Documentation Index
Fetch the complete documentation index at: https://docs.ctxprotocol.com/llms.txt
Use this file to discover all available pages before exploring further.
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? CoinGlass. Glassnode. Hyblock. BamSEC. These prosumer subscriptions gatekeep one or two premium features that power users actually pay for every month. You can unbundle any single one of those features, 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). The long-term vision: thousands of unbundled feature slices, shipped by independent contributors worldwide, collectively rival Bloomberg, FactSet, and Capital IQ as a decentralized, user-generated intelligence layer for AI agents. You own the piece you ship.Apply Now
Build & List Your Tool
- Curated intelligence (
Query): a premium answer people would pay for on demand - Normalized infrastructure (
Execute): a narrow typed primitive developers would rather rent than build
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
Tier S: $1,000 + Revenue Share
High-value tools that replace expensive subscriptions or painful integrations.Tier A: $500 + Revenue Share
High-utility tools with clear buyer value and good reliability.Tier B: Revenue Share Only
Simple wrappers and adapters. No upfront grant, but immediate listing. Start earning from day one.Request for Builders (RFB)
We no longer fund broad category wrappers like “crypto analytics,” “competitive intelligence,” or “financial research.” We fund feature-level products with:- a clear buyer
- a painful workflow
- an expensive current substitute
- a narrow, testable surface contract
- an obvious reason to exist on Context instead of as a generic dashboard or API wrapper
Query: the buyer wants a premium answer with evidenceExecute: the buyer wants a narrow typed primitiveBoth: the same underlying data can support both
BTC/ETH exchange-flow regime intelligenceWeak: Crypto analyticsGood: Cross-venue perp funding / OI / liquidation normalizerWeak: Exchange API wrapperStrong RFBs Include
- Buyer
- Painful workflow
- Paid current substitute
- Mode fit:
Query,Execute, orboth - 3-5 must-win prompts or methods
- Evidence or schema contract
- Tight scope boundary
Current Priority Areas
Right now, we are most excited about premium crypto and financial-data workflows because users in those markets already pay for better information and can justify paying per answer or per call.Request for Builders by Marketplace Category
These categories match the ones contributors see in the submission form. Use the category that best matches the buyer workflow you are unbundling.Crypto & DeFi
Highest priority right now. This is the strongest current fit for grants because prosumer crypto traders already pay monthly for better market structure, derivatives, and on-chain positioning data, and the workflows map cleanly to natural-language questions an agent would be asked.| Opportunity | Source subscription | Mode | Buyer | Buyer query example | Priority |
|---|---|---|---|---|---|
| BTC / ETH exchange-flow regime intelligence | CoinGlass / Glassnode | Query | discretionary trader / small desk | ”Are exchanges seeing net BTC inflows or outflows this week, and does that match the price action?” | Highest |
| Liquidation cluster and squeeze-risk intelligence | Hyblock / CoinGlass | Query | perp trader | ”Where is the most stacked long-liquidation zone on ETH right now, and how likely is a hunt before Friday?” | Highest |
| Funding / OI divergence screener | CoinGlass / Hyblock | Query or both | perp trader / strategist | ”Which perp venues are showing the biggest funding vs OI divergence on ETH right now and what does that imply?” | Highest |
| Whale accumulation and exchange-pressure intelligence | Glassnode | Query | crypto macro / swing trader | ”Are whales accumulating or distributing BTC from exchanges this week?” | Highest |
| LTH / STH supply regime-shift intelligence | Glassnode | Query | BTC macro trader | ”Are long-term holders starting to distribute, or is the supply regime still tight?” | Highest |
