers={"X-API-Key": API_KEY}, json={"username": username}).json() return {"chess": chess["data"], "lichess": lichess["data"]} # Feed all player stats into Claude for ranking def rank_players(players_data): prompt = f""" Given these chess player stats: {players_data} Rank by predicted tournament finish. Flag upset candidates. Identify dark horses. Note fatigue signals (completion rate, hours played). Output structured JSON. """ # → Claude API call here return claude_response
Businesses you could build with this agent
Chess is a global sport with millions of passionate fans and a growing betting and fantasy market.
Chess Betting Intelligence
Pre-tournament briefings for chess bettors. Upset picks, dark horse analysis, fatigue flags. $9/mo subscription or sell to betting platforms as a white-label data feed.
Buyer: chess bettors, sports betting platforms
🏆
Tournament Organizer Dashboard
FIDE and club organizers need seeding intelligence. Auto-rank all players by multi-platform stats before every round. Sell as a SaaS tool to chess federations.
Buyer: chess clubs, FIDE organizers
🎓
Chess Coaching Analytics
Coaches track student progress across Chess.com and Lichess simultaneously. Automated weekly report: rating trends, time control gaps, puzzle vs game rating delta.
Buyer: chess coaches
📺
Esports Broadcast Data Layer
Twitch and YouTube chess streamers need real-time player stats during commentary. Live data overlay for broadcasts — sell as a streaming tool for chess content creators.
Buyer: chess streamers, broadcasters
Blueprint v1.0 · MentionFox + FoxAPIs

Brand Crisis
Detection Agent

Monitors your brand 24/7 across social, reviews, and news. When sentiment drops or mention volume spikes beyond threshold, it scores severity, alerts Slack, drafts a response, and can auto-post if approved.

24/7 monitoring MentionFox webhooks Slack + email alerts
~38 credits/run
▶ Test live
24/7
Always on
30+
Sources monitored
<60s
Alert speed
0
False positive tuning
📡 → 🚨 → 💬
Monitor → Alert → Respond
Agent Pipeline
6 steps · webhook-driven
1
Always On
MentionFox scans continuously
MentionFox monitors brand mentions across social, news, forums, reviews, and podcasts in 99 languages, 24/7.
MentionFox brand scan30+ sources
2
Threshold trigger
Webhook fires on anomaly
When sentiment drops beyond your threshold or mention volume spikes >3x baseline, MentionFox fires a webhook to your agent endpoint instantly.
MentionFox webhookConfigurable threshold
3
FoxAPIs enrichment
Cross-platform sentiment pull
Agent calls Reddit brand mentions, Trustpilot, and Twitter in parallel to verify the signal is real and get full context across channels.
POST /v1/brand/reddit/brand-mentionsPOST /v1/brand/trustpilot/companyPOST /v1/social/twitter/post
4
LLM scoring
Crisis severity assessment
All data fed to Claude. Scores: severity (1–10), likely cause, recommended response type (ignore / monitor / respond / escalate).
Claude reasoningSeverity score
5
Alert
Slack + email notification
Agent sends Slack message with: severity score, top 3 mentions, recommended action, and one-click approve/dismiss. Email escalation if severity >7.
Slack webhookEmail alert
6
Response
Draft response, await approval
Claude drafts a brand response. Queued for human approval before posting. Auto-posts only if severity <4 and response type is "monitor".
Claude response draftHuman-in-the-loop
Businesses you could build with this agent
Brand reputation management is a $10B+ market. Every agency and in-house PR team needs this.
🏢
PR Agency Crisis Dashboard
White-label crisis monitoring for PR agency clients. $200-500/mo per brand monitored. Run 20 clients = $10k MRR. Replaces manual social listening tools that cost 5x more.
Buyer: PR agencies
🛡️
Brand Protection SaaS
Self-serve brand monitoring with Slack alerts. SMBs pay $49-149/mo to know when their reputation is under attack. High volume, low touch, recurring revenue.
Buyer: SMB marketing teams
Competitor Crisis Tracker
Alert sales teams when a competitor hits a crisis — that's the best time to prospect their customers. "Acme Corp just hit a 2.1 Trustpilot score — call their accounts now."
Buyer: B2B sales teams
📊
Executive Reputation Briefing
Weekly brand health report for C-suite. Sentiment trends, review scores, social volume — packaged as a Monday morning PDF. $500-2k/mo per enterprise client.
Buyer: enterprise comms teams
Blueprint v1.0 · FoxAPIs

Competitor Intelligence
Agent

Runs weekly. Tracks 5 competitors across G2, Reddit, SimilarWeb, hiring, and Perplexity AI visibility. Emails a digest every Monday morning with deltas, opportunities, and recommended actions.

5 competitors tracked 8+ endpoints per run Monday email digest
Get API Key →
8+
Endpoints/run
Weekly
Cron trigger
5
Competitors
Delta tracking
Agent Pipeline
Weekly cron · email output
1
Every Monday 6am
Cron trigger fires
Agent wakes up on schedule. Loads list of 5 competitors from config. Initializes parallel API call queue.
2
FoxAPIs — per competitor
8 data pulls per competitor
For each competitor: G2 rating + Trustpilot + SimilarWeb traffic + Reddit mentions + Perplexity AI visibility + Indeed hiring + ProductHunt + BuiltWith tech stack.
POST /v1/brand/g2/productPOST /v1/brand/similarweb/domainPOST /v1/brand/reddit/brand-mentions+5 more
3
Delta analysis
Compare this week vs last week
Agent compares current data against last week's snapshot stored in DB. Flags meaningful changes: rating drops, traffic spikes, hiring surges, AI visibility gains.
Claude delta analysisDB comparison
4
Output
Monday morning email digest
Formatted email with: competitor scorecards, top 3 changes this week, opportunities flagged, recommended actions. Delivered by 7am every Monday.
Email digestSlack summaryGoogle Sheets update
Businesses you could build with this agent
Every SaaS founder, growth team, and investor needs competitive intelligence. It's a permanent budget line.
📊
Competitive Intel SaaS
Weekly competitor digest delivered to founders and growth teams. $99-299/mo per workspace. Track up to 10 competitors across reviews, traffic, hiring, and AI visibility.
Buyer: SaaS founders, growth teams
🏦
VC Portfolio Monitor
Help VCs track competitive dynamics across their portfolio companies. Weekly briefing per portfolio company showing how competitors are moving. $2-5k/mo per fund.
Buyer: VC firms
🎯
Sales Battlecard Automation
Auto-update sales battlecards when competitor G2 scores drop, pricing changes, or new hiring signals appear. Sell to revenue ops teams at $500/mo per company.
Buyer: revenue ops, sales enablement
🔭
Agency Competitive Reports
Strategy agencies charge $5-20k for competitive landscape reports. Automate 80% of the data gathering. Deliver faster, cheaper, more often — and keep the margin.
Buyer: strategy consultants
Blueprint v1.0 · FoxAPIs + MentionFox

