💰 Become a Data Broker
What $500/year subscription could YOUR tool replace for $0.10/response? What fragmented API mess could YOUR tool normalize for $0.001/call? Bloomberg. SensorTower. SEMrush. ZoomInfo. PitchBook. These companies gatekeep data behind enterprise contracts. You can unbundle them — as curated intelligence for the Context app, as normalized data for SDK developers, or both. Context Protocol is a decentralized marketplace where AI agents pay for data. Build an MCP tool that delivers value, and you earn 90% of usage fees (Query responses and eligible Execute calls).Apply Now
Submit your tool proposal
Build & List Your Tool
Learn how to build, secure, and list your MCP server on the marketplace.
🎯 North Star: We fund MCP tools that deliver data people currently overpay for. That means two things:
- Curated intelligence (Query mode): Unbundle $500/year subscriptions into $0.10/response insights — Context is the librarian, your tool provides the analysis.
- Normalized data infrastructure (Execute mode): Replace fragmented APIs with clean, typed, consistent data endpoints at $0.001/call — the developer’s agent is the librarian, your tool provides the building blocks.
🎯 The Grant Pool
We’re allocating $10,000 USD to bootstrap the supply side of the Context Marketplace.| Metric | Target |
|---|---|
| Total Pool | $10,000 USD |
| Grant Range | $500 – $1,000 per tool |
| Expected Tools | 10–20 new MCP servers |
| Payment | USDC (Base network) |
🏆 Funding Tiers
What Makes a Tier S Tool?
It depends on who you’re building for. For Query mode (Context is the librarian — $0.10/response): We pay for answers, not raw data dumps. Tier S Query tools do the heavy lifting so the AI can synthesize immediately.| Feature | Raw Dump (❌) | Curated Intelligence (✅) |
|---|---|---|
| Crypto | ”Here’s the transaction list" | "Top 5 whales accumulating this token right now” |
| Finance | ”Here’s the SEC filing PDF" | "Key risk factors extracted with sentiment score” |
| E-commerce | ”Here are Amazon search results" | "Estimated monthly revenue: $47K, trending up 23%“ |
| Competitive Intel | ”Here’s their homepage HTML" | "Tech stack: Stripe, Vercel, Segment. 2.3M monthly visitors” |
| Feature | Single API Wrapper (❌) | Normalized Data Product (✅) |
|---|---|---|
| Crypto | ”Here’s Binance prices" | "Cross-exchange prices in unified { exchange, pair, price, volume } schema” |
| Finance | ”Here’s one SEC filing" | "Parsed 10-K/10-Q with structured metrics, comparable across companies” |
| E-commerce | ”Here’s one retailer’s data" | "Product pricing across Amazon, Walmart, Target in consistent format” |
| Competitive Intel | ”Here’s one data source" | "Tech stack + traffic + hiring signals normalized per domain” |
🦄 Tier S: $1,000 + Revenue Share
High-value tools that replace expensive subscriptions or fragmented API integrations. For Query mode: complex pipelines, novel analysis, or hard-to-access sources that unlock data people currently pay $500–$20,000/year for. For Execute mode: normalized data infrastructure across multiple sources that eliminates painful multi-API integration for agent builders.🛠️ Tier A: $500 + Revenue Share
High-utility tools agents use frequently. For Query mode: reliable, well-documented tools with smart curation. For Execute mode: well-typed, single-source data endpoints with consistent schemas and good coverage.🚀 Tier B: Revenue Share Only
Simple wrappers and adapters. No upfront grant, but immediate listing. Start earning from day one.All tiers earn revenue share. Even Tier B tools generate USDC the moment agents use them. You keep 90% of every fee.
🔍 How to Find Unbundling Opportunities
Before pitching, do this research. Here’s a real example of how to identify a fundable tool:Example: Finding a SensorTower Unbundling Opportunity
Step 1: Search for frustrated paying users Go to Grok and search Twitter:"SensorTower" "pay" OR "subscription" OR "expensive""app analytics" "not worth" OR "canceled" OR "only need"
“I pay $400/month for SensorTower just to check competitor download estimates before investor calls. Everything else in the dashboard I never touch.”
“SensorTower is worth it for the App Store keyword rankings alone. Rest is noise.”Step 3: Isolate the $0.10 response From this research, you’d identify: “App download estimates by bundle ID” is the core value. Build a tool that delivers just that. The specific data point people are paying $5K/year to access occasionally. Step 4: Pitch with evidence Your proposal should say: “SensorTower charges $5K/year. Users on Twitter report paying primarily for download estimates. Here’s my tool that delivers that specific data point for $0.10/response. Here are 3 tweets proving demand.”
