validating-aws-pricing
MANDATORY validation of AWS cost findings. Cross-checks savings estimates against actual billing data and correct pricing formulas. Catches errors like confusing storage vs ingestion costs. Run BEFORE generating any report.
Validating AWS Pricing
MANDATORY validation step that catches pricing errors before they reach the user.
Why This Matters
Common errors this skill catches:
- CloudWatch Logs: Confusing $0.50/GB ingestion with $0.03/GB storage
- Savings exceeding actual service spend (impossible)
- Wrong multipliers or formulas
- Missing cost components
Purpose
This skill validates pricing for ALL findings using the Zero Hallucination Pricing System. Every finding must have a verifiable pricing_source. Findings without a pricing source or with fabricated prices are rejected (set to monthly_savings=0 with pricing_unknown=true).
Quick Start
# Validate with default $100 threshold (queries API only for >$100 findings)
python skills/validating-aws-pricing/scripts/validate_pricing.py findings.json --profile ctm
# Lower threshold to validate more findings
python skills/validating-aws-pricing/scripts/validate_pricing.py findings.json --profile ctm --threshold 50
# Works with any AWS auth method (SSO, access keys, IAM role)
python skills/validating-aws-pricing/scripts/validate_pricing.py findings.json # uses default credentials
What Gets Updated
For findings above threshold (default $100):
- Queries real AWS Pricing API for EC2, RDS, EBS
- Updates
monthly_savingswith validated value - Marks
api_validated: truein metadata
For findings below threshold:
- Uses fallback estimates (fast, no API calls)
- Marks
api_validated: falsein metadata
All findings get pricing_validated metadata showing the source.
Pricing Calculation by Finding Type
Idle Resources (EC2-001, etc.)
Savings = Full monthly cost of the resource
savings = hourly_rate * 730 # Resource should be terminated
Unattached Storage (EC2-012, EBS-001)
Savings = Storage cost per month
savings = size_gb * price_per_gb # e.g., 100GB * $0.08 = $8.00
Over-provisioned (RDS-002, LAMBDA-001)
Savings = Difference between current and recommended size
current_cost = current_hourly * 730
recommended_cost = recommended_hourly * 730
savings = current_cost - recommended_cost
No RI Coverage (RDS-005)
Savings = On-Demand cost - Reserved Instance cost
on_demand_monthly = hourly_rate * 730
ri_monthly = ri_upfront / 12 + ri_hourly * 730
savings = on_demand_monthly - ri_monthly # ~40-60% typically
CloudWatch Logs (SEC-001)
Savings = Storage cost that can be avoided with retention policy
savings = stored_gb * 0.03 # $0.03 per GB-month
AWS Pricing Reference
Current pricing (us-east-1):
| Resource | Price | Unit | Monthly (730 hrs) |
|---|---|---|---|
| t2.nano | $0.0058 | /hour | $4.23 |
| t3.nano | $0.0052 | /hour | $3.80 |
| gp3 storage | $0.08 | /GB-month | - |
| db.r5.xlarge | $0.50 | /hour | $365.00 |
| cache.t3.small (Valkey) | $0.0272 | /hour | $19.86 |
| CloudWatch Logs | $0.03 | /GB-month | - |
For complete pricing, see PRICING_REFERENCE.md.