Lead Enrichment
Agent

New contact lands in your CRM → agent auto-pulls full company profile, person dossier, tech stack, hiring signals, and review sentiment → scores the lead → routes to the right rep with a ready-to-use brief.

CRM webhook trigger MentionFox dossier Auto lead scoring
Get API Key →
<30s
Enrichment time
5+
Data sources
100%
Automated
A–F
Lead score
Agent Pipeline
Webhook trigger · CRM output
1
CRM Trigger
New contact in HubSpot / Salesforce
Webhook fires when new contact is created. Agent receives: name, email, company domain, role.
HubSpot webhookSalesforce trigger
2
FoxAPIs — Company
Full company profile
Domain → SimilarWeb traffic + BuiltWith tech stack + Trustpilot sentiment + Indeed hiring velocity. Budget and intent signals in one sweep.
POST /v1/brand/similarweb/domainPOST /v1/brand/builtwith/domainPOST /v1/brand/trustpilot/companyPOST /v1/talent/indeed/job
3
MentionFox — Person
Person dossier + ice breakers
Name + employer → full MentionFox person dossier: background, interests, personality profile, recent public activity, 5 personalized ice breakers.
MentionFox Person DossierIce breaker generation
4
LLM scoring
Lead score + routing
Claude scores A–F based on: traffic size, hiring velocity, tech stack fit, sentiment, role seniority. Routes to right rep with full brief attached.
Claude scoring promptRep routing logic
5
CRM update
Enriched contact + rep brief
CRM contact updated with: company profile, person dossier, lead score, ice breakers, and recommended pitch angle. Rep opens CRM and brief is ready.
CRM enrichmentSlack rep notification
Businesses you could build with this agent
Sales intelligence is one of the most proven SaaS categories. Automated lead enrichment is a $4B market.
🎯
CRM Enrichment Connector
HubSpot/Salesforce app that auto-enriches every new lead with company traffic, tech stack, hiring signals, and a lead score. $200-500/mo per sales team. High retention.
Buyer: B2B sales teams
🤝
Outbound Personalization Engine
SDRs spend 40 mins researching before each cold call. Automate it to 30 seconds. Company brief + person dossier + 5 ice breakers delivered before every dial.
Buyer: SDR teams, outbound agencies
🏢
Account-Based Marketing Tool
ABM requires deep account intelligence. Auto-generate account briefs for target companies — traffic trends, tech stack, buying signals, key contacts. $1-3k/mo SaaS.
Buyer: enterprise marketing teams
📋
Recruiter Candidate Enrichment
Recruiters need company context before outreach. Auto-enrich candidate's current employer with traffic, funding signals, hiring freeze detection. $99/mo per recruiter.
Buyer: executive recruiters
Blueprint v1.0 · FoxAPIs

Biotech Catalyst
Monitor Agent

Tracks every binary event — FDA decisions, trial readouts, key publications — for any drug, company, or disease area. Turns months of manual research into a structured intelligence brief, automatically.

3 FoxAPIs endpoints Claude synthesis Biotech investing
~45 credits/run
▶ Test live
3
Endpoints
4
Pipeline steps
~90s
Full run time
0
Human touches
🧬 → 📋 → 💰
Trials + FDA + Papers → Investment brief
🎯 Intelligence Extracted
Endpoint
Data pulled
Investment signal
/science/clinicaltrials
Phase, enrollment, sponsor, completion date
Phase 3 completions = upcoming binary event; enrollment pace = trial health
/science/fda/approvals
Approval history, adverse events, recalls
Adverse event spike = short signal; clean record + Phase 3 = long catalyst
/science/pubmed
Recent papers, authors, journal prestige
High-impact journal pubs often precede FDA submissions by 6-12 months
Sample output — Moderna mRNA cancer vaccine
Live agent output
# BIOTECH CATALYST BRIEF — Moderna mRNA Cancer Vaccine · 2026-03-09 UPCOMING BINARY EVENTS: 🔴 mRNA-4157/V940 Phase 3 KEYNOTE-942 Completion: Q3 2026 Sponsor: Moderna + Merck · Enrollment: 1,089 · Indication: Melanoma HIGH IMPACT — primary endpoint OS data expected 🟡 mRNA-4359 Phase 1/2 Status: Recruiting · Solid tumors FDA SIGNALS: ✅ No recent adverse event spikes for mRNA-4157 ⚠ Injection site reactions flagged — expected, not novel LITERATURE: 📄 Pembrolizumab + mRNA-4157 — Nature Medicine 2025 · 49% RFS improvement 📄 Neoantigen vaccine personalization — NEJM 2026 · Strong efficacy signal THESIS: Phase 3 OS readout Q3 2026 is the key catalyst. Nature Medicine data de-risks mechanism. Watch ASCO 2026 for interim data.
# Biotech Catalyst Agent import requests H = {"Authorization": "Bearer fxp_live_YOUR_KEY"} BASE = "https://api.foxapis.com" target = "mRNA cancer vaccine" trials = requests.post(f"{BASE}/v1/science/clinicaltrials/search", headers=H, json={"query": target, "status": "ALL"}).json() fda = requests.post(f"{BASE}/v1/science/fda/approvals", headers=H, json={"query": target, "type": "adverse_events"}).json() papers = requests.post(f"{BASE}/v1/science/pubmed/search", headers=H, json={"query": target, "max_results": 5}).json()
Businesses you could build with this agent
Real companies doing real revenue with this data today — or gaps waiting to be filled.
📊
Biotech Catalyst SaaS
Weekly catalyst calendar for retail biotech investors. Alerts on upcoming Phase 3 readouts, FDA PDUFA dates, ASCO presentations. Charge $49/mo per ticker watchlist.
Buyer: retail biotech investors
🏦
Hedge Fund Intel Feed
White-label catalyst briefings for biotech-focused funds. Automated daily digest per portfolio company. Position-size alerts when new Phase 3 data drops.
Buyer: biotech hedge funds
💊
Pharma BD Intelligence
Business development teams need to track competitor pipelines. Auto-report every competing program's trial phase, enrollment status, and recent publications.
Buyer: pharma BD teams
📰
Biotech Newsletter
"This week's catalysts" email to 10k subscribers. Agent generates the content automatically. Monetize with sponsorships from IR firms and biotech companies.
Buyer: newsletter subscribers
Blueprint v1.0 · FoxAPIs

