
The Asking API is an HR-tuned LLM (CvGPT & JobGPT) that infers insights and generates content from any CV, resume, or job description. Get format-constrained, deterministic outputs (numbers, booleans, formatted dates, arrays) ready to power your automated HR workflows without prompt engineering.
{ "parsing": { "model": "hrflow-file-v2.1", "confidence": 0.92, }, "profile": { "name": "John Smith", "title": "Data Scientist", "skills": ["ML", "Python"] } }
Trusted by Customers, Partners & the AI Ecosystem

Get precise, deterministic insights and generated content from any CV or job. Force constraints like Plain Text, Booleans, Formatted Dates, or JSON Lists to enrich your single source of truth. No JSON drift. No hallucinations. Only deterministic output values.
Plain Text
e.g., summaries, explanations, inclusive rewrites, resume templating, reference checks, outreach/follow-up/rejection emails, “why this fits” reasoning.
Boolean
e.g., “Is speaking French mandatory?” → “Yes”.
Single string
e.g., “Paris, France”, “Bachelor’s degree”, “fast”, “Order Preparers”.
Numerical
e.g., “What is the average salary…?” → 1175
Formatted Date
You can force formatting in the prompt: “(DD-MM-YYYY)” → 12-11-2023.
JSON List
[“Full-time”, “Temporary”, “Fixed-term contract”]
Defaulted value
e.g., if you specify (default: n/a) it can return that
1{
2 "code": 200,
3 "message": "Asking completed successfully.",
4 "data": {
5 "model": "cvgpt-v1",
6 "prompt": "What is the candidate's latest job title?",
7 "answer": "Senior Data Scientist",
8 "format": "single_string",
9 "confidence": 0.96,
10 "profile": {
11 "key": "abc123",
12 "info": {
13 "first_name": "Sarah",
14 "last_name": "Chen"
15 }
16 }
17 }
18}Test the API in real-time with your own documents. Get production-ready code in seconds.
Interactive testing environment
Upload a resume to parse
PDF, Word, or Image - Maximum size: 10 MB.
Enter your API token or sign in to try the parsing demo.
{
"profile": {
"info": {
"first_name": "John",
"last_name": "Smith",
"email": "john@example.com"
},
"experiences": [{
"company": "TechCorp",
"title": "Senior Engineer",
"location": "San Francisco"
}],
"skills": ["Python", "ML", "NLP"]
}
}Trusted by fast-growing HR Tech and Global Enterprise
Token costs exploded, JSON drift broke our automations, and hallucinations created compliance risk in candidate communication.
HrFlow.ai Asking gave us an HR-native model with compliant generation patterns, format-constrained outputs, and the guardrails we needed for GDPR and EU AI Act alignment.
Open-source LLMs slowed us down. We spent more time maintaining infrastructure than shipping HR features.
HrFlow.ai Asking gave us a managed API with stable outputs and guardrails so our team could focus on product.
We spent weeks tuning prompts and still got inconsistent answers.
HrFlow.ai Asking understands HR prompt intent out of the box. We ship screening, outreach, and interview-kit workflows without building a prompt engineering team.
Token costs exploded, JSON drift broke our automations, and hallucinations created compliance risk in candidate communication.
HrFlow.ai Asking gave us an HR-native model with compliant generation patterns, format-constrained outputs, and the guardrails we needed for GDPR and EU AI Act alignment.
Open-source LLMs slowed us down. We spent more time maintaining infrastructure than shipping HR features.
HrFlow.ai Asking gave us a managed API with stable outputs and guardrails so our team could focus on product.
We spent weeks tuning prompts and still got inconsistent answers.
HrFlow.ai Asking understands HR prompt intent out of the box. We ship screening, outreach, and interview-kit workflows without building a prompt engineering team.
Token costs exploded, JSON drift broke our automations, and hallucinations created compliance risk in candidate communication.
HrFlow.ai Asking gave us an HR-native model with compliant generation patterns, format-constrained outputs, and the guardrails we needed for GDPR and EU AI Act alignment.
Open-source LLMs slowed us down. We spent more time maintaining infrastructure than shipping HR features.
HrFlow.ai Asking gave us a managed API with stable outputs and guardrails so our team could focus on product.
