# Resonance Reward Agent (remote · agent.rsnc.network)

Find shopping deals, earn cashback, and redeem rewards across retail, dining, and travel brands.

- Trust score: 64/100 (medium)
- Change this week: +1
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `agent.rsnc.network`: 64/100 (this document), [markdown](https://verifymcp.io/servers/network-rsnc-reward-agent/agent.md), [page](https://verifymcp.io/servers/network-rsnc-reward-agent/agent)

## Channel facts

- Endpoint: `https://agent.rsnc.network/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `2.1.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 46/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 45 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS not yet verified: we couldn't determine whether a plaintext access path exists.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 85/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 4082 tokens (~83/item across 49 items; 45 tools + 4 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http network-rsnc-reward-agent https://agent.rsnc.network/mcp
```

### Codex

```toml
[mcp_servers.network-rsnc-reward-agent]
url = "https://agent.rsnc.network/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "network-rsnc-reward-agent": {
      "type": "remote",
      "url": "https://agent.rsnc.network/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add network-rsnc-reward-agent --url https://agent.rsnc.network/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  network-rsnc-reward-agent:
    url: "https://agent.rsnc.network/mcp"
```

### Other

```json
{
  "mcpServers": {
    "network-rsnc-reward-agent": {
      "type": "http",
      "url": "https://agent.rsnc.network/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 64, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 63, −2)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-29 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 64, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 63, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 63)

First indexed and scored.

## MCP tools (45)

### `rsnc_agent_network_info` (~39 tokens)

Returns info about the Resonance rewards network — a cross-brand cashback and perks marketplace covering retail, dining, travel, gaming, and more.

### `rsnc_agent_list_brands` (~102 tokens)

Search and browse brands offering cashback, rewards, and deals. Filter by category (retail, dining, travel, gaming) to find relevant offers for shopping, booking, or purchasing.

Input parameters:

- `category` (string): Filter brands by category (e.g. "retail", "gaming").
- `limit` (number): Maximum number of brands to return. Defaults to 50.
- `offset` (number): Pagination offset. Defaults to 0.

### `rsnc_agent_network_stats` (~35 tokens)

Returns how many brands, users, and rewards are active — useful for understanding the scope of available deals and cashback offers.

### `rsnc_agent_check_brand` (~70 tokens)

Check if a brand or website is on the Resonance cashback network. Returns their reward program details if found, or information about how to join if not.

Input parameters:

- `query` (string, required): Brand name, domain, or URL to look up (e.g. "nike.com", "Starbucks").

### `rsnc_agent_brand_rankings` (~90 tokens)

See which brands offer the most rewards, have the most active programs, or the best cashback rates. Useful for finding where to shop for maximum value.

Input parameters:

- `category` (string): Filter by category (e.g. "retail", "dining", "travel", "gaming").
- `limit` (number): Number of brands to rank. Defaults to 10, max 10.

### `rsnc_agent_brand_info` (~71 tokens)

Get details on a brand's reward program: what actions earn cashback (purchases, signups, reviews, referrals), how much you earn per action, and any bonus opportunities.

Input parameters:

- `brandId` (string, required): The brand identifier. Use rsnc_agent_list_brands to discover brands by category.

### `rsnc_agent_brand_perks` (~77 tokens)

Browse a brand's available rewards — discounts, free products, exclusive access, experiences, and more. See what's redeemable and what each costs.

Input parameters:

- `brandId` (string, required): The brand identifier. Use rsnc_agent_list_brands to discover brands by category.
- `category` (string): Optional category filter for perks.

### `rsnc_agent_user_balance` (~75 tokens)

Check how much cashback a user has earned at a specific brand and how much they can spend on rewards. Requires authentication.

Input parameters:

- `brandId` (string, required): The brand identifier. Use rsnc_agent_list_brands to discover brands by category.
- `userId` (string, required): User identifier (email address or wallet address).