This is the bar for Query-mode tools. Every idea in the curated intelligence section has been evaluated against this standard.
Example: Finding an Execute-Mode Normalization Opportunity
Step 1: Search for frustrated developers Go to Grok and search Twitter, GitHub issues, or Reddit:"different schema" "exchange" OR "API" site:github.com"normalize" "crypto" "API" "pain" OR "nightmare" OR "inconsistent"
“Spent 3 days just getting Binance, Coinbase, and Kraken order book data into the same format. Every exchange returns depth differently.”
“Why does every SEC filing parser return a completely different JSON structure? I just want balance sheet data in a consistent schema.”Step 3: Isolate the $0.001 method From this research, you’d identify: “normalized order book data across exchanges” is the value. Build a tool where
get_orderbook("BTC/USDT", "binance") and get_orderbook("BTC/USDT", "kraken") return the exact same typed schema. The developer pays fractions of a cent per call instead of building and maintaining the normalization themselves.
Step 4: Pitch with evidence
Your proposal should say: “Developers integrating multiple exchange APIs spend days normalizing schemas. Here are 3 GitHub issues/tweets showing the pain. My tool provides unified typed data across 10 exchanges at $0.001/call. Here’s the schema.”
This is the bar for Execute-mode tools. Show us the fragmented API landscape and the developers struggling with it.
📋 Request for Builders (RFB)
We’re actively funding tools across these verticals. These ideas target specific features of expensive subscriptions (Query mode) and fragmented data that needs normalization (Execute mode), not commodity data. If you have a novel idea with evidence of demand, pitch it.🧠 Request for Builders: Query Mode Intelligence
The ideas below are Query mode tools — curated intelligence that replaces expensive subscriptions at $0.10/response. Context is the librarian; your tool provides the analysis.🏢 Competitive Intelligence & Sales
Replaces: ZoomInfo ($15K/yr), SensorTower ($5K/yr), BuiltWith ($3K/yr), SimilarWeb| Tool Idea | Description | Tier |
|---|---|---|
| App Store Intel | Downloads, revenue estimates, ASO keywords for any App Bundle ID | S |
| Tech Stack Detector | Scan any domain → AWS, Stripe, Shopify, Segment, etc. | A |
| Website Traffic Estimator | Monthly visitors, traffic sources, engagement metrics. Note: web traffic as a standalone metric is declining as distribution shifts to AI interfaces. Higher value if combined with app usage, social engagement, or AI-referral signals | A |
| Company Enrichment | Domain → company size, funding, industry, key people | S |
| Job Posting Analyzer | What’s a company hiring for? Signals growth & priorities | A |
| LinkedIn Company Scanner | Employee count trends, departures, hiring velocity | S |
| Ad Spend Estimator | Estimate competitor Google/Meta ad spend and creative strategy | S |
| Social Mention Tracker | Brand mentions across Twitter, Reddit, HN with sentiment | A |
📈 Financial Markets & Research
Replaces: Bloomberg ($24K/yr), FactSet ($12K/yr), Capital IQ ($20K/yr) Bloomberg’s value is parsed, structured financial data with analysis, not raw filings you can get from EDGAR for free. Build tools that do the heavy lifting of extraction and interpretation.| Tool Idea | Description | Tier |
|---|---|---|
| SEC Filing Parser | Turn 10-K/10-Q into structured JSON with key metrics, risk factors, and YoY changes | S |
| Earnings Call Analyzer | Extract management quotes, sentiment shifts, guidance changes from transcripts | S |
| Insider Trading Tracker | Real-time Form 4 filings with context: who’s buying/selling and historical patterns | A |
| Institutional Holdings | 13F filings parsed: what are hedge funds accumulating? Position changes quarter-over-quarter | A |
| IPO Pipeline Analyzer | Upcoming listings with S-1 analysis, pricing expectations, comparable valuations | A |
⚡ Crypto & DeFi
Replaces: Nansen ($2.5K/yr), Arkham ($1.5K/yr) Nansen’s value isn’t rug checking or gas prices. It’s wallet labeling, smart money identification, and entity clustering. That’s what people pay $2.5K/year for. Build tools that deliver those specific insights.| Tool Idea | Description | Tier |
|---|---|---|
| Wallet Profiler | Total P&L, biggest wins, current positions, activity patterns (the core Nansen feature) | S |
| Smart Money Tracker | Who are the wallets with consistent alpha? What are they accumulating right now? | S |
| Entity Clustering | Which wallets belong to the same entity? Surface connected wallets from on-chain patterns | S |
| Whale Alert with Context | Not just “big transfer”. Labeled entities, historical context, likely intent | S |
| Wallet Attribution | Label unknown wallets: Is this a CEX? A fund? A known trader? Cross-reference patterns | S |
What we’re NOT funding in crypto: Honeypot detectors, gas oracles, yield aggregators, bridge routers. These are already solved by free tools (DeFiLlama, CoinGecko, exchange APIs) with no premium tier worth unbundling.What IS worth building: For Query mode, wallet intelligence is the premium — that’s what the $2.5K/year Nansen subscription pays for. For Execute mode, cross-exchange normalized data (prices, order books, funding rates in a unified schema you build and maintain) is valuable infrastructure that eliminates the pain of integrating each exchange API separately.