Drug Safety
Signal Detector

Scans FDA adverse event reports and recent medical literature simultaneously to detect emerging safety concerns for any drug — before they become headlines. Pharmacovigilance-grade intelligence, API-simple.

3 FoxAPIs endpoints Claude analysis Pharma · Patient safety · Journalists
~35 credits/run
▶ Test live
3
Endpoints
3
Pipeline steps
~60s
Full run time
0
Human touches
💊 → ⚠️ → 🔔
FDA events + Literature → Safety brief
Sample output — Ozempic/semaglutide
Live agent output
# DRUG SAFETY SIGNAL BRIEF — Semaglutide (Ozempic/Wegovy) ADVERSE EVENT VOLUME: 47,832 reports (last 24 months) — +340% YoY Most common: nausea (31%), vomiting (22%), gastroparesis (8.4%) Serious events: 4,201 Hospitalizations: 892 EMERGING SIGNAL: Gastroparesis cluster Reports: 4,017 Trend: +89% past 6 months Geography: US + Canada LITERATURE: 📄 GLP-1 agonists and gastroparesis risk — Gastroenterology 2025 Case series: 156 patients, mean onset 4.2 months post-initiation 📄 Semaglutide GI motility — NEJM 2025 · Mechanism confirmed 📝 3 new preprints flagging same signal (not yet peer-reviewed) RISK ASSESSMENT: MEDIUM-HIGH — monitor Signal is real, mechanism plausible, volume rising. Regulatory action possible 6-12 months if trend continues.
# Drug Safety Signal Agent import requests H = {"Authorization": "Bearer fxp_live_YOUR_KEY"} BASE = "https://api.foxapis.com" drug = "semaglutide" adverse = requests.post(f"{BASE}/v1/science/fda/approvals", headers=H, json={"query": drug, "type": "adverse_events", "max_results": 25}).json() papers = requests.post(f"{BASE}/v1/science/pubmed/search", headers=H, json={"query": f"{drug} safety adverse", "max_results": 8}).json() preprints = requests.post(f"{BASE}/v1/science/biorxiv/preprints", headers=H, json={"query": drug, "days_back": 90}).json()
Businesses you could build with this agent
Pharmacovigilance is a regulatory requirement. These businesses sell compliance and peace of mind.
⚕️
PV Monitoring SaaS
Automated pharmacovigilance dashboard for small pharma and biotech. Regulatory obligation = guaranteed revenue. $500-2000/mo per drug program monitored.
Buyer: small pharma/biotech
🏥
Hospital Formulary Intelligence
Alert pharmacy & therapeutics committees when a formulary drug shows adverse event spikes. Sell to hospital systems as a patient safety tool.
Buyer: hospital pharmacy teams
⚖️
Litigation Support Research
Law firms handling pharmaceutical litigation need structured adverse event data. Package as a per-case research deliverable at $5-20k per engagement.
Buyer: plaintiff law firms
📡
Patient Advocacy Alert Service
Patient advocacy groups monitor drugs their members take. Subscription alert service — "we'll tell you when your drug shows new safety signals."
Buyer: patient advocacy orgs
Blueprint v1.0 · FoxAPIs

Clinical Trial
Landscape Agent

Maps the complete trial landscape for any condition — who is recruiting, what phase, which sponsors are dominating, where the white space is. Used by CROs, patient advocates, pharma BD teams, and biotech investors.

2 FoxAPIs endpoints Claude mapping CRO · Pharma BD · Investors
~25 credits/run
▶ Test live
2
Endpoints
3
Pipeline steps
~45s
Full run time
0
Human touches
🏥 → 🗺️ → 📊
Condition → Full landscape map
Sample output — triple negative breast cancer
Live agent output
# CLINICAL TRIAL LANDSCAPE — Triple Negative Breast Cancer TOTAL ACTIVE TRIALS: 847 Recruiting: 312 Phase 3: 48 DOMINANT SPONSORS: 1. AstraZeneca 34 trials · ADC + immunotherapy focus 2. Roche/Genentech 28 trials · Atezolizumab combinations 3. Merck 22 trials · Pembrolizumab backbone WHITE SPACE:BRCA-mutated TNBC + PARP + immunotherapy combos — underdevelopedNeoadjuvant, Stage I — severely underrepresented FASTEST RECRUITING: NCT05678901 — Datopotamab + Pembro — 89% enrolled, readout Q4 2026 PHASE 3 READOUTS: 7 trials completing before Sep 2027
# Clinical Trial Landscape Agent import requests H = {"Authorization": "Bearer fxp_live_YOUR_KEY"} BASE = "https://api.foxapis.com" trials = requests.post(f"{BASE}/v1/science/clinicaltrials/search", headers=H, json={"condition": "triple negative breast cancer", "status": "ALL", "max_results": 25}).json() research = requests.post(f"{BASE}/v1/science/pubmed/search", headers=H, json={"query": "TNBC treatment 2025", "max_results": 8}).json()
Businesses you could build with this agent
Clinical trial intelligence is a massive, underserved market — CROs and patient groups both need it badly.
🔬
Patient Trial Finder
B2C app for patients with serious illnesses to find recruiting trials near them. Monetize via CRO referral fees ($200-800 per enrolled patient) — massive TAM.
Buyer: patients + CROs
🏢
CRO Business Development Tool
Contract Research Organizations compete for trial management contracts. Show them where trials are underenrolling and which sponsors need help. $2-5k/mo SaaS.
Buyer: CROs
💼
Pharma White Space Report
Show pharma strategy teams which conditions have few trials and weak academic literature — where is the unmet need? Sell as a quarterly report at $10-50k.
Buyer: pharma strategy
🎗️
Disease Advocacy Research Service
Patient advocacy groups need to know the full landscape of trials for their disease. Sell an annual subscription with monthly updates for $2-5k/year.
Buyer: patient advocacy orgs
Blueprint v1.0 · FoxAPIs

