Inside the Solarflare API.
Six capabilities that turn continuous proxy network observation into a usable signal for fraud, security, and data teams. No static blocklists. No opaque scoring. Just a fresh observed signal you can plug into existing risk decisions.
Fresh observed proxy signals
Static IP databases lag behind real-world proxy infrastructure by weeks. Solarflare's signal is observational and current: if an IP has recently appeared in proxy network behaviour, the API knows. Use it to catch the long tail of residential and mobile proxy traffic that traditional vendors miss.
- Continuous network testing, daily refresh
- Captures residential and mobile proxy IPs
- Designed for recency, not historical coverage
- Complements MaxMind, IPinfo, and internal feeds
Simple API lookup
One endpoint, one IP, one JSON response. Authenticated with a bearer token, sub-200ms typical latency, no SDK required. Drop it inline at signup, login, payment, and high-value events.
- Single GET /v1/ip/:ip endpoint
- Bearer-token auth, no SDK lock-in
- Sub-200ms typical response
- Clean JSON: boolean, confidence, last seen, network type
Bulk IP analysis
Send up to millions of IPs per batch through the bulk endpoint or by uploading a file. Get back a structured report with per-IP signals, network classifications, and aggregate stats. Built for retro-analysis of click streams, payment logs, and account cohorts.
- Millions of IPs per batch
- API or file upload (CSV, JSONL)
- Aggregate breakdowns + per-IP detail
- Async job model with webhook callback
Last-seen timestamps
Recency matters in risk decisions. An IP observed yesterday is a different signal than an IP last seen six months ago. Solarflare exposes last_seen on every record so your risk model can weigh fresh observations more heavily — and decay older ones automatically.
- ISO-8601 last_seen on every record
- Configurable freshness windows
- Decay-friendly for risk models
- Distinguishes hot, warm, cold observations
Confidence scoring
Confidence reflects how many independent observations support the signal, how recent they are, and how cleanly the IP's behaviour matches proxy infrastructure. Low-confidence signals are great for step-up verification; high-confidence signals are ready for hard blocks.
- low / medium / high confidence levels
- Network-type classification included
- Threshold-friendly for fraud rules
- Tuned for false-positive sensitivity
Cross-network connections
Solarflare isn't a replacement for your existing stack — it's a single API that adds a fresh observed proxy dimension to MaxMind, IPinfo, internal fraud models, bot-detection vendors, SIEMs, threat intel platforms, and dozens of other downstream systems via webhook and REST integrations. No rip-and-replace, no architecture changes.
- Plugs into MaxMind, IPinfo, and others
- Connects fraud, SIEM, bot-detection, and threat intel
- Webhook + REST integration patterns
- Stable schema with semantic versioning
Want to test your IP data against Solarflare?
Send us a sample list of IPs and we'll return a proxy intelligence match report — confidence-scored, with last-seen timestamps and network-type classification. No commitment.