Output
The script updates findings.json in place:
{
"check_id": "EC2-001",
"monthly_savings": 4.23,
"pricing_validated": {
"source": "AWS Pricing API",
"validated_at": "2026-01-19T10:00:00Z",
"hourly_rate": 0.0058,
"calculation": "0.0058 * 730 hours"
}
}
Workflow
- Load
findings.json - For each finding:
- Identify resource type from
check_idanddetails - Query AWS Pricing API (or use cached known prices)
- Calculate correct savings based on finding category
- Update
monthly_savingsfield - Add
pricing_validatedmetadata
- Identify resource type from
- Recalculate
total_monthly_savingsin metadata - Save updated
findings.json
Task Checklist
- [ ] Load findings.json
- [ ] Get actual billing from Cost Explorer (by service AND usage type)
- [ ] ANTI-HALLUCINATION CHECKS (run first):
- [ ] Every finding has details.pricing_source (reject if missing)
- [ ] Every finding with savings > 0 has details.calculation (reject if missing)
- [ ] No findings have savings > 0 with pricing_source="pricing_unknown" (reject if found)
- [ ] No idle findings count missing metrics as zero activity (reject if found)
- [ ] Downsize targets are same-family-one-size-down or from Compute Optimizer (reject if not)
- [ ] For EACH finding:
- [ ] Verify formula matches finding type
- [ ] Check savings <= service spend (sanity check)
- [ ] Query AWS Pricing API for ALL findings with pricing_source != "aws_pricing_api"
- [ ] Check OS matches (Windows vs Linux) for EC2 findings
- [ ] Check deployment option matches (Multi-AZ vs Single-AZ) for RDS findings
- [ ] Check all EBS components (storage + IOPS + throughput) for EBS findings
- [ ] Recalculate if errors found
- [ ] Add calculation breakdown to details
- [ ] Flag any corrected findings with pricing_corrected: true
- [ ] Set any unfixable findings to monthly_savings=0 with pricing_unknown=true
- [ ] Recalculate total savings in metadata
- [ ] Save corrected findings.json
- [ ] Regenerate report with accurate prices
CRITICAL: Sanity Check Rules
Rule 1: Savings Cannot Exceed Service Spend
assert finding.monthly_savings <= service_monthly_spend, \
f"Finding {finding.check_id} claims ${finding.monthly_savings} but service only costs ${service_monthly_spend}"
Example Failure:
- Finding: CloudWatch Logs retention saves $594/mo
- Billing: CloudWatch total spend = $159/mo
- INVALID - immediately flag and recalculate
Rule 2: Use Correct Cost Component
Many AWS services have MULTIPLE cost components:
| Service | Components | What Retention Affects |
|---|---|---|
| CloudWatch Logs | Ingestion ($0.50/GB) + Storage ($0.03/GB) | Storage ONLY |
| S3 | Storage + Requests + Transfer | Storage + old versions |
| EBS | Storage + IOPS + Throughput | Storage ONLY |
| RDS | Compute + Storage + I/O | Depends on finding |
Rule 3: Verify With Usage Type Breakdown
For any finding > $100, get usage-type breakdown:
aws ce get-cost-and-usage --profile {profile} \
--time-period Start=2025-12-01,End=2026-01-01 \
--granularity MONTHLY \
--metrics UnblendedCost \
--filter '{"Dimensions": {"Key": "SERVICE", "Values": ["AmazonCloudWatch"]}}' \
--group-by Type=DIMENSION,Key=USAGE_TYPE
This shows:
DataProcessing-Bytes: Log ingestion ($0.50/GB)TimedStorage-ByteHrs: Log storage ($0.03/GB)
Only storage can be reduced by retention policy!
Common Pricing Mistakes & Corrections
CloudWatch Logs Retention
WRONG:
savings = stored_gb * 0.50 # Using ingestion price!
# 221 GB * $0.50 = $110.50 # WRONG!
CORRECT:
savings = stored_gb * 0.03 # Storage price
# 221 GB * $0.03 = $6.63 # CORRECT!
Even more correct (check what % is older than retention):
# If setting 90-day retention, only logs older than 90 days are deleted
# Estimate 50% of stored data is older than 90 days
savings = stored_gb * 0.03 * 0.5
Unattached EBS Volume
CORRECT:
savings = size_gb * price_per_gb
# gp3: 100 GB * $0.08 = $8.00
# gp2: 100 GB * $0.10 = $10.00
Over-provisioned RDS
CORRECT:
current_cost = current_hourly * 730
recommended_cost = recommended_hourly * 730
savings = current_cost - recommended_cost
# db.r5.xlarge -> db.r5.large
# $0.50 * 730 - $0.25 * 730 = $365 - $182.50 = $182.50
Validation Output Format
After validation, each finding should include:
{
"check_id": "LOG-001",
"monthly_savings": 6.64,
"pricing_validated": {
"validated_at": "2026-01-19T12:00:00Z",
"original_estimate": 594.34,
"corrected": true,
"correction_reason": "Used storage price ($0.03/GB) instead of ingestion price ($0.50/GB)",
"calculation": "221.4 GB × $0.03/GB = $6.64",
"sanity_check": {
"service": "AmazonCloudWatch",
"service_spend": 159.13,
"finding_savings": 6.64,
"passed": true
}
}
}