We spent weeks tuning prompts and still got inconsistent answers.
HrFlow.ai Asking understands HR prompt intent out of the box. We ship screening, outreach, and interview-kit workflows without building a prompt engineering team.
Token costs exploded, JSON drift broke our automations, and hallucinations created compliance risk in candidate communication.
HrFlow.ai Asking gave us an HR-native model with compliant generation patterns, format-constrained outputs, and the guardrails we needed for GDPR and EU AI Act alignment.
Open-source LLMs slowed us down. We spent more time maintaining infrastructure than shipping HR features.
HrFlow.ai Asking gave us a managed API with stable outputs and guardrails so our team could focus on product.
We spent weeks tuning prompts and still got inconsistent answers.
HrFlow.ai Asking understands HR prompt intent out of the box. We ship screening, outreach, and interview-kit workflows without building a prompt engineering team.
Mistral gave us strong raw generation, but output stability was a constant fight.
HrFlow.ai Asking returns structured, predictable outputs that plug straight into our pipelines and UI.
Self-hosted open-source LLMs were a maintenance and security headache. Prompt injection and uncontrolled generation created a real risk.
HrFlow.ai Asking gave us a managed API, HR guardrails, and consistent responses we can trust in production.
DeepSeek was impressive technically, but it wasn't built for hiring compliance. We needed GDPR-grade controls and HR guardrails to avoid risky generations.
HrFlow.ai Asking gave us an HR-native model with compliant generation patterns and the operational assurances we needed to deploy in production.
Mistral gave us strong raw generation, but output stability was a constant fight.
HrFlow.ai Asking returns structured, predictable outputs that plug straight into our pipelines and UI.
Self-hosted open-source LLMs were a maintenance and security headache. Prompt injection and uncontrolled generation created a real risk.
HrFlow.ai Asking gave us a managed API, HR guardrails, and consistent responses we can trust in production.
DeepSeek was impressive technically, but it wasn't built for hiring compliance. We needed GDPR-grade controls and HR guardrails to avoid risky generations.
HrFlow.ai Asking gave us an HR-native model with compliant generation patterns and the operational assurances we needed to deploy in production.
Mistral gave us strong raw generation, but output stability was a constant fight.
HrFlow.ai Asking returns structured, predictable outputs that plug straight into our pipelines and UI.
Self-hosted open-source LLMs were a maintenance and security headache. Prompt injection and uncontrolled generation created a real risk.
HrFlow.ai Asking gave us a managed API, HR guardrails, and consistent responses we can trust in production.
DeepSeek was impressive technically, but it wasn't built for hiring compliance. We needed GDPR-grade controls and HR guardrails to avoid risky generations.
HrFlow.ai Asking gave us an HR-native model with compliant generation patterns and the operational assurances we needed to deploy in production.
Mistral gave us strong raw generation, but output stability was a constant fight.
HrFlow.ai Asking returns structured, predictable outputs that plug straight into our pipelines and UI.
Self-hosted open-source LLMs were a maintenance and security headache. Prompt injection and uncontrolled generation created a real risk.
HrFlow.ai Asking gave us a managed API, HR guardrails, and consistent responses we can trust in production.
DeepSeek was impressive technically, but it wasn't built for hiring compliance. We needed GDPR-grade controls and HR guardrails to avoid risky generations.
HrFlow.ai Asking gave us an HR-native model with compliant generation patterns and the operational assurances we needed to deploy in production.
Integrate 200+ tools with the flip of a switch.
















































HR-native ETL with 200+ connectors plus Webhooks to ingest, normalise, and sync jobs & profiles across your stack—reliable pipelines with unified schemas.
No-code automation platform with 8,000+ app integrations to move data between tools using triggers + actions.
Visual automation platform to extract/transform/route data across 3,000+ apps (plus HTTP modules for any API).
Microsoft Power Automate—workflow automation with 1,000+ API connectors (and support for custom connectors).
Enterprise iPaaS/automation platform with 1,200+ pre-built connectors for orchestrating integrations and data workflows at scale.
Salesforce's low-code workflow automation tool; extended via AppExchange with 7,000+ apps to add integrations and capabilities.
