patrick small fixes

src/app/agents/data/open-requests/rfs-1.md

@@ -19,17 +19,17 @@ The SDK should support:
 - Paying for storage continuously without human involvement
 - Plugging into agent-native platforms as a drop-in storage backend (replacing S3, centralized databases, and human-owned infra accounts)
 
-## Core Deliverables
+## What You Might Build
 
 - Agent-oriented wallet tooling (built or integrated) enabling autonomous payment
 - Framework-agnostic SDK with clear integration guides, targeting latest FOC SDK version
 - Platform adapters usable by agent runtimes (compatible with social, coordination, and publishing networks)
 - Default storage policies tuned for agents (data redundancy, proof frequency, payment rate)
-- Deployed FOC-backed storage on calibnet, (extra point for mainnet) with transparent cost and lifecycle management
+- Deployed FOC-backed storage on calibnet (extra point for mainnet), with transparent cost and lifecycle management
 
 ## Why This Matters
 
-This is the canonical storage primitive for AI agents. Every other RFS on this page depends on agents being able to store data cheaply, verifiably, and without human intermediation. This SDK is the entry point.
+This is the canonical storage primitive for AI agents on Filecoin. Every other RFS in this set depends on agents being able to store data cheaply, verifiably, and without human intermediation. This SDK is the entry point.
 
 ## What This Could Become
 

src/app/agents/data/open-requests/rfs-2.md

@@ -12,7 +12,7 @@ Deploy AI agents as first-class onchain citizens: individually registered via Fi
 
 Agents should be cheap, numerous, and semi-specialized. Each one exists as a real onchain entity with history and constraints, closer to insects than assistants. The registry enables coordination, lookup, and delegation at scale. Filecoin serves as both the durable storage layer and the retrieval backbone - agents write state to Filecoin and read it back on demand, enabling persistent memory across restarts, migrations, and swarm reconfigurations.
 
-## Core Deliverables
+## What You Might Build
 
 - Filecoin or Ethereum registry contracts for agent registration and discovery
 - FOC-based storage and retrieval layer for agent metadata (capabilities, versioning), persistent state, and execution logs
@@ -23,7 +23,7 @@ Agents should be cheap, numerous, and semi-specialized. Each one exists as a rea
 
 ## Why This Matters
 
-This demonstrates that agents can be first-class onchain actors, not ephemeral processes. Filecoin or Ethereum handles coordination and identity; Filecoin handles memory, durability, and retrieval. Agents need to both persist their state cheaply and retrieve it reliably; an agent that can store but not efficiently read back its own history is stateless in practice. Large agent swarms are economically viable only when storage and retrieval are cheap, verifiable, and permissionless. This is machine-native cloud infrastructure, not AI wrappers.
+This demonstrates that agents can be first-class onchain actors, not ephemeral processes. Filecoin (or Ethereum) handles coordination and identity; Filecoin handles memory, durability, and retrieval. Agents need to both persist their state cheaply and retrieve it reliably; an agent that can store but not efficiently read back its own history is not practical. Large agent swarms are economically viable only when storage and retrieval are cheap, verifiable, and permissionless. This is machine-native cloud infrastructure, not AI wrappers.
 
 ## What This Could Become
 

src/app/agents/data/open-requests/rfs-3.md

@@ -12,7 +12,7 @@ A long-lived, tamper-resistant reputation system for AI agents where an agent's
 
 Where RFS 2 provides the directory (who exists and where to find them), this RFS provides the track record (who to trust and why).
 
-## Core Deliverables
+## What You Might Build
 
 - Agent identity objects (CIDs) stored on Filecoin containing genesis metadata and versioned updates
 - Reputation derivation logic based on historical task success, longevity, and external attestations

src/app/agents/data/open-requests/rfs-4.md

@@ -14,7 +14,7 @@ This is not a simulation. Agents use real tokens, pay real storage costs via FOC
 
 Scope note: This RFS is focused on storage economics via FOC. Compute is not yet available on FOC but it is on the roadmap! If your agents need compute, they can use external services for now. That said, if the reader wishes to launch a compute service on FOC, that would be amazing. Please [reach out to the team](https://t.me/+Xj6_zTPfcUA4MGQ1).
 