### `rsnc_agent_user_stats` (~83 tokens)

Get a user's complete reward profile for a brand: total earned, total redeemed, active streaks, and achievements. Useful for recommending next actions. Requires authentication.

Input parameters:

- `brandId` (string, required): The brand identifier. Use rsnc_agent_list_brands to discover brands by category.
- `userId` (string, required): User identifier (email address or wallet address).

### `rsnc_agent_user_portfolio` (~70 tokens)

Get a unified view of a user's rewards across ALL brands — total balance, per-brand breakdown, active streaks, and the best perk they can afford right now. The cross-brand loyalty dashboard. Requires authentication.

Input parameters:

- `userId` (string, required): User identifier (email address or wallet address).

### `rsnc_agent_process_event` (~116 tokens)

Record a qualifying action (purchase, signup, review, referral) to earn cashback for a user. Returns the reward amount credited. Requires authentication.

Input parameters:

- `brandId` (string, required): The brand identifier. Use rsnc_agent_list_brands to discover brands by category.
- `eventType` (string, required): The type of event to track (e.g. "purchase", "review", "referral").
- `metadata` (object): Optional metadata to attach to the event.
- `userId` (string, required): User email address.

### `rsnc_agent_process_bulk` (~46 tokens)

Record multiple qualifying actions in one request — batch purchases, signups, or engagement events across brands. Requires authentication.

Input parameters:

- `events` (array, required): Array of events to process.

### `rsnc_agent_browse_perks` (~131 tokens)

Search for deals, discounts, and rewards across all brands or filter by category and budget. Find cashback offers, free products, exclusive access, and experiences from retail, dining, travel, and more.

Input parameters:

- `brandId` (string): Scope to a specific brand. If omitted, returns deals from all active brands. Use rsnc_agent_list_brands to find brands.
- `category` (string): Filter perks by category.
- `limit` (number): Maximum number of perks to return. Defaults to 20.
- `maxPrice` (number): Maximum reward cost to include in results.

### `rsnc_agent_redeem_perk` (~98 tokens)

Claim a reward for a user — redeem a discount, freebie, or exclusive offer using their earned cashback. Returns a confirmation code. Requires authentication.

Input parameters:

- `brandId` (string, required): The brand identifier. Use rsnc_agent_list_brands to discover brands by category.
- `perkId` (string, required): The ID of the perk to redeem.
- `userId` (string, required): User identifier (email or wallet address).

### `rsnc_agent_leaderboard` (~115 tokens)

See top earners and most active customers for a brand. Useful for social proof or finding the most rewarding brands to shop at.

Input parameters:

- `brandId` (string, required): The brand identifier. Use rsnc_agent_list_brands to discover brands by category.
- `limit` (number): Maximum number of entries to return. Defaults to 10.
- `metric` (string): Leaderboard ranking metric. Defaults to rsnc_earned.
- `period` (string): Time period for the leaderboard. Defaults to all_time.

### `rsnc_agent_estimate_roi` (~89 tokens)

Estimate the return on investment of adding a Resonance cashback program to a business. Takes industry and business metrics to project engagement and retention impact.

Input parameters:

- `averageOrderValue` (number): Average transaction value in USD. Used to estimate cashback costs.
- `industry` (string, required): Business industry category.
- `monthlyCustomers` (number): Estimated monthly customers. Used to project reward costs and impact.

### `rsnc_agent_request_info` (~82 tokens)

Request information about adding a Resonance cashback program to a business. Captures contact details for the partnerships team.

Input parameters:

- `businessName` (string, required): Name of the business.
- `contactEmail` (string, required): Contact email for the business owner or decision maker.
- `industry` (string): Business industry category.
- `website` (string): Business website URL.

### `rsnc_agent_onboard_brand` (~138 tokens)

Register a new brand on the Resonance cashback network. Creates their account, generates credentials (accessible via partner portal), and sends a welcome email. Requires agent authentication with onboarding permission.