HrFlow.ai Asking is an HR-native LLM (not a generic LLM) trained on HR datasets to answer recruiting questions with the right tone, terminology, and reliability, on resumes, CVs, and job descriptions in 43+ languages. It extracts explicit data, infers implicit insights, generates HR content, and returns format-constrained outputs you can store, automate, or power RAG and agent workflows.
Built for sensitive HR data—secure by default, enterprise-ready.
TLS in transit + encryption at rest to protect documents and extracted data.
Minimal storage by default, with configurable retention policies to match your compliance needs.
Built for sensitive HR data—secure by default, enterprise-ready. AI Act– and GDPR-ready processing, with documented controls for data handling and compliance.
Data processing and storage can be aligned with your required region (e.g., EU or US) depending on your deployment.
| Feature | LLMs | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Deployment & Trust | |||||||||||
| Headquarters | 🇫🇷 France | 🇺🇸 USA | 🇫🇷 France | 🇨🇳 China | config | ||||||
| 🇺🇸 USA & 🇪🇺 EU Servers | Built-in | config | config | ||||||||
| GDPR / AI-Act | By design | config | config | ||||||||
| HR Compliance (Safety & Guardrails) | Built-in | ||||||||||
| Pretraining Data | HQ HR Data | Noisy & Biased Web Data | Noisy & Biased Web Data | Noisy & Biased Web Data | Noisy & Biased Web Data | ||||||
| HR-Focused | HR-tuned | ||||||||||
| Input Security (Prompt injection) | |||||||||||
| Unified output object (JSON drift) | |||||||||||
| Deterministic output values (hallucination) | |||||||||||
| Pricing model | per request (predictable) | per input+output tokens (expensive) | per input+output tokens (expensive) | per input+output token (expensive) | per hour | ||||||
| Speed (avg response / 1 page resume) | ~2s | ~4s | ~5s | ~7s | >10s | ||||||
| Speed (avg response / avg job) | ~1s | ~3s | ~4s | ~9s | >10s | ||||||
| DevOps burden (production scale) | Lowest | High | High | High | Extreme | ||||||
| Deployment model | Managed API/SaaS | Managed API | Managed API/SaaS | Managed API / SaaS / Self-host | Self-host | ||||||
| Core Technology | |||||||||||
| Multilingual | 43 lang | 40 lang | 40 lang | Unknown | Unknown | ||||||
| HR zero-config (maintenance burden) | |||||||||||
| HR Prompting | By design | ||||||||||
| Labor Market data | Built-in | config | |||||||||
| Format-constrained Output | Built-in | config | config | config | config | ||||||
| HR Stack integrations (add-ons) | |||||||||||
| Resume, CV, Job parsers | add-on (Parsing API) | Config | Config | Config | Config | ||||||
| HR data enrichment & taxonomies | Built-in (Linking/Tagging APIs) | ||||||||||
| RAG & Agentic Pipelines | add-on (Embedding API & Scoring API) | ||||||||||
| Search Engine Add-on | add-on (Searching API) | ||||||||||
| Recommender System Add-on | add-on (Scoring API) | ||||||||||
| Jobboards / ATS / HCM / HRIS connectors | 200+ connectors (Data Studio) | ||||||||||
| Candidate & Recruiter UI | Widgets (App Studio) | ||||||||||
Everything you need to know about the Asking API
Our APIs are designed to complement each other and unlock your data's full potential
Transform HR documents into structured, enriched Talent & Workforce Data — powering every layer of Hiring Intelligence.
API OverviewUnlock Hiring Superintelligence at scale — with transparent, fair, and explainable ranking across every Talent signal.
API Overview
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HrFlow.ai is an API-first company and the leading AI-powered HR data automation platform.
The company helps +1000 customers (HR software vendors, Staffing agencies, large employers, and headhunting firms) to thrive in a high-volume and high-frequency labor market.
The platform provides a complete and fully integrated suite of HR data processing products based on the analysis of hundreds of millions of career paths worldwide -- such as Parsing API, Tagging API, Embedding API, Searching API, Scoring API, and Upskilling API. It also offers a catalog of +200 connectors to build custom scenarios that can automate any business logic.