🛒 E-commerce & Product Research
Replaces: Jungle Scout ($500/yr), Helium 10, Keepa Pro| Tool Idea | Description | Tier |
|---|---|---|
| Amazon Product Analyzer | BSR trends, review sentiment, estimated monthly revenue | S |
| Supplier Finder | Search Alibaba/1688 for manufacturers matching specs | A |
| Price History Tracker | Historical pricing across major retailers | A |
| Review Sentiment Analyzer | Aggregate complaints and praises from product reviews | A |
👨💻 Developer Tools
Replaces: Snyk ($500/yr), Sonatype ($1K/yr), enterprise security scanning| Tool Idea | Description | Tier |
|---|---|---|
| Dependency Vulnerability Scanner | Deep CVE analysis with exploit likelihood scoring (what Snyk charges $500/yr for) | S |
| Supply Chain Risk Analyzer | Package author history, maintainer changes, typosquat detection, dependency tree risks | S |
| GitHub Repo Analyzer | Code quality, bus factor, activity patterns, license risks, contributor reputation | A |
| License Compliance Checker | Scan dependencies for GPL/copyleft licenses that could affect your commercial use | A |
⚖️ Legal & Compliance
Replaces: LexisNexis, Westlaw, PACER subscriptions| Tool Idea | Description | Tier |
|---|---|---|
| Court Filing Monitor | Track federal cases involving specific companies or people | S |
| Patent Search | Find patents by topic, claims, assignee, filing date | A |
| Trademark Lookup | Is this name registered? Potential conflicts? | A |
| Regulatory Filing Tracker | FDA approvals, FCC filings, EPA permits | A |
| Corporate Registry Search | Business filings across state databases | A |
🏠 Real Estate & Location
Replaces: CoStar ($15K/yr), Zillow API, location analytics platforms| Tool Idea | Description | Tier |
|---|---|---|
| Property Valuation | Estimate property value from address with comparable sales | S |
| Rental Comp Finder | Comparable rents in any area | A |
| Permit Tracker | What’s being built or renovated? | A |
| Foot Traffic Estimator | Estimate daily visitors to any location | S |
| Demographic Lookup | Census data, income levels, population by zip | A |
🎬 Media & Entertainment
Replaces: Chartmetric ($5K/yr), influencer analytics platforms ($2K/yr) Note: Social Blade has a free tier for basic YouTube stats. We fund tools that go deeper: authenticity scoring, cross-platform analysis, and data Social Blade doesn’t surface.| Tool Idea | Description | Tier |
|---|---|---|
| Influencer Authenticity Scorer | Fake follower detection, engagement authenticity, audience quality (what brands pay $2K/yr to verify) | S |
| Podcast Analytics | Estimated downloads, listener demographics, sponsor history (data locked behind Chartmetric) | S |
| Creator Brand Safety | Scan creator history for controversial content, brand risks, audience sentiment | A |
| Music Rights Lookup | Who owns this track? Licensing complexity score, sync history | A |
🔬 Academic & Research
Replaces: Web of Science ($5K/yr), Scopus, specialized research databases Note: Semantic Scholar and Google Scholar are free. We’re not funding basic paper search. We fund tools that deliver analysis and synthesis that researchers currently pay for.| Tool Idea | Description | Tier |
|---|---|---|
| Research Landscape Mapper | Access proprietary citation graph data (impact factors, h-index, institutional affiliations, funding sources) locked behind Web of Science/Scopus paywalls. The value is the data access, not the synthesis — AI already synthesizes well, but it cannot access paywalled citation metrics | S |
| Grant Opportunity Matcher | Find funding opportunities matching research criteria across NSF, NIH, private foundations | A |
| Clinical Trial Matcher | Match patient criteria to active trials with eligibility analysis | A |
| Patent-to-Paper Linker | Connect academic research to commercial patents. Who’s commercializing what? | A |
🌍 Real World Data & Utilities
Tools that aggregate paid data sources or deliver analysis beyond free alternatives Note: We’re not funding weather APIs (free everywhere), basic flight tracking (FlightAware free tier), or news aggregation (Google News exists). We fund tools that deliver unique aggregation or analysis.| Tool Idea | Description | Tier |
|---|---|---|
| Universal Package Tracker | Track any shipment across all carriers with unified status and delivery predictions | A |