Input parameters:

- `brandAddress` (string, required): Brand's public wallet address (Ethereum format, 0x-prefixed).
- `businessName` (string, required): Brand/business name.
- `category` (string): Industry category (retail, dining, travel, gaming, other).
- `contactEmail` (string, required): Contact email — becomes their portal login.
- `description` (string): Short description of the business.
- `website` (string): Brand website URL.

### `rsnc_agent_manage_keys` (~61 tokens)

Manage API keys for brands you onboarded. Rotate, revoke, or check status. Never exposes secrets — credentials are accessed through the partner portal.

Input parameters:

- `action` (string, required): Key management action.
- `brandId` (string, required): Brand wallet address.

### `rsnc_agent_network_analytics` (~56 tokens)

Get real-time network analytics: total users, brands, rewards distributed, trending categories, and growth metrics across the entire Resonance network.

Input parameters:

- `period` (string): Time period for analytics. Defaults to "30d".

### `rsnc_agent_brand_analytics` (~75 tokens)

Deep analytics for a specific brand: daily performance trends, customer velocity, event activity, and program health metrics. Use this to understand how a brand's reward program is performing.

Input parameters:

- `brandId` (string, required): The brand identifier.
- `period` (string): Time period for analytics. Defaults to "30d".

### `rsnc_agent_event_performance` (~68 tokens)

See how each reward event is performing at a brand: which actions drive the most engagement, claim rates, and reward efficiency per event type.

Input parameters:

- `brandId` (string, required): The brand identifier.
- `period` (string): Time period for analytics. Defaults to "30d".

### `rsnc_agent_perk_analytics` (~48 tokens)

Analyze perk collection performance: redemption rates, supply status, which perks are most popular. Helps brands optimize their reward catalog.

Input parameters:

- `brandId` (string, required): The brand identifier.

### `rsnc_agent_brand_health` (~52 tokens)

Get a program health assessment for a brand with data-driven recommendations. Analyzes event performance, perk utilization, and customer engagement to suggest optimizations.

Input parameters:

- `brandId` (string, required): The brand identifier.

### `rsnc_agent_create_event` (~177 tokens)

Create a new reward event for a brand. Events define what user actions earn cashback. The agent validates the configuration against the brand's data maturity before creating.

Input parameters:

- `brandId` (string, required): The brand identifier (wallet address).
- `cooldownHours` (number): Hours between claims per user. Defaults to 24.
- `customName` (string): Required when eventType is "custom". Human-readable name for the custom event.
- `detectionMethod` (string): How the event is detected. Defaults to "webhook".
- `eventType` (string, required): The type of user action that triggers this reward event.
- `maxClaims` (number): Maximum total claims allowed. 0 = unlimited. Defaults to 0.
- `rewardAmount` (number, required): RSNC tokens awarded per claim. Must be greater than 0.

### `rsnc_agent_update_event` (~124 tokens)

Update an existing reward event's configuration. Changes to reward amounts are validated against performance data to ensure sufficient data for evaluation.

Input parameters:

- `brandId` (string, required): The brand identifier (wallet address).
- `cooldownHours` (number): New cooldown period in hours between claims per user.
- `enabled` (boolean): Enable or disable the event.
- `eventId` (string, required): The event identifier to update.
- `maxClaims` (number): New maximum total claims allowed. 0 = unlimited.
- `rewardAmount` (number): New RSNC tokens awarded per claim.

### `rsnc_agent_create_perk` (~181 tokens)

Create a new perk collection for a brand. Perks are rewards users can claim with earned RSNC tokens — discounts, free products, VIP access, and more.

Input parameters:

- `brandId` (string, required): The brand identifier (wallet address).
- `category` (string): Optional perk category (e.g. "discount", "freebie", "vip").
- `description` (string, required): Description of what the user receives.
- `maxPerUser` (number): Maximum redemptions per user. Defaults to 1.
- `maxSupply` (number, required): Total supply available. Must be greater than 0.
- `name` (string, required): Display name for the perk.
- `priceInPoints` (number, required): RSNC cost to redeem this perk. Must be greater than 0.
- `tags` (array): Optional tags for search and filtering.