Startup Traction
Radar Agent

Triangulates real startup health from public signals — traffic trends, hiring velocity, GitHub momentum, developer community buzz. Gets you to the truth about whether a startup is growing or stalling, before they tell you.

5 FoxAPIs endpoints Claude scoring VC · M&A · Due diligence
~72 credits/run
▶ Test live
5
Endpoints
4
Pipeline steps
~2 min
Full run time
0
Human touches
🚀 → 📊 → 🎯
Traffic + Code + Community → Traction score
🎯 Traction Signals
Endpoint
Data pulled
Traction intelligence
/brand/similarweb
Monthly visits, trend, bounce rate
Traffic growth rate is the single strongest traction signal
/dev/github/repo
Stars, forks, commit frequency
Commit cadence drop = team distraction; star velocity = dev interest
/social/reddit
Brand mentions, sentiment
Organic Reddit discussion = product-market fit that money can't fake
/social/hackernews
HN submissions, upvotes, comments
HN front page = inflection point; sophisticated user verdict
Sample output — linear.app
Live agent output
# STARTUP TRACTION RADAR — linear.app TRACTION SCORE: 8.7 / 10STRONG GROWTH TRAFFIC: 2.1M visits/mo Trend: +34% YoY Bounce: 28% GITHUB: Stars: 28.4K Commits/week: 47 Contributors: 312 REDDIT: Mentions/mo: 890 Sentiment: +82% positive HN: Front page 4x last 6 months Last: 847 pts, 312 comments SIGNALS: ✅ Traffic growth accelerating — not plateauing ✅ Commit frequency consistent — no team distraction ✅ Reddit love is organic, not manufactured ⚠ No new engineering roles posted this month — monitor VERDICT: PMF confirmed. Likely in growth/scale phase. Strong acquisition candidate or late-stage raise imminent.
# Startup Traction Radar Agent import requests H = {"Authorization": "Bearer fxp_live_YOUR_KEY"} BASE = "https://api.foxapis.com" target = "linear.app" traffic = requests.post(f"{BASE}/v1/brand/similarweb/domain", headers=H, json={"domain": target}).json() github = requests.post(f"{BASE}/v1/dev/github/repo", headers=H, json={"repo": "linear/linear"}).json() reddit = requests.post(f"{BASE}/v1/social/reddit/brand", headers=H, json={"brand": "linear"}).json() hn = requests.post(f"{BASE}/v1/social/hackernews/search", headers=H, json={"query": "linear app"}).json() ph = requests.post(f"{BASE}/v1/social/producthunt/product", headers=H, json={"slug": "linear"}).json()
Businesses you could build with this agent
VC deal flow is broken. The firms that automate traction scoring will win the deals everyone else misses.
🏦
VC Deal Flow Screener
Automated traction scoring for every inbound pitch. Run on 100 companies/week, surface the top 5 worth a call. Sell to seed and Series A funds at $500-2k/mo.
Buyer: VC firms
🎯
Acquisition Target Monitor
Corporate dev teams watch 50-100 targets. Weekly traction scores show who is accelerating, stalling, or ripe. $1-5k/mo retainer per client.
Buyer: corp dev, M&A teams
🚀
Accelerator Cohort Tool
Y Combinator and others pick 200+ companies/batch. Automated traction benchmarking helps partners allocate time to highest-momentum companies mid-batch.
Buyer: accelerators
📊
Startup Tracker Newsletter
"Which seed-stage companies grew traffic 10x this month?" Weekly automated report. Sponsor it to VCs or charge $99/mo subscription. Pure content flywheel.
Buyer: startup ecosystem
Blueprint v1.0 · FoxAPIs

Patent Moat
Analyzer Agent

Maps a company or technology area's full IP position — patent count, recency, CPC classifications, academic backing. Answers the question VCs and acquirers always ask: "How defensible is this, really?"

2 FoxAPIs endpoints Claude IP analysis M&A · IP Law · Investing
~30 credits/run
▶ Test live
2
Endpoints
3
Pipeline steps
~60s
Full run time
0
Human touches
⚖️ → 🗂️ → 🛡️
USPTO + Literature → Moat score
Sample output — CRISPR Therapeutics
Live agent output
# PATENT MOAT ANALYSIS — CRISPR Therapeutics PORTFOLIO: 312 granted US patents Most recent: 2025-11 VELOCITY: +28% new filings 2024 vs 2023 — accelerating TECHNOLOGY CONCENTRATION: C12N-9 (Enzymes): 142 patents DOMINANT C12N-15 (Genetics): 89 patents A61K-48 (Gene therapy): 61 patents ACADEMIC BACKING: 847 PubMed papers cite core tech Top journals: Nature, Cell, NEJM — highest-prestige validation MOAT: Width: WIDE Depth: DEEP Life: ~12-17 yrs avg remaining RISK FLAGS:Broad Institute interference proceedings — monitorChina filings thin — IP protection gap
# Patent Moat Analyzer Agent import requests H = {"Authorization": "Bearer fxp_live_YOUR_KEY"} BASE = "https://api.foxapis.com" patents = requests.post(f"{BASE}/v1/patents/uspto/search", headers=H, json={"assignee": "CRISPR Therapeutics", "max_results": 25}).json() papers = requests.post(f"{BASE}/v1/science/pubmed/search", headers=H, json={"query": "CRISPR gene editing therapeutics", "max_results": 10}).json()
Businesses you could build with this agent
IP intelligence is one of the most expensive legal services. Automated tools can deliver 80% of the value at 5% of the cost.
⚖️
IP Due Diligence SaaS
M&A and investment teams need patent landscape reports before every deal. Automate what law firms charge $20-50k for. Sell at $2-5k per report or $3k/mo subscription.
Buyer: M&A, PE, VC
🔍
Freedom-to-Operate Tool
Startups need to know if their product infringes before they build. Automated FTO report as a self-serve SaaS. $499-999 per product analysis.
Buyer: startups, product teams
🌐
Competitive IP Monitor
Alert R&D teams when a competitor files patents in their technology area. Monthly digest of new filings by competitor + CPC category. $500/mo SaaS.
Buyer: R&D, corporate strategy
🌱
Climate Tech IP Tracker
Map patent activity in clean energy and climate tech (USPTO Y02 codes). Sell to climate investors who need to see where IP is concentrating before making bets.
Buyer: climate VCs, policy orgs
Blueprint v1.0 · FoxAPIs