| Cross-venue perp funding / OI / liquidation normalizer | CoinGlass / Hyblock | Execute | bot builder / quant | (Execute primitive: developer-facing typed schema, not a natural-language query) | Highest |
| MVRV / NUPL / SOPR market-regime composite | Glassnode | Query | crypto macro trader / allocator | ”Where are we in the BTC cycle based on MVRV and NUPL right now?” | High |
| Cross-exchange order book / price normalizer | CoinGlass / exchange-data suites | Execute | execution bot builder | (Execute primitive: keep scope narrow, not every venue) | High |
How to research a strong unbundling idea
How to research a strong unbundling idea
- people complaining they pay for one feature inside an expensive subscription
- people saying a specific feature is the only reason they keep paying
- developers complaining about a specific normalization or integration pain
Why these crypto and finance examples are credible
Why these crypto and finance examples are credible
| Feature slice | Mode | Replaces | Fund? |
|---|---|---|---|
| Liquidation heatmap and squeeze-risk intelligence | Query | liquidation maps + screenshots | Yes |
| Order-book imbalance / liquidity wall scanner | both | depth map + manual chart watching | Yes |
| OI cluster regime-shift intelligence | Query | OI charts + trader interpretation | Yes |
| CVD + aggression / large-trade pressure screener | both | order-flow charts | Maybe |
| Backtesting lab clone | N/A | Hyblock backtesting product | No |
| Feature slice | Mode | Replaces | Fund? |
|---|---|---|---|
| BTC / ETH exchange-flow regime intelligence | Query | spot inflow/outflow dashboards + spreadsheets | Yes |
| Funding / OI divergence screener | Query or both | funding + OI tabs across exchanges | Yes |
| Liquidation cascade risk answer product | Query | liquidation heatmaps | Yes |
| ETF flows + holdings intelligence | both | ETF flow dashboards + manual context gathering | No (see Future Categories) |
| Long / short crowding by venue and asset | both | sentiment / crowding dashboards | Maybe |
| Feature slice | Mode | Replaces | Fund? |
|---|---|---|---|
| Whale accumulation and exchange-pressure intelligence | Query | whale + exchange dashboards | Yes |
| LTH / STH supply regime-shift intelligence | Query | cohort dashboards | Yes |
| MVRV / NUPL / SOPR market-regime composite | Query | cycle dashboards | Yes |
| Exchange net position + balance normalizer | both | manual API pulls + chart exports | Yes |
| Generic on-chain analytics wrapper | N/A | Glassnode API | No |
| Feature slice | Mode | Replaces | Fund? |
|---|---|---|---|
| SEC filing delta intelligence | Query | filing comparison workflow | Yes |
| Earnings call transcript delta intelligence | Query | manual transcript re-reads | Yes |
| Sell-side rating / target-revision velocity | Query or both | EE / revision screens | Yes (stricter bar) |
| Insider cluster-buy intelligence | Query or both | insider screening workflow | Yes |
| Short-interest / squeeze-risk regime | Query or both | Ortex / S3 Partners dashboards | Yes |
| 13F / institutional-ownership change intelligence | Query or both | WhaleWisdom-style ownership dashboards | Yes |
| Corporate credit / CDS-spread anomaly intelligence | Query | Bloomberg credit feeds | Yes (stricter bar) |
| Supply-chain shock exposure intelligence | Query | SPLC + manual risk research | No (build complexity, not framing) |
| Full Bloomberg-for-agents clone | N/A | the terminal | No |
Financial Markets
High priority, with a sharper filter than before. This category is strongest when you unbundle a workflow that a prosumer investor (FinTwit, small-cap community, independent analyst, value investor, short seller) would naturally ask as a question and pay to have answered with evidence. It also works when a slice inside Bloomberg, FactSet, Capital IQ, or 6sense has a meaningful audience outside the desk — prosumer, independent, or agent-driven — even if desks also pay for it today. It does not work when the slice has no audience outside a desk analyst with an enterprise contract. We explicitly support three kinds ofFinancial Markets RFBs:
- Prosumer-anchored public-filing workflows: filing deltas, insider clusters, reverse DCF, accounting red flags
