Nyne Deep Research

Research any person using the Nyne Deep Research API. Submit an email, phone, social URL, or name and receive a comprehensive intelligence dossier with psychographic profile, social graph, career analysis, conversation starters, and approach strategy. Async with 2-5 min processing.

Audits

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Agentic behavior and permission review.

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Pattern checks against bundled files.

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Multi-engine malware detections and file reputation.

Install

openclaw skills install nyne-deep-research

Nyne Deep Research Skill

Research any person by email, phone, social URL, or name. Returns a comprehensive intelligence dossier with psychographic profile, social graph, career analysis, conversation starters, and approach strategy.

Important: This API is async with high latency (2-5 min processing). You submit a request, get a request_id, then poll until complete.

Agent Instructions

When presenting results to the user, show maximum depth — display every section of the dossier in full. Do not summarize or truncate. Walk through each section sequentially:

Identity Snapshot — who they are
Career DNA — trajectory and superpower
Psychographic Profile — values, motivations, archetypes
Personal Life & Hobbies — interests outside work
Social Graph Analysis — inner circle, professional network, interest graph
Interest Cluster Deep Dive — all 9 clusters with detail
Content & Voice Analysis — topics, tone, opinions, quotes
Key Relationships — full list with relationship nature and importance
Conversation Starters — all 4 hook categories
Recommendations / How Others See Them — reputation signals
Warnings & Landmines — topics to avoid, sensitivities
Creepy-Good Insights — non-obvious findings with evidence
Approach Strategy — best angle, topics, what not to do

Also include enrichment data (contact info, work history, education) and note whether following and articles sections have data.

If dossier is null, present the enrichment data and let the user know the full dossier was not generated (this can happen with duplicate or cached requests — resubmit with a different identifier).

If following or articles are null, simply note they were not available for this person.

Setup

Required environment variables:

NYNE_API_KEY — your Nyne API key
NYNE_API_SECRET — your Nyne API secret

Get credentials at https://api.nyne.ai.

Set these in your shell before running any commands:

export NYNE_API_KEY="your-api-key"
export NYNE_API_SECRET="your-api-secret"

To persist across sessions, add the exports to your shell profile (~/.zshrc, ~/.bashrc, etc.) or create a .env file and source it:

# Create .env file (keep out of version control)
echo 'export NYNE_API_KEY="your-api-key"' >> ~/.nyne_env
echo 'export NYNE_API_SECRET="your-api-secret"' >> ~/.nyne_env
source ~/.nyne_env

Verify they're set:

echo "Key: ${NYNE_API_KEY:0:8}... Secret: ${NYNE_API_SECRET:0:6}..."

Important: JSON Handling

The API response can contain control characters in JSON string values that break jq. All examples below use a nyne_parse helper that pipes through python3 to clean and re-encode the JSON before passing to jq. Define it once per session:

nyne_parse() {
  python3 -c "
import sys, json, re
raw = sys.stdin.read()
clean = re.sub(r'[\x00-\x1f]+', ' ', raw)
data = json.loads(clean)
json.dump(data, sys.stdout)
"
}

Quick Start

Submit a research request by email and poll until complete:

# Define helper (strips control chars, re-encodes clean JSON)
nyne_parse() {
  python3 -c "
import sys, json, re
raw = sys.stdin.read()
clean = re.sub(r'[\x00-\x1f]+', ' ', raw)
data = json.loads(clean)
json.dump(data, sys.stdout)
"
}

# Submit research request
REQUEST_ID=$(curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"email": "someone@example.com"}' | nyne_parse | jq -r '.data.request_id')

echo "Request submitted: $REQUEST_ID"

# Poll until complete (checks every 5s, times out after 10 min)
SECONDS_WAITED=0
while [ $SECONDS_WAITED -lt 600 ]; do
  curl -s "https://api.nyne.ai/person/deep-research?request_id=$REQUEST_ID" \
    -H "X-API-Key: $NYNE_API_KEY" \
    -H "X-API-Secret: $NYNE_API_SECRET" | nyne_parse > /tmp/nyne_response.json
  STATUS=$(jq -r '.data.status' /tmp/nyne_response.json)
  echo "Status: $STATUS ($SECONDS_WAITED seconds elapsed)"
  if [ "$STATUS" = "completed" ]; then
    jq '.data.result' /tmp/nyne_response.json
    break
  elif [ "$STATUS" = "failed" ]; then
    echo "Research failed."
    jq . /tmp/nyne_response.json
    break
  fi
  sleep 5
  SECONDS_WAITED=$((SECONDS_WAITED + 5))
done

if [ $SECONDS_WAITED -ge 600 ]; then
  echo "Timed out after 10 minutes. Try polling manually with request_id: $REQUEST_ID"
fi

