Chaitin IP Intelligence
CLI ToolFree** - Search for IP addresses using Chaitin's IP Intelligence API.
Capabilities6 decomposed
ip address geolocation and threat intelligence lookup
Medium confidenceQueries Chaitin's IP Intelligence API to retrieve comprehensive geolocation data, ASN information, and threat indicators for a given IP address. The tool constructs HTTP requests to Chaitin's REST endpoint, parses JSON responses containing location coordinates, ISP details, and security classifications, and formats results for display. Supports batch lookups through iterative API calls with configurable rate limiting to avoid throttling.
Direct integration with Chaitin's proprietary IP Intelligence API (Chinese threat intelligence provider), providing access to threat classifications and geolocation data not available through public WHOIS or MaxMind APIs. Implements simple CLI wrapper pattern for rapid IP lookups without requiring complex SDK setup.
Lighter-weight and faster to deploy than full SIEM platforms, with direct access to Chaitin's threat database; however, limited to Chaitin's intelligence coverage and lacks the multi-source enrichment of commercial platforms like Shodan or AbuseIPDB
batch ip intelligence processing with result aggregation
Medium confidenceProcesses multiple IP addresses sequentially through the Chaitin API, aggregating results into a unified output format. The tool reads IP lists from files or stdin, iterates through each address with error handling for invalid IPs, and consolidates responses into structured data (JSON array or CSV table). Implements basic rate-limiting via configurable delays between requests to respect API quotas.
Implements simple but effective batch aggregation pattern with configurable output formats (JSON, CSV) and built-in rate-limiting delays. Uses streaming file I/O to avoid loading entire IP lists into memory upfront, enabling processing of moderately large datasets without excessive RAM usage.
Simpler and faster to set up than Splunk or ELK enrichment pipelines, but lacks the distributed processing and fault tolerance of enterprise SIEM batch jobs
api response parsing and structured data extraction
Medium confidenceParses JSON responses from Chaitin's API and extracts relevant fields (IP, country, ASN, threat classification, confidence scores) into a normalized data structure. The tool maps API response fields to consistent output schema, handles missing or null values gracefully, and validates data types (e.g., ensuring coordinates are floats, threat levels are enums). Supports multiple output serialization formats (JSON, CSV, human-readable text) from the same parsed data.
Implements lightweight, schema-aware parsing that normalizes Chaitin's API response format into multiple output formats without requiring a full data transformation framework. Uses Python's native json and csv modules rather than external dependencies, keeping the tool minimal and portable.
Simpler and faster than building custom Pandas or Polars transformations, but less flexible for complex data transformations or schema evolution
command-line interface with argument parsing and configuration
Medium confidenceProvides a CLI interface for IP lookups with argument parsing for IP input, output format selection, API key configuration, and rate-limiting parameters. Uses argparse or similar to handle flags like --format (json/csv/text), --output-file, --rate-limit, and --api-key. Supports both interactive prompts and non-interactive scripting modes, with configuration file support for storing API credentials and default parameters.
Implements a straightforward argparse-based CLI that prioritizes simplicity and shell integration over feature richness. Supports piping and redirection for Unix-style tool composition, allowing IP lookups to be chained with grep, awk, and other command-line utilities.
More accessible than writing Python scripts directly, but less flexible than a full SDK; comparable to curl-based API wrappers but with better argument handling and output formatting
api authentication and credential management
Medium confidenceHandles Chaitin API authentication by accepting and validating API keys, supporting multiple credential input methods (command-line flags, environment variables, configuration files). The tool constructs authenticated HTTP requests by injecting the API key into request headers or query parameters as required by Chaitin's API specification. Implements basic validation to detect missing or invalid credentials before making API calls, reducing wasted requests.
Implements flexible credential input with support for environment variables and configuration files, allowing secure credential management in containerized and CI/CD environments without hardcoding secrets in code. Uses standard Python os module for environment variable access, avoiding external dependencies.
More flexible than hardcoded credentials but less secure than dedicated secret management systems like HashiCorp Vault or AWS Secrets Manager; comparable to other CLI tools that support environment variable configuration
error handling and graceful failure recovery
Medium confidenceImplements error handling for common failure scenarios: invalid IP addresses, API authentication failures, network timeouts, rate limiting (HTTP 429), and malformed API responses. The tool catches exceptions, logs meaningful error messages, and continues processing (for batch operations) or exits gracefully with appropriate exit codes. Supports optional retry logic with exponential backoff for transient failures like network timeouts.
Implements pragmatic error handling that prioritizes batch job completion over failing fast. Uses try/except blocks to catch API errors and network failures, allowing batch processing to continue even when individual IP lookups fail, with optional error summaries for post-processing analysis.
More robust than naive implementations that crash on first error, but less sophisticated than enterprise error handling with circuit breakers and adaptive retry strategies
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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查询任意 IP 的威胁情报，快速识别风险与信誉。获取地理位置、ASN 与历史恶意行为等关键信息，辅助溯源、封禁与处置。加速告警研判与日常安全排查，提升响应效率。
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Geographic data, live exchange rates, and IP geolocation for Claude Desktop, Cursor, and any MCP-compatible AI assistant.
Best For
- ✓security analysts and SOC teams performing IP-based threat investigations
- ✓DevOps engineers automating IP reputation checks in CI/CD pipelines
- ✓threat intelligence teams enriching incident data with geolocation context
- ✓network administrators auditing access logs for suspicious geographic patterns
- ✓security teams processing large firewall or proxy logs with hundreds of IPs
- ✓threat intelligence analysts building IP reputation datasets
- ✓incident responders correlating multiple suspicious IPs from an attack
- ✓compliance teams auditing access patterns by geographic origin
Known Limitations
- ⚠Dependent on Chaitin API availability and rate limits — no local fallback or caching mechanism
- ⚠No built-in persistence layer — results not cached between runs, requiring repeated API calls for same IPs
- ⚠Limited to Chaitin's threat intelligence database — may miss emerging threats not yet indexed
- ⚠No support for IPv6 validation or CIDR range queries — only single IPv4 lookups
- ⚠Synchronous API calls block execution — no async/concurrent batch processing for large datasets
- ⚠Sequential processing only — no parallelization, making large batches (1000+ IPs) slow
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
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** - Search for IP addresses using Chaitin's IP Intelligence API.
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