- Bloomberg / FactSet / Capital IQ slices with a non-desk audience: earnings-call language deltas, short-interest and squeeze-risk regime, sell-side rating and target revision velocity, 13F / institutional-ownership deltas, corporate credit and CDS-spread anomalies
- Narrow developer-facing primitives for normalizing painful public data (filings, ETF disclosures, transcripts)
| Opportunity | Source subscription | Mode | Buyer | Buyer query example | Priority |
|---|---|---|---|---|---|
| SEC filing delta intelligence | BamSEC / Capital IQ (prosumer slice) | Query | independent analyst / FinTwit / newsletter writer | ”What actually changed between Palantir’s last 10-Q and this one in the risk factors and revenue footnotes?” | Highest |
| Insider cluster-buy intelligence | OpenInsider (free, raw) / Capital IQ | Query or both | small-cap / event-driven / FinTwit investor | ”Any notable cluster insider buys in small-cap industrials this week, and what’s the context?” | Highest |
| Earnings call transcript delta intelligence | Bloomberg / Capital IQ transcripts / BamSEC | Query | small-cap PM / FinTwit / earnings-season prosumer / investor-AI assistants | ”What changed in NVDA’s forward-guidance language this quarter vs last, and did management sound more or less confident on gross margin?” | High |
| Short-interest and squeeze-risk regime intelligence | S3 Partners / Ortex / Bloomberg SI (paid); FINRA (free, laggy) | Query or both | options / small-cap / event-driven retail | ”Is CVNA setting up for a squeeze this week based on short interest, cost-to-borrow, and days-to-cover?” | High |
| 13F / institutional-ownership change intelligence | FactSet / Capital IQ (paid); WhaleWisdom (free, laggy) | Query or both | small-cap / event-driven / FinTwit hedge-fund watcher | ”Which hedge funds newly initiated or exited PLTR last quarter, and how large were the positions relative to their book?” | High |
| Reverse DCF / implied-expectations intelligence | public filings + market data | Query or both | value investor / FinTwit analyst | ”What growth does AAPL’s current price imply, and is that realistic given its last four quarters?” | High, stricter bar |
| Post-earnings valuation reset analysis | public filings + transcripts + market data | Query | prosumer PM / event-driven investor | ”Should my expectations for NFLX change after Q3, and in which direction?” | High, stricter bar |
| Earnings-quality and accounting red-flag intelligence | public filings | Query | equity analyst / short seller / FinTwit | ”Any accrual or cash-conversion red flags in TSLA’s latest 10-Q?” | High, stricter bar |
| Sell-side rating and target-revision velocity intelligence | Capital IQ / FactSet / Bloomberg EE (paid); fragmented free | Query | small-cap / options / newsletter writer / FinTwit | ”Is the sell-side turning bullish on PLTR in the last 30 days, who’s leading the revisions, and by how much?” | High, stricter bar |
| Corporate credit / CDS-spread anomaly intelligence | Bloomberg / FactSet credit feeds (paid) | Query | credit-FinTwit / event-driven / AI-agent risk screener | ”What credit-market signals are flashing around PLTR this week, and does the CDS move match the equity story?” | Medium, stricter bar |
| SEC filing sections + numeric fact normalizer | EDGAR (free, painful) / FactSet parsers | Execute | internal finance agent / research workflow builder | (Execute primitive: developer-facing typed schema) | High |
| ETF flows / holdings normalizer | issuer disclosures (fragmented) / FactSet | Execute | workflow builder | (Execute primitive: no Query surface) | Medium |
| Comparable-company valuation gap analysis | public filings + market data | Query or both | prosumer analyst / investor | ”How does ROKU’s valuation compare to its streaming peers right now, and is the gap justified?” | Medium, stricter bar |
Other
If your idea clearly fits the grant bar but is notCrypto & DeFi or Financial Markets, see the Future Categories (On Ice) section below. We are not currently grant-funding those categories, but the research is preserved there and you can still ship permissionless and earn 90% revenue share.
