Intelligent AI Science Monitor
Enterprise-grade content intelligence. Monitor quality at scale, enforce compliance automatically, and get real-time scoring across your entire publishing pipeline.
What IASM Does
Real-Time Quality Scoring
7-metric readability analysis (Flesch-Kincaid, Dale-Chall, SMOG, Coleman-Liau, Spache, ARI, Gunning Fog) with age-group gating. Every piece of content scored instantly.
Content Safety Screening
Automated screening for age-inappropriate content, bias detection, and compliance checks. Kids content gets extra scrutiny with vocabulary and tone analysis.
Anti-Pattern Detection
Catches filler words, excessive passive voice, unsupported claims, sentence repetition, and generic transitions. Scores penalized automatically.
Plagiarism Analysis
Per-passage fingerprinting using Winnowing algorithm with SimHash. Cross-reference against your corpus and external sources at document and paragraph level.
Fact Verification
Atomic claim extraction, verifiability scoring, and evidence cross-referencing. Flag unsupported claims before they reach readers.
Self-Refine Pipeline
4-round AI revision loop: generate, critique against rubric, revise, polish. Below-threshold content automatically enters the improvement cycle.
Enterprise Pricing
Volume-based pricing. No per-API-call fees. Self-hosted option available.
Starter
- Up to 10,000 documents/month
- All 7 readability metrics
- Anti-pattern detection
- Content safety screening
- REST API access
- Email support
Professional
- Up to 100,000 documents/month
- Everything in Starter
- Plagiarism analysis
- Fact verification
- Self-Refine pipeline
- Webhook integrations
- Priority support
Enterprise
- Unlimited documents
- Everything in Professional
- Self-hosted deployment option
- Custom model training
- SLA guarantee (99.9%)
- Dedicated account manager
- SSO + SAML integration
API Reference
POST /api/v1/iasm/score
{
"text": "Your content to analyze...",
"age_group": "8-12",
"checks": ["readability", "safety", "anti_patterns", "plagiarism"]
}
// Response
{
"score": 9.2,
"readability": {
"flesch_kincaid": 5.8,
"dale_chall": 6.1,
"smog": 7.2,
"age_appropriate": true
},
"safety": {"passed": true, "flags": []},
"anti_patterns": {"filler_count": 2, "passive_pct": 12.3},
"plagiarism": {"max_similarity": 0.08, "flagged_passages": []}
}
POST /api/v1/iasm/batch
{
"documents": [
{"id": "doc-1", "text": "First document..."},
{"id": "doc-2", "text": "Second document..."}
],
"webhook_url": "https://your-app.com/iasm-callback"
}
// Response
{
"job_id": "batch-abc123",
"status": "processing",
"documents_queued": 2
}
Request a Demo
Tell us about your publishing pipeline and we'll show you how IASM can automate your quality assurance.