Submit Research (POST)

Endpoint: POST https://api.nyne.ai/person/deep-research

Headers:

Content-Type: application/json
X-API-Key: $NYNE_API_KEY
X-API-Secret: $NYNE_API_SECRET

Parameters:

Parameter	Type	Description
`email`	string	Email address
`phone`	string	Phone number
`social_media_url`	string or array	Social profile URL(s), up to 3
`name`	string	Full name (use with `company` or `city` for disambiguation)
`company`	string	Company name (helps disambiguate `name`)
`city`	string	City (helps disambiguate `name`)
`callback_url`	string	Webhook URL to POST results when complete

At least one identifier is required: email, phone, social_media_url, or name with company/city.

Examples

By email:

curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"email": "someone@example.com"}' | nyne_parse | jq .

By social media URL:

curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"social_media_url": "https://twitter.com/elonmusk"}' | nyne_parse | jq .

By multiple social URLs:

curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"social_media_url": ["https://twitter.com/elonmusk", "https://linkedin.com/in/elonmusk"]}' | nyne_parse | jq .

By name + company:

curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"name": "Jane Smith", "company": "Acme Corp"}' | nyne_parse | jq .

By phone:

curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"phone": "+14155551234"}' | nyne_parse | jq .

Submit response (HTTP 202):

{
  "success": true,
  "data": {
    "request_id": "abc123-def456-...",
    "status": "pending"
  }
}

Poll for Results (GET)

Endpoint: GET https://api.nyne.ai/person/deep-research?request_id={id}

Headers: Same X-API-Key and X-API-Secret as above.

Status progression: pending → enriching → gathering → analyzing → completed (or failed)

This typically takes 2-3 minutes.

Check status once

curl -s "https://api.nyne.ai/person/deep-research?request_id=$REQUEST_ID" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" | nyne_parse | jq '{status: .data.status, completed: .data.completed}'

Full polling loop

SECONDS_WAITED=0
TIMEOUT=600  # 10 minutes

while [ $SECONDS_WAITED -lt $TIMEOUT ]; do
  curl -s "https://api.nyne.ai/person/deep-research?request_id=$REQUEST_ID" \
    -H "X-API-Key: $NYNE_API_KEY" \
    -H "X-API-Secret: $NYNE_API_SECRET" | nyne_parse > /tmp/nyne_response.json
  STATUS=$(jq -r '.data.status' /tmp/nyne_response.json)

  echo "[$(date +%H:%M:%S)] Status: $STATUS ($SECONDS_WAITED s)"

  case "$STATUS" in
    completed)
      jq '.data.result' /tmp/nyne_response.json
      break
      ;;
    failed)
      echo "Research failed:"
      jq '.data' /tmp/nyne_response.json
      break
      ;;
    *)
      sleep 5
      SECONDS_WAITED=$((SECONDS_WAITED + 5))
      ;;
  esac
done

if [ "$STATUS" != "completed" ] && [ "$STATUS" != "failed" ]; then
  echo "Timed out. Resume polling with request_id: $REQUEST_ID"
fi

Response Structure

When status is completed, the response looks like:

{
  "success": true,
  "timestamp": "2025-01-15T12:00:00Z",
  "data": {
    "status": "completed",
    "completed": true,
    "request_id": "abc123-...",
    "created_on": "2025-01-15T11:57:00Z",
    "completed_on": "2025-01-15T12:00:00Z",
    "result": {
      "enrichment": { ... },
      "dossier": { ... },
      "following": { ... },
      "articles": [ ... ]
    }
  }
}

`result` sections

Section	Description
`enrichment`	Contact info, social profiles, bio, schools, work history (20+ keys)
`dossier`	The main intelligence output — 15 sections (see below)
`following`	Twitter/Instagram following data (can be null)
`articles`	Press and media mentions (can be null)

Dossier Sections Reference

The dossier object contains 15 sections:

`identity_snapshot`

Top-level identity summary.

full_name, current_role, company, location, age_estimate, emails, social_profiles, headline, birthday, self_description