Future Categories (On Ice)
Crypto & DeFi and Financial Markets supply first. The research is preserved here because we plan to reopen these as the marketplace expands.You are welcome to ship permissionless in any of these categories today and earn 90% revenue share. If real paying demand shows up on one of these workflows, we will revisit and reopen grants for it.Lines listed as on ice are the ones that survived the agent-native sanity check. Lines that failed it (ETF basis dislocation, Cortellis clones, AI code-remediation) are not listed because they would not convert at $0.10 per answer regardless of grant status. Earnings-estimate / target-revision velocity and Bloomberg-style supply-chain exposure have been reclassified: revision velocity is now funded in the Financial Markets table above, and supply-chain exposure is still off-ramp, but for build complexity reasons rather than framing.Business & Sales (on ice)
Business & Sales (on ice)
| Opportunity | Source subscription | Mode | Buyer | Buyer query example | Priority |
|---|---|---|---|---|---|
| Buyer-intent and trigger-event intelligence for founders | 6sense / Bombora (enterprise-priced) | Query or both | founder / seed-stage GTM / solo outbound operator | ”Any trigger events at my target accounts this week suggesting they’d buy?” | Medium-High |
| Technographic stack and migration normalizer | BuiltWith / Wappalyzer / StackShare | Execute | dev building outbound tooling | (Execute primitive: fragmented tech-stack detection) | Medium |
Marketing & SEO (on ice)
Marketing & SEO (on ice)
| Opportunity | Source subscription | Mode | Buyer | Buyer query example | Priority |
|---|---|---|---|---|---|
| App download and keyword-share intelligence | Sensor Tower / data.ai | Query | app founder / growth marketer / small investor | ”How many downloads did BeReal get last month and what keywords drove its installs?” | High |
| Winning ad creative decision intelligence | BigSpy / AdSpy | Query | solo media buyer / DTC operator | ”What creative hooks are actually converting for DTC skincare right now and why?” | Medium-High |
| Affiliate offer decision intelligence | AdSpy | Query or both | affiliate marketer / performance marketer | ”Which CPA offers in the weight-loss vertical are actually converting on Facebook this month?” | Medium-High |
| App-store estimate and ranking primitives | Sensor Tower / data.ai | Execute or both | growth workflow builder | (Execute primitive: app-store research) | Medium |
Legal & Regulatory (on ice)
Legal & Regulatory (on ice)
| Opportunity | Source subscription | Mode | Buyer | Buyer query example | Priority |
|---|---|---|---|---|---|
| Litigation analytics for investors | Lex Machina / Westlaw Litigation Analytics | Query | event-driven investor / activist / litigation-exposure analyst | ”Who is currently suing TSLA and what is the historical outcome rate in similar cases?” | High |
| Regulatory bill / rule delta for operators | FiscalNote / Lexis State Net | Query | founder / operator affected by a specific rule area | ”What new state data-privacy bills affect my SaaS this quarter?” | Medium |
Real World (on ice)
Real World (on ice)
| Opportunity | Source subscription | Mode | Buyer | Buyer query example | Priority |
|---|---|---|---|---|---|
| Operator-facing hyperlocal weather impact intelligence | Tomorrow.io / DTN / AccuWeather for Business | Query | small logistics operator / farmer / field-crew lead | ”What’s the weather risk for my LA-to-Phoenix trucking route tomorrow?” | Medium-High |
| Asset-level weather threshold primitive | Tomorrow.io / DTN | Execute | dev building site-risk or route-risk workflows | (Execute primitive: not an alerting SaaS) | Medium-High |
Developer Tools (on ice)
Developer Tools (on ice)
| Opportunity | Source subscription | Mode | Buyer | Buyer query example | Priority |
|---|---|---|---|---|---|
| Reachable dependency-risk intelligence for small teams | Snyk / Semgrep Supply Chain / GitHub Advanced Security | Query or both | solo dev / small eng team with no enterprise security budget | ”Is this CVE actually reachable in my codebase, and what’s the fastest safe fix?” | Medium-High |
Research & Academia (on ice)
Research & Academia (on ice)
| Opportunity | Source subscription | Mode | Buyer | Buyer query example | Priority |
|---|---|---|---|---|---|