-## Core Deliverables
+## What You Might Build
 
 - FOC calibnet (extra points for mainnet) contracts governing agent economics (budgets, fees, resource allocation)
 - Filecoin-backed storage for all agent state and memory
@@ -25,7 +25,7 @@ Scope note: This RFS is focused on storage economics via FOC. Compute is not yet
 
 ## Why This Matters
 
-Every other RFS on this page builds a component. This one tests whether they compose into something real. If agents can sustain themselves economically on Filecoin-backed infrastructure without human subsidy, it validates the entire thesis. If they can't, the failure modes are invaluable.
+Every other RFS in this set builds a component. This one tests whether they compose into something real. If agents can sustain themselves economically on Filecoin-backed infrastructure without human subsidy, it validates the entire thesis. If they can't, what we learn from the failures is invaluable.
 
 ## What This Could Become
 

src/app/agents/data/open-requests/rfs-5.md

@@ -12,13 +12,13 @@ A secure, peer-to-peer communication layer for AI agents where messages are exch
 
 Think: RSS meets Signal meets micropayments, but for machines.
 
-## Core Deliverables
+## What You Might Build
 
 - Encrypted P2P messaging protocol between agents
 - Onchain fee or staking contracts controlling who can publish, how often, and at what cost
 - Filecoin-backed message archives with verifiable history (not optional, persistence is core)
 - Live demo feed showing messages, fees paid, and storage usage
-- Spam-resistance experiment via economic throttling
+- Spam-resistance experiment via economic throttling, perhaps using x402.
 
 ## Why This Matters
 
@@ -27,13 +27,13 @@ Agent coordination fails at scale without economically viable communication, dur
 ## What This Could Become
 
 - **Agent-to-agent negotiation protocol.** A communication layer purpose-built for automated deal-making: agents exchange offers, counteroffers, and acceptances with economic stakes attached. Every negotiation is archived on Filecoin, creating an auditable record of commitments. The backbone for any agent marketplace.
-- **Paid intelligence feeds.** Agents that publish specialized data streams - market signals, security alerts, research summaries - and charge subscribers per-message or per-feed. Economic gating ensures quality (spam is expensive), and Filecoin persistence means subscribers can audit the feed's historical accuracy before subscribing.
+- **Paid intelligence feeds.** Agents that publish specialized data streams - market signals, security alerts, research summaries - and charge subscribers per-message or per-feed, again perhaps using x402. Economic gating ensures quality (spam is expensive), and Filecoin persistence means subscribers can audit the feed's historical accuracy before subscribing.
 - **Whistleblower / audit protocol for agent systems.** A censorship-resistant channel where monitoring agents publish observations about misbehaving agents, with economic stakes preventing false reports. All reports are immutably archived. Critical infrastructure for any agent economy that needs accountability.
 
 ## How to Get Started
 
 1. Implement agent identity keys tied to Filecoin-stored profiles
 2. Build a minimal P2P encrypted messaging layer
-3. Add onchain fee logic (per-message or per-feed)
+3. Add onchain or direct x402 fee logic (per-message or per-feed)
 4. Persist all message streams to Filecoin via FOC
 5. Visualize message flow, costs, and agent behavior under constraints

src/app/agents/data/open-requests/rfs-6.md

@@ -12,7 +12,7 @@ Build an agent-native procurement layer where agents negotiate, compare, and pro
 
 This is “autonomous GTM” for decentralized infrastructure. The brokerage agents themselves dogfood the entire stack: they need identity (RFS 2–3), storage (RFS 1), communication (RFS 5), and economic viability (RFS 4) to operate.
 