| Domain + Brand Availability | Check domain, social handles, AND trademark conflicts in one call. Saves hours of manual research | A |
| Business Entity Verification | Verify business registration, good standing, and officer information across state databases | A |
🔌 Request for Builders: Execute Mode Infrastructure
Beyond curated intelligence, there’s an equally valuable category of tools designed for Execute mode: normalized data infrastructure that eliminates the pain of integrating fragmented APIs. Execute-mode tools serve SDK developers whose agents iterate over structured data at ~$0.001/call. The value isn’t in the analysis — it’s in the normalization, consistency, and reliability of the data across multiple sources.The evidence bar for Execute mode is different. Instead of “show us the expensive subscription,” show us the fragmented API landscape — the 5 different exchanges with 5 different schemas that developers currently integrate and maintain separately. If an agent builder would rather pay $0.001/call than spend a week normalizing data from multiple sources, that’s a fundable tool.Reference implementation: The Normalized Data Provider example demonstrates the ideal Execute-mode architecture: background ingestion from Binance + Hyperliquid into a local cache, normalized schema, zero upstream rate limits at serving time.
⚡ Crypto & DeFi Infrastructure
Replaces: integrating Binance + Coinbase + Kraken + OKX + Bybit APIs individually| Tool Idea | Description | Tier |
|---|---|---|
| Cross-Exchange Price Feed | Unified { exchange, pair, price, volume, timestamp } schema across 10+ exchanges. One method, consistent types | S |
| Order Book Aggregator | Normalized depth data across exchanges — same schema whether it’s Binance or Kraken | A |
| Multi-Chain Transaction Normalizer | Unified transaction format across EVM chains (Ethereum, Base, Arbitrum, Polygon). Same schema, different chains | S |
| DeFi Position Normalizer | Yield positions, LP data, and staking across Aave, Compound, Lido, etc. in a consistent format | S |
| Funding Rate Feed | Perpetual funding rates across all major perp exchanges, normalized and comparable | A |
📈 Financial Data Infrastructure
Replaces: integrating EDGAR + international filings + FRED + BLS separately| Tool Idea | Description | Tier |
|---|---|---|
| Multi-Source Financial Statements | Balance sheet, income statement, cash flow in a consistent schema — whether the source is SEC, SEDAR, or Companies House | S |
| Economic Indicator Feed | Normalized macro data (GDP, CPI, unemployment, rates) across FRED, BLS, ECB, and BOJ. One schema, global coverage | S |
| Corporate Events Feed | Earnings dates, dividend announcements, splits, M&A — normalized across multiple data sources into a single event schema | A |
🏢 Business & Competitive Intelligence Infrastructure
Replaces: integrating LinkedIn + Crunchbase + BuiltWith + SimilarWeb separately| Tool Idea | Description | Tier |
|---|---|---|
| Multi-Source Company Data | Company metadata (size, funding, industry, tech stack) normalized across Crunchbase, PitchBook, LinkedIn, BuiltWith into one typed schema | S |
| Job Market Feed | Job postings normalized across Indeed, LinkedIn, Greenhouse, Lever — consistent { company, role, level, location, salary_range } per listing | A |
| Domain Intelligence Feed | DNS records, SSL certs, WHOIS, tech stack, traffic estimates — all from one method with a consistent schema per domain | A |
🛒 E-commerce & Pricing Infrastructure
Replaces: integrating Amazon + Walmart + Target + Shopify APIs separately| Tool Idea | Description | Tier |
|---|---|---|
| Multi-Retailer Price Feed | Product pricing across Amazon, Walmart, Target in a unified { retailer, product, price, availability, timestamp } schema | S |
| Review Aggregation Feed | Product reviews normalized across retailers — same sentiment schema whether it’s Amazon or Best Buy | A |
Execute-mode tools can also serve Query mode. If you set
surface: "both" and queryEligible: true in your _meta, the Context app can use your normalized data as a source for curated responses too. Build for Execute, unlock both revenue streams with one line of config. See Choosing a Mode.📝 How to Apply
Create Your Account
Sign in at ctxprotocol.com to create your account. This generates your embedded wallet the address where you’ll receive grants and revenue.
