Resonance Reward Agent

REMOTE · AGENT.RSNC.NETWORK · SCANNED AUG 3

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

Available components

+1 this week 64 64 Trust /100

Trust breakdown (6 categories)

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. How we score →

Endpoint Security46

The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
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. See how to fix → View diagnostics → Unverified
HTTPS not yet verified: we couldn't determine whether a plaintext access path exists. View diagnostics → Unverified
HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail

Transport & Reachability100

Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass

Schema Quality & AI Usability85

100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
AI-judged instruction clarity (excellent).Pass
Tool/resource definitions use about 4082 tokens (~83/item across 49 items; 45 tools + 4 resources), lean.Pass
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management27

Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial

Tool Coverage100

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
100% of tool parameters carry a description.Pass

Capabilities100

Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · agent.rsnc.network

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

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

# ~/.codex/config.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
    }
  }
}

# add to OpenClaw

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

# ~/.hermes/config.yaml

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

// mcp.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 we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

2 Aug 26 +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.
31 Jul 26 −2
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
29 Jul 26 +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.
28 Jul 26 +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.
27 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
26 Jul 26 63

First indexed and scored.

Show 5 earlier entries Hide earlier entries

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://agent.rsnc.network/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject	Issuer	Valid from	Valid until	Key	Signature	Serial
CN=rsnc.network	CN=WE1,O=Google Trust Services,C=US	15 Jun 2026	13 Sept 2026	ECDSA 256	ECDSA-SHA256	2a8b5170f026a81b132dde6d454630d8
SANs: rsnc.network, *.rsnc.network
CN=WE1,O=Google Trust Services,C=US (CA)	CN=GTS Root R4,O=Google Trust Services LLC,C=US	13 Dec 2023	20 Feb 2029	ECDSA 256	ECDSA-SHA384	7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA)	CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE	15 Nov 2023	28 Jan 2028	ECDSA 384	SHA256-RSA	7fe530bf331343bedd821610493d8a1b

DNSSEC insecure

Validation of agent.rsnc.network. — Not signed

Zone	DS	Keys	Algorithms	Outcome
.	trust_anchor	20326, 38696	8, 8	Verified
network.	present	40414	8	Verified
rsnc.network.	absent			Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation

Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result	No authorisation required
HTTP status	200

Transports 2 probes

Transport	URL	Outcome	Status	Location
streamable-http	https://agent.rsnc.network/mcp	Verified	200
http (plaintext)	http://agent.rsnc.network/mcp	Inconclusive	406

MCP tools — 45 exposed · ~3,947 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens

rsnc_agent_best_deals ~204

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 Output Examples

Name	Type	Req	Description
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	yes	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.

No output schema declared.

No examples provided.

rsnc_agent_brand_analytics ~75

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 Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier.
period	string	—	Time period for analytics. Defaults to "30d".

No output schema declared.

No examples provided.

rsnc_agent_brand_audience ~48

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier.

No output schema declared.

No examples provided.

rsnc_agent_brand_health ~52

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier.

No output schema declared.

No examples provided.

rsnc_agent_brand_info ~71

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 Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier. Use rsnc_agent_list_brands to discover brands by category.

No output schema declared.

No examples provided.

rsnc_agent_brand_perks ~77

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier. Use rsnc_agent_list_brands to discover brands by category.
category	string	—	Optional category filter for perks.

No output schema declared.

No examples provided.

rsnc_agent_brand_rankings ~90

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 Output Examples

Name	Type	Req	Description
category	string	—	Filter by category (e.g. "retail", "dining", "travel", "gaming").
limit	number	—	Number of brands to rank. Defaults to 10, max 10.

No output schema declared.

No examples provided.

rsnc_agent_browse_perks ~131

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 Output Examples

Name	Type	Req	Description
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.

No output schema declared.

No examples provided.

rsnc_agent_check_brand ~70

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 Output Examples

Name	Type	Req	Description
query	string	yes	Brand name, domain, or URL to look up (e.g. "nike.com", "Starbucks").

No output schema declared.

No examples provided.

rsnc_agent_claim_reward ~80

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 Output Examples

Name	Type	Req	Description
brandAddress	string	yes	The brand address associated with this action.
rewardType	string	yes	Type of action to claim reward for.

No output schema declared.

No examples provided.

rsnc_agent_compare_brands ~92

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 Output Examples

Name	Type	Req	Description
brandIds	array	yes	Array of 2-5 brand identifiers to compare.
period	string	—	Time period for comparison. Defaults to "30d".

No output schema declared.

No examples provided.

rsnc_agent_compare_cashback ~122

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 Output Examples

Name	Type	Req	Description
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	yes	Purchase amount in USD to calculate exact cashback.

No output schema declared.

No examples provided.

rsnc_agent_create_event ~177

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 Output Examples

Name	Type	Req	Description
brandId	string	yes	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	yes	The type of user action that triggers this reward event.
maxClaims	number	—	Maximum total claims allowed. 0 = unlimited. Defaults to 0.
rewardAmount	number	yes	RSNC tokens awarded per claim. Must be greater than 0.

No output schema declared.

No examples provided.

rsnc_agent_create_perk ~181

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 Output Examples

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

No output schema declared.

No examples provided.

rsnc_agent_estimate_roi ~89

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 Output Examples

Name	Type	Req	Description
averageOrderValue	number	—	Average transaction value in USD. Used to estimate cashback costs.
industry	string	yes	Business industry category.
monthlyCustomers	number	—	Estimated monthly customers. Used to project reward costs and impact.

No output schema declared.