`career_dna`

Career trajectory and strengths.

trajectory, superpower

`psychographic_profile`

Values, motivations, and personality archetypes.

values, motivations, archetypes, political_leanings, cluster_analysis

`personal_life_hobbies`

Interests and personality outside of work.

life_outside_work, entertainment_culture, personal_passions, active_hobbies_sports, quirks_personality

`social_graph_analysis`

Network and relationship mapping.

inner_circle, professional_network, personal_interest_graph

`interest_cluster_deep_dive`

Deep analysis across 9 interest clusters.

tech, sports_fitness, music_entertainment, food_lifestyle, causes_politics, intellectual_interests, geographic_ties, personal_network, unexpected_surprising

`content_voice_analysis`

How they communicate and what they care about.

topics, tone, humor_style, strong_opinions, frustrations, notable_quotes, recent_wins

`content_analysis`

Alias of content_voice_analysis (kept for backward compatibility).

`key_relationships`

List of ~25 objects describing important connections.

Each: name, handle, followers, relationship_nature, why_important

`key_influencers`

Alias of key_relationships.

`conversation_starters`

Hooks to open conversation, in 4 categories.

professional_hooks, personal_interest_hooks, current_events_hooks, shared_experience_hooks

`recommendations_how_others_see_them`

Public perception and reputation signals.

highlighted_qualities, colleague_descriptions, patterns_in_praise

`warnings_landmines`

Topics and areas to avoid.

topics_to_avoid, political_hot_buttons, sensitive_career_history, competitors_they_dislike

`creepy_good_insights`

Non-obvious insights derived from data.

List of objects: insight, evidence

`approach_strategy`

How to approach this person.

best_angle, topics_that_resonate, personal_interests_to_reference, shared_connections, what_not_to_do

Useful jq Filters

After polling completes, the clean response is at /tmp/nyne_response.json. Use jq directly on the file:

# Extract identity snapshot
jq '.data.result.dossier.identity_snapshot' /tmp/nyne_response.json

# Get all conversation starters
jq '.data.result.dossier.conversation_starters' /tmp/nyne_response.json

# List key relationships (name + why important)
jq '.data.result.dossier.key_relationships[] | {name, why_important}' /tmp/nyne_response.json

# Get approach strategy
jq '.data.result.dossier.approach_strategy' /tmp/nyne_response.json

# Extract a specific dossier section by name
jq --arg s "psychographic_profile" '.data.result.dossier[$s]' /tmp/nyne_response.json

# Get enrichment contact info
jq '.data.result.enrichment | {emails, phones, linkedin_url, twitter_url}' /tmp/nyne_response.json

# Check processing status only
jq '{status: .data.status, completed: .data.completed, request_id: .data.request_id}' /tmp/nyne_response.json

# Get warnings and landmines
jq '.data.result.dossier.warnings_landmines' /tmp/nyne_response.json

# List all creepy-good insights
jq '.data.result.dossier.creepy_good_insights[].insight' /tmp/nyne_response.json

Error Handling

HTTP Code	Error	Description
400	`INVALID_PARAMETERS`	Malformed request body
400	`MISSING_PARAMETER`	No identifier provided (need email, phone, social_media_url, or name+company/city)
401	`AUTHENTICATION_FAILED`	Invalid or missing API key/secret
402	`INSUFFICIENT_CREDITS`	Not enough credits (100 credits per request)
403	`NO_ACTIVE_SUBSCRIPTION`	Subscription required
403	`ACCESS_DENIED`	Account does not have access
429	`RATE_LIMIT_EXCEEDED`	Too many requests
500	`QUEUE_ERROR`	Internal processing error

Rate Limits & Costs

Rate limits: 10 requests/minute, 100 requests/hour
Cost: 100 credits per research request
Processing time: Typically 2-3 minutes, up to 5 minutes

Nyne Deep Research

Audits

Install

Nyne Deep Research Skill

Agent Instructions

Setup

Important: JSON Handling

Quick Start

Submit Research (POST)

Examples

Poll for Results (GET)

Check status once

Full polling loop

Response Structure

result sections

Dossier Sections Reference

identity_snapshot

career_dna

psychographic_profile

personal_life_hobbies

social_graph_analysis

interest_cluster_deep_dive

content_voice_analysis

content_analysis

key_relationships

key_influencers

conversation_starters

recommendations_how_others_see_them

warnings_landmines

creepy_good_insights

approach_strategy