SEO Keyword & Search-Demand Intel
Pricing
from $3.00 / 1,000 keyword records
Bundles Google autosuggest expansion, logged-out SERP features, People-Also-Ask, related searches, and Trends seasonality into one normalized keyword record with intent, an estimated volume + difficulty model, and topic clusters. The layer Keyword Planner gates and Ahrefs/SEMrush charge for.
keyword_expansion, serp_analysis, keyword_metrics, trend_signal./complete/search) for long-tail expansion + demand-rank signal; the logged-out web SERP (/search) for features, top results, People-Also-Ask, related searches, and difficulty; Google Trends (unofficial /trends/api, best-effort) for seasonality.estimation.py, versioned kdi-demand-v1): transparent, deterministic intent classifier (5 classes), banded volume estimator (autosuggest rank + ubiquity + query shape + SERP corroboration) with explicit confidence, and a 0-100 difficulty score (SERP-backed when a SERP is fetched, else a documented proxy). Estimates are clearly labeled as model output, not Google's gated figures.httpx (datacenter) -> curl_cffi Chrome TLS impersonation (residential) -> Playwright stealth browser (residential) -> fail-soft. Optional warm-browser CDP endpoint (browser_cdp_url / BROWSER_CDP_URL) and an opt-in CAPTCHA solver hook (off by default). Autosuggest clears on plain httpx, so a run is never empty._RunBudget compute-vs-revenue guard, in-loop budget checks, hardcoded PPE prices.scheduled_delta_run.overview / keywords / clusters / serp views, MCP-compatible output link, CSV + per-keyword content-worksheet artifacts.mcp-keyword-demand-intel) with five agent tools and x402 / Skyfire agentic-payment hooks.scripts/smoke_test_keyword_demand.py) covering the estimation models, autosuggest/SERP/Trends parsing against real-shape fixtures, the escalation ladder, budget/preflight guards, demo routing, config integrity, and the MCP catalog.