Manage conversation state for AI agents — entity extraction, summarization and context compression. Built for AI developers.

Calculate LLM inference costs — token pricing for GPT-4, Claude and open source models. Built for AI developers.

Check keyword density in content. Detect optimal range and keyword stuffing. Built for AI SEO agents.

Analyzes and processes data aggregator data — optimized for agents, LLMs, and MCP pipelines.

Calculate your debt freedom date and total interest cost. Built for AI personal finance agents.

Audit model cards for intended use, metrics, limitations, risks, data, and evaluation coverage

Audit agent tool permissions for overbroad scopes, sensitive actions, and least-privilege gaps

Simulate stablecoin depeg losses, liquidity haircuts, recovery timing, and portfolio risk

Map webhook contracts for agents from event types, retry policy, signature, payload schema, and idempotency

Take screenshot of any webpage

Design API pricing tiers, usage limits, per-call pricing, and monetization recommendations

Format datasets for open data repositories

Build agent incident postmortems from trigger, impact, timeline, tool calls, control gaps, and fixes

Plan prompt regression tests from behavior changes, golden cases, failure modes, and release risk

Real-time stock market signal scoring, event detection, portfolio risk, streaming, and execution-gated trading intelligence for AI agents

Build link graph from domain pages

Code-focused developer tools — JSON schema validation, env checking, color conversion and HTTP status codes.

Score data quality for agents with completeness, accuracy and consistency metrics

Philosophy reference: thinkers, schools of thought, ethical frameworks, logical systems and argument structures.

Election intelligence: results history, candidate profiles, polling averages, fundraising data and turnout analysis.