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Brainiall
5 Unified Endpoints · Sub-85ms P95 · Zero Minimum Spend

NLP Pro
Key phrases, aspect sentiment, custom classification (zero-shot), entity linking, and conversational PII.

The capabilities that take Azure AI Language and AWS Comprehend from "basic" to "useful" — at a fraction of the price.

Interactive NLP Suite Endpoint Playground

Test all 5 language endpoints in real time. Inspect deterministic JSON responses and millisecond execution metrics.

Live NLP Suite Endpoint Playground
Endpoint: POST /v1/nlp/sentiment/aspect
Sample Input Payload:
The checkout process was lightning fast and frictionless, but the shipping carrier arrived 3 days late.
checkout process: POSITIVE (0.98)shipping carrier: NEGATIVE (0.94)
Structured JSON Output (Sub-85ms):
{ "aspects": [ { "aspect": "checkout process", "sentiment": "positive", "score": 0.98, "polarity": 1 }, { "aspect": "shipping carrier", "sentiment": "negative", "score": 0.94, "polarity": -0.85 } ], "overall_sentiment": "mixed", "p95_latency_ms": 62 }

Unified Language Intelligence vs Hyperscaler Sprawl

Building modern production applications typically requires juggling 4 to 6 disparate vendor services for entity linking, PII sanitization, and classification—each with separate authentication keys, variable rate limits, and enterprise commit floors. Brainiall NLP Pro consolidates the entire language pipeline into a single high-performance API key.

P95 Inference Latency
< 85ms
Bare-metal optimized execution
Core Endpoints
5 in 1
Keyphrases, Sentiment, Classify, Link, PII
PII Context Depth
Multi-Turn
Audit-safe surrogate token masking
Monthly Floor
$0
Self-serve pay-per-call billing

What you get

POST/v1/nlp/keyphrases

Key Phrases

Top-N ranked phrases from text via statistical scoring (TF + position + casing + stopword filter). No ML model, predictable cost, blazing fast.

POST/v1/nlp/sentiment/aspect

Aspect Sentiment

Per-aspect sentiment scoring. Send a product review + aspects like [camera, battery, screen, price] and get a per-aspect verdict with mention spans.

POST/v1/nlp/classify/custom

Custom Classification (zero-shot)

Define your labels at call time — no training data, no model upload. Returns predicted label + per-label scores. Single or multi-label.

POST/v1/nlp/entities/link

Entity Linking (a public knowledge base)

Detect entities AND link each one to its canonical a public knowledge base Q-id, label, and description. Disambiguate "Apple" the company from "apple" the fruit.

POST/v1/nlp/pii/conversation

Conversational PII (multi-turn)

Detect PII across a multi-turn dialogue with cross-turn coreference. Same email, name, or ID gets the same stable entity_id no matter how often it appears.

When NOT to Use NLP Pro Endpoints

  • Open-ended conversational chat generation: NLP Pro provides deterministic structured classification, extraction, and PII masking endpoints. For agent reasoning and long-term memory, use our Agent Infrastructure family.
  • Scanned document and PDF image OCR: If your input is an unparsed PDF or image scan, use Document Intelligence family to extract text and layout before submitting text to NLP Pro.
  • Heavy audio transcription: Send raw audio to our Audio & Speech family first to generate transcripts, then pipe transcripts to NLP Pro for aspect sentiment or PII scrubbing.

Benchmark Methodology & Verification

All latency and F1 accuracy benchmarks are measured under production load across English, Portuguese, and Spanish test corpora. View details on our Benchmark Methodology page.

Pricing

NLP Pro endpoints share your existing Brainiall NLP, Document, and Speech AI usage — no separate bundle subscription. The Free tier covers ~100-1000 calls/month per endpoint.

Pay-As-You-Go

$0.0005

Per 1K characters analyzed across all 5 endpoints. Zero monthly minimum.

High-Volume Bundle

Volume Tier

Dedicated bare-metal instances with SLA guarantees for >50M characters/month.

Ready to deploy unified NLP endpoints?

Get instant API access and start analyzing text with single-millisecond response times.

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NLP Pro — Brainiall | Brainiall