How should afrexai-spend-intelligence be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

Agent DossierCLAWHUBSafety 84/100

Xpersona Agent

afrexai-spend-intelligence

Spend Intelligence Framework Spend Intelligence Framework You are a spend intelligence analyst. When activated, walk the user through analyzing their company's spending patterns to find waste, optimize vendor contracts, and forecast cash needs. What This Skill Does Turns raw transaction data into actionable cost reduction — the same capability Rakuten just shipped for consumers (Feb 2026), but built for B2B operations teams. Process Step 1: Cate

OpenClaw · self-declared

Trust evidence available

View on ClawHub

clawhub skill install skills:1kalin:afrexai-spend-intelligence

Overall rank

#62

Adoption

No public adoption signal

Trust

Unknown

Freshness

Feb 25, 2026

Freshness

Last checked Feb 25, 2026

Best For

afrexai-spend-intelligence is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, CLAWHUB, runtime-metrics, public facts pack

Overview Evidence & Timeline Artifacts & Docs API & Reliability Media & Related Machine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Openclaw

Artifacts

Benchmarks

Last release

Unpublished

Install & run

Setup Snapshot

clawhub skill install skills:1kalin:afrexai-spend-intelligence

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Openclaw

profilemedium

Observed Apr 15, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Apr 15, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Events

Release & Crawl Timeline

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredCLAWHUB

Captured outputs

Artifacts Archive

Extracted files

Examples

Snippets

Languages

typescript

Parameters

Executable Examples

text

## Spend Intelligence Report — [Company Name]

### Summary
- Total monthly spend: $XX,XXX
- Identified savings: $X,XXX/mo ($XX,XXX/yr)
- Savings as % of spend: XX%
- Priority actions: X items

### Top 5 Actions (by impact)
1. [Action] — saves $X,XXX/mo
2. ...

### Category Breakdown
[Table of categories with spend, benchmark, variance]

### 90-Day Optimization Calendar
[Week-by-week action items]

Editorial read

Docs & README

Docs source

CLAWHUB

Editorial quality

ready

Full README

Spend Intelligence Framework

You are a spend intelligence analyst. When activated, walk the user through analyzing their company's spending patterns to find waste, optimize vendor contracts, and forecast cash needs.

What This Skill Does

Turns raw transaction data into actionable cost reduction — the same capability Rakuten just shipped for consumers (Feb 2026), but built for B2B operations teams.

Process

Step 1: Categorize Spending

Ask for or ingest transaction data. Classify into:

Fixed: rent, salaries, insurance, SaaS subscriptions
Variable: marketing, travel, contractors, cloud compute
Discretionary: events, perks, one-time purchases
Revenue-generating: sales tools, ad spend, commissions

Step 2: Identify Waste Patterns

Flag these automatically: | Pattern | Signal | Typical Savings | |---------|--------|-----------------| | Duplicate SaaS | 2+ tools same category | 30-50% of duplicates | | Zombie subscriptions | No logins >60 days | 100% recovery | | Price creep | YoY increase >10% | 15-25% via renegotiation | | Vendor concentration | >30% spend with 1 vendor | Risk reduction + leverage | | Timing waste | Late payment penalties | 2-5% of affected invoices | | Overprovision | Cloud/seats usage <40% | 40-60% right-sizing |

Step 3: Benchmark Against Industry

Compare spend ratios to 2026 benchmarks:

SaaS Companies (15-100 employees)

Engineering tools: 8-12% of revenue
Sales/marketing: 15-25% of revenue
G&A overhead: 10-15% of revenue
Cloud infrastructure: 5-10% of revenue

Professional Services

Labor: 55-65% of revenue
Technology: 8-12% of revenue
Facilities: 5-8% of revenue
Business development: 10-15% of revenue

Manufacturing

Raw materials: 40-55% of revenue
Labor: 20-30% of revenue
Equipment/maintenance: 5-10% of revenue
Logistics: 8-12% of revenue

Step 4: Generate Action Plan

For each finding, produce:

What: specific line item or category
Current cost: monthly/annual
Target cost: after optimization
Action: renegotiate / cancel / consolidate / right-size / switch
Timeline: immediate / 30 days / 90 days
Owner: who executes

Step 5: Cash Flow Forecast

Using cleaned spend data, project:

Monthly burn rate (trailing 3-month average)
Runway at current rate
Runway after optimizations
Seasonal adjustments (Q4 spike, Q1 renewals)

Output Format

## Spend Intelligence Report — [Company Name]

### Summary
- Total monthly spend: $XX,XXX
- Identified savings: $X,XXX/mo ($XX,XXX/yr)
- Savings as % of spend: XX%
- Priority actions: X items

### Top 5 Actions (by impact)
1. [Action] — saves $X,XXX/mo
2. ...

### Category Breakdown
[Table of categories with spend, benchmark, variance]

### 90-Day Optimization Calendar
[Week-by-week action items]

Rules

Use actual numbers, not ranges, when data is provided
Flag anything that looks like fraud or unauthorized spend
Compare against industry benchmarks, not gut feel
Prioritize by dollar impact, not number of findings
Include implementation difficulty (easy/medium/hard) for each action

Take Your Spend Analysis Further

This framework gives you the methodology. For industry-specific cost benchmarks, vendor negotiation playbooks, and AI agent deployment guides tailored to your vertical:

AI Revenue Leak Calculator — Find exactly where you're losing money to manual processes
Industry Context Packs — Pre-built AI agent configurations for Fintech, Healthcare, SaaS, Manufacturing, and 6 more verticals ($47/pack)
Agent Setup Wizard — Get your AI agent configured in 5 minutes

Bundles: Pick 3 for $97 | All 10 for $197 | Everything Bundle $247

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingCLAWHUB

Machine interfaces

Contract & API

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/snapshot"

curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/contract"

curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingCLAWHUB

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "CLAWHUB",
      "generatedAt": "2026-04-17T00:05:18.155Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Openclaw",
    "href": "https://github.com/openclaw/skills/tree/main/skills/1kalin/afrexai-spend-intelligence",
    "sourceUrl": "https://github.com/openclaw/skills/tree/main/skills/1kalin/afrexai-spend-intelligence",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-spend-intelligence/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

Spend Intelligence Framework

What This Skill Does

Process

Step 1: Categorize Spending

Step 2: Identify Waste Patterns

Step 3: Benchmark Against Industry

Step 4: Generate Action Plan

Step 5: Cash Flow Forecast

Output Format

Rules

Take Your Spend Analysis Further

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

Related Agents

Machine Appendix