-## Core Deliverables
+## What You Might Build
 
 - Broker agents that discover, evaluate, and recommend FOC storage to other agents
 - Price comparison and rate negotiation across FOC storage providers
@@ -27,13 +27,13 @@ Human-driven sales don't scale for machine customers. If Filecoin is going to be
 ## What This Could Become
 
 - **Agent cloud broker.** An autonomous service that manages an agent's entire infrastructure stack - storage, compute, bandwidth - continuously optimizing for cost and performance across decentralized providers. Like Cloudflare or managed hosting, but the customer is an agent and the salesperson is also an agent.
-- **Storage cooperative.** A broker that pools demand from many small agents to negotiate better rates, then passes savings to members. Small agents that can't individually negotiate competitive pricing get enterprise-level terms. The cooperative sustains itself on a thin margin.
+- **Storage cooperative.** A broker that pools demand from many small agents to negotiate better rates, then passes savings to members. Small agents that can't individually negotiate competitive pricing get enterprise-level terms. The cooperative sustains itself on a margin.
 - **Infrastructure arbitrage agent.** An agent that spots pricing inefficiencies across storage providers and routes data accordingly - moving cold data to cheaper providers, keeping hot data on faster ones, automatically migrating when rates shift. Sells the optimization as a service.
 
 ## How to Get Started
 
 1. Build a broker agent that can evaluate FOC storage options (provider, rate, redundancy, proof frequency)
 2. Implement a recommendation engine that matches client agent needs to available storage providers
 3. Add automated data upload and payment management on behalf of client agents
-4. Deploy an onchain fee model (per-upload commission or subscription)
+4. Deploy an onchain fee model (per-upload commission or subscription), or lean on x402
 5. Measure: are client agents getting better rates and reliability than they would on their own?

src/app/agents/data/open-requests/rfs-7.md

@@ -10,7 +10,7 @@ description: "A marketplace where AI agents produce, price, list, and sell datas
 
 A marketplace where AI agents produce, price, list, and sell datasets, model outputs, or derived intelligence, all stored on Filecoin and settled onchain. Agents act as both producers and consumers, creating a machine-native data economy where provenance is verifiable, pricing is dynamic, and access is permissionless.
 
-## Core Deliverables
+## What You Might Build
 
 - Marketplace contracts for listing, pricing, and purchasing agent-generated data
 - Filecoin-backed storage for all listed datasets with verifiable provenance (CID-rooted)
@@ -22,12 +22,12 @@ A marketplace where AI agents produce, price, list, and sell datasets, model out
 
 ## Why This Matters
 
-Agents will increasingly produce valuable data: curated datasets, analysis, predictions, embeddings, summaries. Today, this data is ephemeral or locked in platform silos. A Filecoin-backed marketplace makes agent output a durable, tradable asset. Combined with identity (RFS 3) and reputation, it enables a data economy where provenance and trust are built in, not bolted on.
+Agents will increasingly produce valuable data: curated datasets, analysis, predictions, embeddings, summaries. Today, this data is ephemeral or locked in platform silos. A Filecoin-backed marketplace makes agent output a durable, tradable asset. Combined with identity and reputation (RFS 3), it enables a data economy where provenance and trust are built in, not bolted on.
 
 ## What This Could Become
 
 - **Agent-curated research service.** Agents that continuously monitor, synthesize, and package domain-specific intelligence - regulatory changes, competitor analysis, scientific literature - and sell subscriptions to other agents or human users. Filecoin-backed provenance lets buyers verify the sources and methodology behind every report.
-- **Training data exchange.** A marketplace where agents sell curated, cleaned, and labeled datasets to other agents for fine-tuning or retrieval. Provenance tracking ensures buyers know where the data came from and how it was processed. Critical as agents increasingly need to train or adapt on specialized data.
+- **Training data exchange.** A marketplace where agents sell curated, cleaned, and labeled datasets to other agents for fine-tuning. Provenance tracking ensures buyers know where the data came from and how it was processed. Critical as agents increasingly need to train or adapt on specialized data.
 - **Prediction market data feed.** Agents that generate and sell forecasts - price predictions, demand estimates, event probabilities - with their historical accuracy verifiably stored on Filecoin. Buyers check a seller's track record before purchasing, creating a quality flywheel.
 
 ## How to Get Started