DeFi Protocol
Health Report Agent

Full due diligence on any DeFi protocol — TVL trend, chain distribution, token metrics, wallet concentration, community sentiment. The report a fund manager needs before allocating, delivered in seconds.

4 FoxAPIs endpoints Claude risk scoring Crypto funds · DeFi treasuries
~55 credits/run
▶ Test live
4
Endpoints
4
Pipeline steps
~90s
Full run time
0
Human touches
🔗 → 📈 → 🛡️
TVL + Wallets + Sentiment → Risk score
Sample output — Aave protocol
Live agent output
# DEFI PROTOCOL HEALTH REPORT — Aave TVL: $21.4B 30d change: +12.3%GROWING CHAINS: 12 Top: Ethereum (67%), Arbitrum (14%), Polygon (9%) TOKEN: AAVE Rank: #52 24h vol: $89M WALLET CONCENTRATION: Top 10 wallets: 34% of supply — HEALTHY distribution Recent large moves: 2 whale accumulations (last 30d) COMMUNITY: Reddit: 42K members Sentiment: +74% Key concern: GHO stablecoin peg stability — monitor AUDITS: 6 on record Latest: OpenZeppelin 2025 RISK: LOW-MEDIUM — established, multi-chain, active governance
# DeFi Protocol Health Agent import requests H = {"Authorization": "Bearer fxp_live_YOUR_KEY"} BASE = "https://api.foxapis.com" tvl = requests.post(f"{BASE}/v1/crypto/defillama/protocol", headers=H, json={"protocol": "aave"}).json() token = requests.post(f"{BASE}/v1/crypto/coingecko/coin", headers=H, json={"id": "aave"}).json() wallet = requests.post(f"{BASE}/v1/crypto/etherscan/wallet", headers=H, json={"address": "0x25F2226B597E8F9514B3F68F00f494cF4f286491"}).json() reddit = requests.post(f"{BASE}/v1/social/reddit/brand", headers=H, json={"brand": "aave defi"}).json()
Businesses you could build with this agent
DeFi moves at speeds traditional finance can't track. The winners are the ones with better data.
📈
DeFi Fund Research Tool
Crypto-native funds need protocol health dashboards — TVL trends, audit status, treasury exposure. White-label per fund at $1-3k/mo. Trivial to build, high switching cost.
Buyer: crypto funds, DAOs
🚨
Protocol Risk Alert Service
Alert yield farmers when a protocol's TVL drops >20% in 24h or audit findings emerge. SMS/Telegram alerts. $9-29/mo consumer subscription — high volume potential.
Buyer: DeFi yield farmers
🏛️
DAO Treasury Intelligence
DAOs with large treasuries need to monitor their DeFi positions. Automated weekly report on protocol health for each position. Sell to DAO ops teams at $500-2k/mo.
Buyer: DAO treasuries
📰
DeFi Research Newsletter
Weekly "State of DeFi" briefing auto-generated from protocol data. 50k subscribers at $15/mo = $750k ARR. Sponsor tier for protocols wanting coverage.
Buyer: DeFi community
Blueprint v1.0 · FoxAPIs

Talent Market
Intel Agent

What does a role actually pay in a given city — and is demand growing or shrinking? Combines BLS official wage statistics with live job posting signals to give HR leaders, founders, and job seekers the truth the recruiter won't tell you.

3 FoxAPIs endpoints Claude benchmarking HR · Recruiting · Job seekers
~40 credits/run
▶ Test live
3
Endpoints
3
Pipeline steps
~60s
Full run time
0
Human touches
👥 → 💰 → 📍
Role + Location → Comp intelligence
Sample output — ML Engineer, Texas
Live agent output
# TALENT MARKET INTEL — Machine Learning Engineer, Texas BLS OFFICIAL (2024): Median: $136,620 Mean: $149,840 P25: $108K P75: $178K P90: $210K TX employment: 28,400 YoY growth: +7.2% LIVE MARKET (today's postings): Indeed: 847 open roles Median posted: $148,000 LinkedIn: 312 roles Remote-eligible: 61% Most common stack: Python, PyTorch, AWS (78% of JDs) DEMAND: STRONG — postings up +23% vs 6 months ago Hot pockets: Austin (44%), Dallas (31%) NEGOTIATION INTEL: Market running +8% above BLS data. Anchor at $155K mid-level. $175K+ justified with LLM experience.
# Talent Market Intel Agent import requests H = {"Authorization": "Bearer fxp_live_YOUR_KEY"} BASE = "https://api.foxapis.com" bls = requests.post(f"{BASE}/v1/labor/bls/salary", headers=H, json={"occupation": "machine learning", "area": "texas"}).json() indeed = requests.post(f"{BASE}/v1/talent/indeed/job", headers=H, json={"query": "machine learning engineer", "location": "Texas"}).json() linkedin = requests.post(f"{BASE}/v1/talent/linkedin/jobs", headers=H, json={"query": "machine learning engineer", "location": "Texas"}).json()
Businesses you could build with this agent
Comp benchmarking is a $2B+ market. Most of it is locked inside outdated surveys. Real-time data wins.
💰
Real-Time Comp Benchmarking Tool
HR teams need current comp data, not 12-month-old surveys. API-powered salary benchmarks updated daily. $500-2k/mo per company. Compete with Radford and Mercer.
Buyer: HR / compensation teams
🤝
Offer Negotiation Assistant
B2C tool for job seekers. "Is this offer fair?" Enter role, location, experience → get market data + negotiation script. $9/mo or $29 one-time per offer.
Buyer: job seekers
🎓
Skills ROI Calculator
EdTech and bootcamps need to show salary lift data. Automated comp report by skill set vs. without. Sell as a marketing tool to coding bootcamps at $500/mo.
Buyer: bootcamps, edtech
📍
Talent Relocation Intelligence
Companies planning new office locations need to know where talent is and what it costs. Sell as a site selection research tool to real estate and HR consultants.
Buyer: HR consultants, CRE
Blueprint v1.0 · FoxAPIs