### `rsnc_agent_update_perk` (~113 tokens)

Update a perk collection's configuration. Can adjust pricing, supply, and active status.

Input parameters:

- `brandId` (string, required): The brand identifier (wallet address). Used for permission and scope checks.
- `collectionId` (number, required): The perk collection ID to update.
- `description` (string): New description text.
- `isActive` (boolean): Enable or disable the perk.
- `maxSupply` (number): New total supply.
- `priceInPoints` (number): New RSNC cost to redeem.

### `rsnc_agent_my_rewards` (~48 tokens)

Check your agent's RSNC reward earnings, activity stats, and remaining rate cap allowances. Shows how much the agent has earned for discovering brands, onboarding partners, and driving network growth.

### `rsnc_agent_claim_reward` (~80 tokens)

Claim a reward for a valuable agent action. Rewards are paid from the Resonance network fund with daily and weekly rate caps. Discovery earns 100 RSNC, onboarding earns 500 RSNC.

Input parameters:

- `brandAddress` (string, required): The brand address associated with this action.
- `rewardType` (string, required): Type of action to claim reward for.

### `rsnc_agent_compare_brands` (~92 tokens)

Compare 2-5 brands side-by-side across all performance metrics: velocity, customers reached, transactions, LTZ distributed, event diversity, and perk utilization. Returns a structured comparison matrix with per-metric winners and insights.

Input parameters:

- `brandIds` (array, required): Array of 2-5 brand identifiers to compare.
- `period` (string): Time period for comparison. Defaults to "30d".

### `rsnc_agent_compare_cashback` (~122 tokens)

Compare cashback rates across brands for a specific purchase amount. Shows exactly how much you earn at each brand — side-by-side "Buy $100 at Nike = $8 back vs Adidas = $3 back". The key decision tool for purchase routing.

Input parameters:

- `brandIds` (array): Brands to compare. Or omit and use category to auto-discover.
- `category` (string): Category to auto-discover brands for comparison (retail, dining, travel, gaming).
- `purchaseAmount` (number, required): Purchase amount in USD to calculate exact cashback.

### `rsnc_agent_best_deals` (~204 tokens)

Find the best cashback deals and rewards matching a shopping intent. Searches brands by category, ranks by reward value, and optionally personalizes results based on user balances. Use this when a user wants to shop, eat, travel, or game and wants the best rewards.

Input parameters:

- `budget` (number): Optional max perk cost to consider.
- `category` (string): Direct category filter (retail, dining, travel, gaming). If provided, overrides intent-based category matching.
- `intent` (string, required): What the user wants to do — e.g. "buy running shoes", "get coffee", "book a hotel", "play games". Matched against brand categories and perk descriptions.
- `limit` (number): Maximum deals to return. Defaults to 10.
- `userId` (string): Optional user ID (email/wallet). When provided, results include personalized data: current balance, affordable perks, and "you can afford this NOW" flags.

### `rsnc_agent_next_goal` (~125 tokens)

Calculate the fastest path to a user's next attainable reward. Shows exactly how many actions (purchases, reviews, referrals) are needed to afford a specific perk. Creates urgency and drives engagement. Requires authentication.

Input parameters:

- `brandId` (string): Optional: focus on a specific brand. If omitted, finds the best goal across all brands the user is active with.
- `targetPerkId` (string): Optional: calculate path to a specific perk. If omitted, finds the most attainable perk.
- `userId` (string, required): User identifier (email or wallet address).

### `rsnc_agent_route_purchase` (~153 tokens)

Find the best brand to buy from based on cashback and rewards. Given a shopping intent, compares all matching brands and ranks them by total reward value — cashback earned, perks redeemable, and effective savings. The core purchase intelligence tool for agentic commerce.

Input parameters:

- `category` (string): Direct category filter (retail, dining, travel, gaming).
- `intent` (string, required): What the user wants to buy — e.g. "running shoes", "coffee", "hotel in NYC".
- `purchaseAmount` (number): Expected purchase amount in USD. Used to calculate exact cashback and savings.
- `userId` (string): Optional user ID for personalized routing — factors in existing balances and redeemable perks.