Submit Proposal
Fill out our application form with:
- Your email — use the same email that’s on your GitHub (public profile email or commit email). We verify GitHub ownership automatically, and mismatched emails will delay your review.
- Your wallet address (from Step 1 — required for payment)
- Tool name and description
- What expensive service does this replace? (This helps us understand the value)
- Which tier you’re targeting
- Technical approach (1-2 paragraphs)
- Your background (GitHub, portfolio)
Build & Deploy
Once approved, build your MCP server using our SDK:Constraint: Tools must return data in under 60 seconds. Focus on instant retrieval and analysis.Follow the Build Tools Guide for the complete pattern.
Register Your Tool
Go to ctxprotocol.com/contribute to register your tool:
- Paste your MCP endpoint URL
- Use the MCP Server Analysis Prompt to generate your submission name, description, and category
- Set your listing response price to $0 for initial testing (you can change it after we review)
- Advanced (optional): If you also want SDK developers to call your methods directly with per-call billing (Execute mode), set a default execute price — typically ~1/100 of your response price. Skip this if you’re starting with Query mode only; you can enable it later.
- Add stake to activate your tool
Debug & Refine
Before requesting review, test your tool in the Chat app:
- Enable Developer Mode in Settings → Developer Settings
- In the right sidebar tool selector turn off Auto mode and select your tool
- Send a message to query your tool — you should see a response
- Check the Developer Logs preview card at the bottom of the response for errors
- Click Copy All on the logs and paste into an AI assistant to diagnose issues
Request Review
Once your tool is submitted, tested, and working correctly on the marketplace, email grants@ctxprotocol.com with:
- Your tool name and endpoint URL
- Your tool ID from ctxprotocol.com (go to Developer → Tools and copy the ID shown on your tool card — this is how we identify your tool for testing)
- Link to your public GitHub repo for the MCP server (for code review)
- 3-5 robust test questions that thoroughly exercise your tool’s capabilities
- Expected responses for each question (so we know what “correct” looks like)
- Your wallet address (for payment verification)
Get Paid
Once verified, you’re live on the marketplace!
- Update your listing response price from $0 to your desired response fee
- Optionally enable execute pricing for methods you want in Execute mode
- Agents discover and use your tool across Query + Execute
- You earn 90% of eligible fees in USDC
- Grant payment follows the schedule below
💸 Payment Terms
Quality Requirements
To receive grant payments, your tool must:| Requirement | Why |
|---|---|
| ✅ Pass schema validation | outputSchema must match actual responses |
| ✅ Sub-60s response time | Agents expect fast data |
| ✅ 95%+ uptime (30 days) | Reliable for the second payment |
| ✅ Handle errors gracefully | Return structured errors, not crashes |
🤝 Builder Support
You’re not alone. We’re here to help you ship.Email Support
Send proposals and questions directly to the team.
GitHub Examples
View reference implementations and code patterns.
❓ FAQ
How long does approval take?
How long does approval take?
We review proposals within 48 hours. Complex proposals may require a quick call.
Can I build multiple tools?
Can I build multiple tools?
Yes, but one at a time. Complete your current grant project before applying for another. This ensures quality and focus.
What if my tool idea isn't on the RFB list?
What if my tool idea isn't on the RFB list?
The RFB is a starting point, not a limit. If you have evidence of an expensive subscription your tool unbundles, pitch it. But show your research (see “How to Find Unbundling Opportunities” above).
Do I keep the revenue after the grant?
Do I keep the revenue after the grant?
Yes! The grant is a one-time bootstrap. You keep 90% of all eligible usage fees forever that’s the whole point.
What chain is payment on?
What chain is payment on?
All payments (grants and revenue) are in USDC on Base. Low fees, deferred settlement (settled automatically after successful execution).
Can I use existing open-source code?
Can I use existing open-source code?
Yes, as long as you comply with the license. Wrapping an existing API or open-source tool is fine just make it useful for agents.
What's the response time limit?
What's the response time limit?
Tools must return data in under 60 seconds. This isn’t the place for long-running simulations focus on instant data retrieval and analysis.
🚀 Ready to Build?
The marketplace is hungry for data. AI agents are querying tools right now, and they’ll pay for yours. Think about the data you wish you had access to. The research that costs too much. The insights locked behind enterprise contracts. The analysis you do manually that could be automated. Build it. List it. Get paid.Apply Now
Submit your proposal and start earning