Competitor Hiring
Intelligence Agent

A company's job postings reveal their roadmap 6-12 months before any announcement. This agent reads those signals — what they're building, where they're expanding, what bets they're making — and turns it into a competitive brief.

3 FoxAPIs endpoints Claude inference Sales · Strategy · Investors
~55 credits/run
▶ Test live
3
Endpoints
3
Pipeline steps
~90s
Full run time
0
Human touches
🔍 → 🗂️ → 🎯
Job postings → Roadmap inference
Sample output — Stripe
Live agent output
# COMPETITOR HIRING INTEL — Stripe OPEN ROLES: 312 New (30d): 89ACCELERATING BREAKDOWN: Engineering: 142 (46%) Sales: 67 ML/AI: 34↑3x YoY ROADMAP SIGNALS: 🔴 18 roles mention "stablecoin" or "USDC" → crypto payments push imminent 🟡 12 ML roles: "fraud detection + LLM" → AI-native fraud product 🟡 9 roles: Singapore, UAE, Brazil → EM expansion Q3 2026 🟢 Strong enterprise sales hiring → moving upmarket confirmed COMPETITIVE IMPLICATION: Expect Stripe to pitch AI-powered reconciliation to CFOs in 6 months. Crypto rails product likely announced at Stripe Sessions 2026.
# Competitor Hiring Intel Agent import requests H = {"Authorization": "Bearer fxp_live_YOUR_KEY"} BASE = "https://api.foxapis.com" linkedin = requests.post(f"{BASE}/v1/talent/linkedin/jobs", headers=H, json={"company": "Stripe"}).json() indeed = requests.post(f"{BASE}/v1/talent/indeed/job", headers=H, json={"company": "Stripe"}).json() ziprec = requests.post(f"{BASE}/v1/talent/ziprecruiter/search", headers=H, json={"company": "Stripe"}).json()
Businesses you could build with this agent
Job postings are the most honest signal a company publishes. They can't lie about what they're building.
🎯
Sales Intelligence Platform
Sales teams target companies hiring for roles that signal they need your product. "They're hiring 5 DevOps engineers → sell them infrastructure tooling." $200-500/mo/seat.
Buyer: B2B SaaS sales teams
🔭
Competitor Roadmap Tracker
Founders track competitor hiring to reverse-engineer their product roadmap. Weekly Slack digest: "Figma posted 3 AI engineer roles this week." $49-149/mo SaaS.
Buyer: startup founders
📉
Layoff Early Warning Signal
When a company freezes hiring and removes job postings, it often precedes layoffs by 60-90 days. Alert service for employees, investors, or recruiters. $29/mo.
Buyer: employees, investors
🏢
Enterprise Talent Strategy Report
Consulting deliverable: "Here's what your top 10 competitors are hiring for and what it means." Sell as a quarterly report at $5-15k to Fortune 500 HR and strategy teams.
Buyer: enterprise strategy
Blueprint v1.0 · FoxAPIs

Breaking Narrative
Tracker Agent

Detects emerging stories 24-48 hours before they hit mainstream media by monitoring where sophisticated audiences — developers, scientists, investors — talk first. Turns noise into signal for newsletters, journalists, and growth teams.

4 FoxAPIs endpoints Claude trend synthesis Journalists · Newsletters · Growth
~48 credits/run
▶ Test live
4
Endpoints
3
Pipeline steps
~75s
Full run time
0
Human touches
📡 → 🔥 → 📰
Early signals → Trending brief
Sample output — "AI agents" topic
Live agent output
# BREAKING NARRATIVE BRIEF — "AI Agents" · 2026-03-09T06:00Z SIGNAL STRENGTH: 🔥 HIGH — trending across all 4 channels simultaneously REDDIT: r/MachineLearning: 847 pts r/LocalLLaMA: 1,204 pts Top: "Claude's computer use solved a 3-hour task in 4 minutes" Sentiment: +89% Posts/24h: +340% above baseline HN: 2 front page stories today "We replaced our QA team with an agent loop"892 pts, 347 comments PREPRINTS: 14 new papers mention "AI agent" in methods section Science adoption signal — crossing into mainstream research VELOCITY: ACCELERATING — volume +67% week-over-week MAINSTREAM ETA: 24-72 hours based on pattern matching ANGLE: "AI agents replacing knowledge workers" — write it now, not Friday
# Breaking Narrative Tracker Agent import requests H = {"Authorization": "Bearer fxp_live_YOUR_KEY"} BASE = "https://api.foxapis.com" topic = "AI agents" reddit = requests.post(f"{BASE}/v1/social/reddit/search", headers=H, json={"query": topic, "sort": "hot"}).json() hn = requests.post(f"{BASE}/v1/social/hackernews/search", headers=H, json={"query": topic}).json() twitter = requests.post(f"{BASE}/v1/social/twitter/search", headers=H, json={"query": topic}).json() preprints = requests.post(f"{BASE}/v1/science/biorxiv/preprints", headers=H, json={"query": topic, "days_back": 7}).json()
Businesses you could build with this agent
Being 48 hours ahead of the news cycle is worth millions to the right buyers.
📡
Early Signal Newsletter
"What's about to be big this week" — weekly briefing for operators and investors. Agent finds the stories before they go mainstream. 20k subscribers × $29/mo = $580k ARR.
Buyer: operators, investors
🗞️
Newsroom Intelligence Tool
Sell to digital media companies as an editorial tool. Reporters get a daily "emerging story" brief. $500-2k/mo per newsroom. Strong upsell to multiple reporters/seats.
Buyer: digital media, newsrooms
📈
Content Timing Platform
Brands and content agencies need to know when to publish to ride a wave. "This topic is building — publish now." Sell as a content strategy SaaS at $200/mo.
Buyer: content agencies, brands
🎙️
Podcast Booking Intelligence
Podcast producers book guests on trending topics. This agent identifies what's building before it peaks so bookings align with the cultural moment. $149/mo SaaS.
Buyer: podcast producers, PR
Blueprint v1.0 · FoxAPIs