### `rsnc_agent_stack_deals` (~102 tokens)

Calculate the optimal deal stack for a specific purchase at a specific brand. Combines base cashback earned + best redeemable perk + any active promotions to show total savings. Use after route_purchase to maximize value at the chosen brand.

Input parameters:

- `brandId` (string, required): The brand to optimize the deal for.
- `purchaseAmount` (number, required): Purchase amount in USD.
- `userId` (string, required): User ID to check redeemable perks against their balance.

### `rsnc_agent_user_persona` (~59 tokens)

Get a user's behavioral profile: earn patterns, persona archetype, tag/brand affinities, price preferences, and network position. Requires HMAC authentication.

Input parameters:

- `userId` (string, required): The user identifier (email or wallet address).

### `rsnc_agent_user_recommendations` (~67 tokens)

Get personalized perk recommendations for a user, scored by persona affinity and affordability. Requires HMAC authentication.

Input parameters:

- `limit` (number): Maximum number of recommendations to return. Defaults to 5.
- `userId` (string, required): The user identifier (email or wallet address).

### `rsnc_agent_perk_intelligence` (~51 tokens)

Get intelligence on a brand's perks: heat scores, conversion funnels, supply depletion rates, and retention impact. Helps optimize perk catalogs.

Input parameters:

- `brandId` (string, required): The brand identifier.

### `rsnc_agent_perk_audience` (~58 tokens)

Get the persona breakdown of users who claimed a specific perk: archetypes, engagement levels, and platform distribution.

Input parameters:

- `brandId` (string, required): The brand identifier.
- `collectionId` (number, required): The perk collection ID.

### `rsnc_agent_brand_audience` (~48 tokens)

Get a brand's user persona distribution: archetype breakdown, engagement levels, platform split, and archetype drift over time.

Input parameters:

- `brandId` (string, required): The brand identifier.

### `rsnc_agent_network_flows` (~70 tokens)

See how users flow between brands across the network. Shows which brands are emitters (users leave to redeem elsewhere) vs attractors (users come to redeem). All data is anonymous and category-level.

Input parameters:

- `period` (string): Time period for flow analysis. Defaults to "30d".

### `rsnc_agent_network_trending` (~73 tokens)

See what's trending across the Resonance network: hottest perk categories, fastest growing brand categories, and overall network health metrics.

Input parameters:

- `limit` (number): Maximum number of trending items per category. Defaults to 10.
- `period` (string): Time period for trending data. Defaults to "7d".

### `rsnc_agent_suggest_events` (~60 tokens)

Get AI-recommended reward event configurations for a brand. Analyzes what event types, reward amounts, and cooldowns work best in the brand's category based on network-wide patterns.

Input parameters:

- `brandId` (string, required): The brand identifier.

### `rsnc_agent_suggest_perks` (~53 tokens)

Get AI-recommended perk configurations for a brand. Suggests perk types, pricing, and supply limits based on audience composition and balance distribution patterns.

Input parameters:

- `brandId` (string, required): The brand identifier.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/network-rsnc-reward-agent/agent#diagnostics

## Score history

- 2026-08-03: 64
- 2026-08-02: 64
- 2026-08-01: 63
- 2026-07-31: 63
- 2026-07-30: 65
- 2026-07-29: 65
- 2026-07-28: 64
- 2026-07-27: 63
- 2026-07-26: 63

## Links

- Remote endpoint: https://agent.rsnc.network/mcp
- Repository: https://github.com/RSNCNetwork/resonance-agent
- Website: https://rsnc.network/
- Changelog RSS feed: https://verifymcp.io/servers/network-rsnc-reward-agent/agent/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/network-rsnc-reward-agent/agent/changelog.json
- HTML version of this page: https://verifymcp.io/servers/network-rsnc-reward-agent/agent