No examples provided.

rsnc_agent_event_performance ~68

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 Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier.
period	string	—	Time period for analytics. Defaults to "30d".

No output schema declared.

No examples provided.

rsnc_agent_leaderboard ~115

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	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.

No output schema declared.

No examples provided.

rsnc_agent_list_brands ~102

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 Output Examples

Name	Type	Req	Description
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.

No output schema declared.

No examples provided.

rsnc_agent_manage_keys ~61

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

Input Output Examples

Name	Type	Req	Description
action	string	yes	Key management action.
brandId	string	yes	Brand wallet address.

No output schema declared.

No examples provided.

rsnc_agent_my_rewards ~48

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.

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

rsnc_agent_network_analytics ~56

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

Input Output Examples

Name	Type	Req	Description
period	string	—	Time period for analytics. Defaults to "30d".

No output schema declared.

No examples provided.

rsnc_agent_network_flows ~70

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 Output Examples

Name	Type	Req	Description
period	string	—	Time period for flow analysis. Defaults to "30d".

No output schema declared.

No examples provided.

rsnc_agent_network_info ~39

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

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

rsnc_agent_network_stats ~35

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

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

rsnc_agent_network_trending ~73

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

Input Output Examples

Name	Type	Req	Description
limit	number	—	Maximum number of trending items per category. Defaults to 10.
period	string	—	Time period for trending data. Defaults to "7d".

No output schema declared.

No examples provided.

rsnc_agent_next_goal ~125

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 Output Examples

Name	Type	Req	Description
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	yes	User identifier (email or wallet address).

No output schema declared.

No examples provided.

rsnc_agent_onboard_brand ~138

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 Output Examples

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

No output schema declared.

No examples provided.

rsnc_agent_perk_analytics ~48

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier.

No output schema declared.

No examples provided.

rsnc_agent_perk_audience ~58

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier.
collectionId	number	yes	The perk collection ID.

No output schema declared.

No examples provided.

rsnc_agent_perk_intelligence ~51

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier.

No output schema declared.

No examples provided.

rsnc_agent_process_bulk ~46

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

Input Output Examples

Name	Type	Req	Description
events	array	yes	Array of events to process.

No output schema declared.

No examples provided.

rsnc_agent_process_event ~116

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier. Use rsnc_agent_list_brands to discover brands by category.
eventType	string	yes	The type of event to track (e.g. "purchase", "review", "referral").
metadata	object	—	Optional metadata to attach to the event.
userId	string	yes	User email address.

No output schema declared.

No examples provided.

rsnc_agent_redeem_perk ~98

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier. Use rsnc_agent_list_brands to discover brands by category.
perkId	string	yes	The ID of the perk to redeem.
userId	string	yes	User identifier (email or wallet address).

No output schema declared.

No examples provided.

rsnc_agent_request_info ~82

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

Input Output Examples

Name	Type	Req	Description
businessName	string	yes	Name of the business.
contactEmail	string	yes	Contact email for the business owner or decision maker.
industry	string	—	Business industry category.
website	string	—	Business website URL.

No output schema declared.

No examples provided.

rsnc_agent_route_purchase ~153

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 Output Examples

Name	Type	Req	Description
category	string	—	Direct category filter (retail, dining, travel, gaming).
intent	string	yes	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.

No output schema declared.

No examples provided.

rsnc_agent_stack_deals ~102

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 Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand to optimize the deal for.
purchaseAmount	number	yes	Purchase amount in USD.
userId	string	yes	User ID to check redeemable perks against their balance.

No output schema declared.

No examples provided.

rsnc_agent_suggest_events ~60

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 Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier.

No output schema declared.

No examples provided.

rsnc_agent_suggest_perks ~53

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier.

No output schema declared.

No examples provided.

rsnc_agent_update_event ~124

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	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	yes	The event identifier to update.
maxClaims	number	—	New maximum total claims allowed. 0 = unlimited.
rewardAmount	number	—	New RSNC tokens awarded per claim.

No output schema declared.

No examples provided.

rsnc_agent_update_perk ~113

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier (wallet address). Used for permission and scope checks.
collectionId	number	yes	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.

No output schema declared.

No examples provided.

rsnc_agent_user_balance ~75

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

Input Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier. Use rsnc_agent_list_brands to discover brands by category.
userId	string	yes	User identifier (email address or wallet address).

No output schema declared.

No examples provided.

rsnc_agent_user_persona ~59

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

Input Output Examples

Name	Type	Req	Description
userId	string	yes	The user identifier (email or wallet address).

No output schema declared.

No examples provided.

rsnc_agent_user_portfolio ~70

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 Output Examples

Name	Type	Req	Description
userId	string	yes	User identifier (email address or wallet address).

No output schema declared.

No examples provided.

rsnc_agent_user_recommendations ~67

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

Input Output Examples

Name	Type	Req	Description
limit	number	—	Maximum number of recommendations to return. Defaults to 5.
userId	string	yes	The user identifier (email or wallet address).

No output schema declared.

No examples provided.

rsnc_agent_user_stats ~83

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 Output Examples

Name	Type	Req	Description
brandId	string	yes	The brand identifier. Use rsnc_agent_list_brands to discover brands by category.
userId	string	yes	User identifier (email address or wallet address).

No output schema declared.

No examples provided.

On this page

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Scoring key

80+ high trust
60–79 medium
below 60 low

How we score

Score history · last 30 days

26 Jul 3 Aug

Day	Score
26 Jul	63
27 Jul	63
28 Jul	64
29 Jul	65
30 Jul	65
31 Jul	63
1 Aug	63
2 Aug	64
3 Aug	64