Science Communicator
Brief Agent

Finds the most important new research on any topic and translates it into plain English — with context, caveats, and implications. Used by health content teams, science journalists, patient advocates, and anyone who needs to explain complex research without a PhD.

2 FoxAPIs endpoints Claude translation Health media · Patient orgs · EdTech
~30 credits/run
▶ Test live
2
Endpoints
3
Pipeline steps
~45s
Full run time
0
Human touches
🔬 → 🧠 → 📝
Papers + Preprints → Plain English brief
Sample output — Alzheimer's immunotherapy
Live agent output
# SCIENCE COMMUNICATOR BRIEF — Alzheimer's Immunotherapy BIG PICTURE: A new class of antibody drugs is showing the first real evidence of slowing Alzheimer's progression in large clinical trials. WHAT THE RESEARCH SAYS: 📄 Lecanemab — NEJM 2025 (Peer-reviewed · 1,795 patients) Cognitive decline reduced 27% vs placebo over 18 months Plain English: "Patients stayed sharper for longer — not a cure, but meaningful" 📄 Donanemab — JAMA 2025 · 35% slower progression, early-stage patients Plain English: "Earlier treatment = better results. Timing matters enormously." 📝 Combination therapy preprint (bioRxiv) — NOT peer-reviewed yet ⚠ Plain English: "Promising but very early — don't change treatment based on this" CAVEAT: "Slowing progression" ≠ "reversing disease." Brain swelling in ~35% of patients. Talk to a neurologist, not a headline.
# Science Communicator Brief Agent import requests H = {"Authorization": "Bearer fxp_live_YOUR_KEY"} BASE = "https://api.foxapis.com" topic = "Alzheimer's immunotherapy treatment" papers = requests.post(f"{BASE}/v1/science/pubmed/search", headers=H, json={"query": topic, "max_results": 8, "sort": "pub_date"}).json() preprints = requests.post(f"{BASE}/v1/science/biorxiv/preprints", headers=H, json={"query": topic, "days_back": 60}).json() # Claude prompt: "Translate for general audience. Distinguish peer-reviewed from preprints. Include caveats."
Businesses you could build with this agent
Science communication is broken. Most research never reaches the people it could help. There's serious money in fixing that.
💊
Patient Health Intelligence
Patients with serious conditions desperately want to understand new research. "What does this Alzheimer's study mean for me?" Weekly plain-English digest. $19/mo B2C.
Buyer: patients, caregivers
🏥
Clinician Briefing Service
Doctors don't have time to read all the research in their specialty. Weekly 5-minute brief on new studies relevant to their practice. $99/mo per physician specialty.
Buyer: physicians, clinicians
🎓
Science Journalism Tool
Science journalists need rapid, accurate research briefings. Sell to digital media companies and science desks as a research acceleration tool. $300-1k/mo per team.
Buyer: science journalists
📣
Research Institution PR Tool
Universities need to communicate their research in press-ready language. Auto-generate lay summaries and press releases from PubMed entries. $500/mo per institution.
Buyer: university comms teams
More Agent Blueprints
Copy, customise, and ship. All run on FoxAPIs data.
📊
Developer Trend Radar
Monitor GitHub, HackerNews, npm, PyPI for emerging tools in your space. Weekly Slack digest.
github/repohackernewsnpmpypi
🪙
Crypto Signal Agent
Correlate price movement + Reddit/Twitter sentiment + GitHub activity. Alert when all three align.
coingeckoredditgithub
🎵
Artist Discovery Agent
Find emerging artists before they blow up. SoundCloud + Last.fm momentum scoring daily.
soundcloudlastfm
⚙️
n8n Brand Monitor
FoxAPIs + MentionFox as n8n nodes. Trigger on mention → enrich → score → CRM → Slack. Import ready.
n8n templateany endpoint
🤖
Claude MCP Tool
Register FoxAPIs as an MCP server. Claude Desktop users call endpoints directly in conversation.
MCP serverClaude Desktop
📰
Content Repurposing Agent
Best brand mentions → extract quotes → generate social card → post with optimal hashtags via RiteKit.
MentionFox scanRiteKit

Start building your first agent

500 free trial calls. No credit card. Copy the blueprint, add your key, ship today.

Chess Tournament Betting Intelligence Agent
~6 credits/run
{
  "username": "magnuscarlsen",
  "chess_ratings": {
    "blitz": 3189, "rapid": 2860, "bullet": 3236
  },
  "win_rate": 0.71,
  "followers": 14821,
  "lichess_ratings": {
    "blitz": 3024, "rapid": 2890,
    "puzzle": 3412
  },
  "play_time_hours": 8241
}

Sports betting dashboards, tournament analysis tools, chess club admin portals, fantasy sports platforms, client deliverables for esports brands

▶ Test live first
🚨
Brand Crisis Detection Agent
~38 credits/run
{
  "brand": "acme-corp",
  "crisis_score": 7.4,
  "reddit_mentions": 47,
  "reddit_sentiment": "negative",
  "trustpilot_score": 3.1,
  "recent_reviews": [
    {"text": "Support disappeared...", "stars": 1}
  ],
  "twitter_signal": "volume_spike_3x",
  "recommended_action": "escalate"
}

PR agency dashboards, brand manager Slack bots, SaaS admin panels, client reporting portals, internal ops tools