| Research funding and grant-landscape intelligence | Web of Science Research Intelligence / Pivot-RP | Query | independent researcher / early-career PI / small lab | ”What active NIH grants are available for oncology research at small institutions this cycle?” | Medium-High |
Utility and Other (on ice)
Utility and Other (on ice)
Utility and Other remain very high bar. Most submissions historically drift into generic infrastructure wrappers or dashboard-alerting products that do not belong on Context. When we reopen these, we will list specific fundable slices here. Until then, if you have a strong utility idea that replaces a premium incident, cost, or infrastructure workflow (Datadog, Dynatrace, New Relic, Honeycomb) with a question-shaped buyer, you can still ship permissionless and earn 90% revenue share; contact us if the tool picks up real paid usage and we will consider a retroactive grant.Execute primitive is still narrow. We do not want “all exchange market data” or “all company data.” We want one painful primitive with one stable contract. If you are pitching an SDK-facing primitive, use the category tables above and keep the contract tight.Ideas We Are Less Excited To Fund
We want fewer clever ideas and more fundable products. These patterns usually get rejected or down-ranked:- vague AI wrappers
- “X for agents” terminal clones
- broad “crypto analytics” or “financial research” platforms
- social sentiment, meme coin, rug-check, or generic narrative dashboards
- pure monitoring feeds or alerting products
- multi-source normalization monsters that a solo builder cannot maintain
- generic wrappers over public APIs with no schema or evidence advantage
- products with no obvious paying buyer
- products better suited to a dashboard SaaS than Context
QueryorExecutemode
| Weak pattern | Why we dislike it |
|---|---|
Crypto analytics platform | too broad, too saturated, and no clear review surface |
Bloomberg for agents | impossible scope, unclear buyer contract, guaranteed hand-waving |
| generic public API wrapper | easy to replace, weak wedge, usually Tier B at best |
| pure monitoring feed / alerts product | belongs in a dashboard SaaS, not a paid Context answer |
| unscoped multi-source normalizer | too much maintenance for a solo builder and too much schema risk |
| social sentiment / narrative dashboard | saturated, noisy, weak differentiation, poor reviewability |
How to Apply
Create Your Account
Submit Proposal
- 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
- Exact premium feature or normalized primitive you are shipping
- Target paying user and why they would pay for this instead of using free substitutes
- 5 must-win prompts that prove the product contract
- Expected evidence fields or normalized schema fields
- Ideal output surface:
Query,Execute, orboth - Freshness / latency target and any ambiguity behavior expectations
- What expensive service or fragmented integration this replaces
- Which tier you’re targeting
- Technical approach (1-2 paragraphs)
- Your background (GitHub, portfolio)
Build & Deploy
Register Your Tool
- Paste your MCP endpoint URL
- Add a basic name and description (the optimization skill will generate and push the optimal description in the next step)
- 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
Optimize & Validate
- 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
- 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)
- 5 must-win prompts that exercise the premium feature or normalized primitive you are claiming
- Expected evidence fields / expected schema outputs for each prompt
- Expected response shape for Query (
answer_with_evidenceand optionallyevidence_only) or the exact Execute methods that should pass - Your wallet address (for payment verification)
Get Paid
- 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 |
| ✅ Tier S only: Optimization artifact with ≥ 7 high-differentiation prompts | Proves the tool delivers value users cannot get from free LLMs |
Builder Support
You’re not alone. We’re here to help you ship.Email Support
GitHub Examples
FAQ
How long does approval take?
How long does approval take?
Can I build multiple tools?
Can I build multiple tools?
What if my tool idea isn't on the RFB list?
What if my tool idea isn't on the RFB list?
Do I keep the revenue after the grant?
Do I keep the revenue after the grant?
What chain is payment on?
What chain is payment on?
Can I use existing open-source code?
Can I use existing open-source code?
What's the response time limit?
What's the response time limit?