▶ Test live first
⚔️
Competitor Intelligence Agent
~99 credits/run
{
  "competitor": "rival-saas.com",
  "g2_rating": 4.2,
  "monthly_traffic": 284000,
  "traffic_trend": "+18%",
  "reddit_sentiment": "mixed",
  "ai_visibility": "mentioned in 3/5 answers",
  "hiring_velocity": "12 open roles",
  "tech_stack": ["Segment", "Intercom", "AWS"],
  "threat_score": 6.8
}

Competitive intel reports, sales battle cards, investor decks, product roadmap meetings, agency client deliverables

▶ Test live first
💼
Lead Enrichment Agent
~68 credits/run
{
  "domain": "prospect.io",
  "monthly_visits": 91000,
  "visit_trend": "+22%",
  "tech_stack": ["Salesforce", "Marketo", "Stripe"],
  "trustpilot_score": 4.3,
  "open_roles": 8,
  "hiring_signal": "sales_expansion",
  "icp_score": 8.1,
  "recommended_action": "prioritize"
}

CRM enrichment pipelines, SDR toolkits, sales automation platforms, account-based marketing dashboards, outbound sequencers

▶ Test live first
🧬
Biotech Catalyst Monitor
~45 credits/run
{"upcoming_events":[
  {"trial":"KEYNOTE-942","phase":"3",
   "completion":"2026-Q3","impact":"HIGH"},
  {"trial":"mRNA-4359","phase":"1/2",
   "status":"Recruiting"}],
 "fda_safety_flags":0,
 "key_papers":2,
 "thesis":"Phase 3 OS readout Q3 2026 is key catalyst"
}

Biotech hedge funds, pharma business development teams, life sciences VCs, medical affairs teams, buy-side analysts covering biopharma

▶ Test live first
💊
Drug Safety Signal Detector
~35 credits/run
{"drug":"semaglutide",
 "adverse_event_volume":47832,
 "yoy_change":"+340%",
 "emerging_signal":"gastroparesis",
 "signal_trend":"+89% past 6mo",
 "literature_corroboration":true,
 "risk_level":"MEDIUM-HIGH"
}

Pharma pharmacovigilance teams, hospital formulary committees, patient safety advocates, health journalists, short-side biotech investors

▶ Test live first
🏥
Clinical Trial Landscape Agent
~25 credits/run
{"condition":"TNBC",
 "total_trials":847,"recruiting":312,
 "phase3_count":48,
 "dominant_sponsors":["AstraZeneca","Roche","Merck"],
 "white_space":"BRCA-PARP-IO combos underdeveloped",
 "upcoming_readouts":7
}

CROs, pharma business development, patient advocacy groups, biotech investors, academic medical centers, clinical trial site networks

▶ Test live first
🚀
Startup Traction Radar
~72 credits/run
{"company":"linear.app",
 "traction_score":8.7,
 "verdict":"STRONG GROWTH",
 "traffic_growth":"+34% YoY",
 "github_commits_week":47,
 "reddit_sentiment":"+82%",
 "warning":"No new eng roles posted"
}

VCs doing due diligence, corporate development teams, acqui-hire scouts, angels, accelerators, journalists covering startups

▶ Test live first
⚖️
Patent Moat Analyzer
~30 credits/run
{"company":"CRISPR Therapeutics",
 "patent_count":312,
 "filing_velocity":"+28% YoY",
 "dominant_cpc":["C12N-9","C12N-15"],
 "academic_citations":847,
 "moat_width":"WIDE",
 "moat_depth":"DEEP",
 "risk_flags":["Broad Institute dispute","Thin China filings"]
}

M&A lawyers, IP counsel, private equity due diligence teams, life sciences VCs, corporate strategy teams, patent litigation support

▶ Test live first
🔗
DeFi Protocol Health Report
~55 credits/run
{"protocol":"aave",
 "tvl_usd":21400000000,
 "tvl_30d_change":"+12.3%",
 "chain_count":12,
 "whale_concentration":"34% top 10 wallets",
 "audit_count":6,
 "risk_score":"LOW-MEDIUM"
}

Crypto fund managers, DeFi treasury teams, DAO governance participants, on-chain analysts, compliance teams, crypto journalists

▶ Test live first
👥
Talent Market Intel Agent
~40 credits/run
{"role":"ML Engineer","area":"Texas",
 "bls_median":136620,"bls_mean":149840,
 "market_posted_median":148000,
 "market_premium":"+8% above BLS",
 "demand_signal":"STRONG +23% postings",
 "negotiation_anchor":"$155K mid-level"
}

HR leaders, CFOs benchmarking compensation, recruiters, job seekers negotiating offers, compensation consultants, HR tech platforms

▶ Test live first
🔍
Competitor Hiring Intelligence
~55 credits/run
{"company":"Stripe",
 "open_roles":312,"new_30d":89,
 "hiring_signal":"ACCELERATING",
 "roadmap_inferences":[
   "Crypto payments push — 18 stablecoin roles",
   "AI fraud product — 12 ML+LLM roles",
   "EM expansion — 9 APAC/MENA/LATAM roles"
 ]
}

Sales teams building battle cards, investors monitoring portfolio companies, strategy teams, founder competitive research, journalists covering tech

▶ Test live first
📡
Breaking Narrative Tracker
~48 credits/run
{"topic":"AI agents",
 "signal_strength":"HIGH",
 "channels_trending":4,
 "velocity":"+67% week-over-week",
 "mainstream_eta":"24-72 hours",
 "recommended_angle":"AI agents replacing knowledge workers"
}

Newsletter writers, journalists, content teams, growth hackers, PR agencies, podcast producers, thought leaders building audiences

▶ Test live first
🔬
Science Communicator Brief
~30 credits/run
{"topic":"Alzheimer's immunotherapy",
 "peer_reviewed_papers":8,
 "preprints":3,
 "plain_english_summary":"...",
 "key_finding":"27% slower cognitive decline",
 "caveat":"Not a cure. Brain swelling in 35%.",
 "audience_level":"general"
}

Health content teams, science journalists, patient advocacy organizations, EdTech platforms, hospital communications departments, medical affairs

▶ Test live first