PageIndex vs Speko: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of PageIndex and Speko — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

PageIndex

Vectify AI

Freemium

Vectorless, reasoning-based RAG engine that indexes long documents as a tree and lets an LLM reason through it, with traceable citations.

Tree Index Instead of Vectors: Builds a hierarchical index from the document's own sections, so there is no chunking, no embeddings and no vector database to maintain.
Reasoning-Based Retrieval: An LLM agentically searches the tree using full context including conversation history and domain knowledge, rather than matching a query embedding.
Traceable Citations: Answers carry explicit page-level references locally and line-level citations on Cloud, so every claim can be checked against the source.
PageIndex Flash: Extracts tree structure from PDFs in seconds using the document's own layout information instead of building it with an LLM.
Local or Cloud SDK: pip install pageindex runs indexing, retrieval and chat entirely on your machine with your own key, or points the same client at PageIndex Cloud with an API key.
MCP Server and API: Connect document reasoning to Claude, Claude Desktop, Cursor or any MCP client, with API-key auth for developers and OAuth for chat users.
PageIndex File System: A Cloud-only file-level tree indexing layer that lets retrieval reason across an entire corpus rather than one document at a time.
Agent Framework Integrations: Ships integration paths for the OpenAI Agents SDK, the Anthropic SDK tool runner, the Claude Agent SDK and other frameworks.

Financial Document QA: Answer questions about 10-Ks, earnings reports and filings with the page the figure came from, the workload where it set a 98.7% FinanceBench record.
Legal and Regulatory Review: Retrieve the governing clause from contracts and regulatory filings where the relevant section is rarely the most semantically similar one.
Technical Manual Lookup: Find the correct procedure in long technical manuals where context and document hierarchy determine which section actually applies.
Medical and Academic Research: Reason over medical literature and textbooks that exceed a model's file size limits, with verifiable references.
Agent Document Tooling: Give an AI agent long-document reasoning via MCP so it can handle PDFs that models cannot ingest directly.
Enterprise Knowledge Bases: Index large document collections in the cloud with OCR and image understanding, and reason across the whole corpus with the File System layer.

Freemium

A router for voice AI that benchmarks 56 speech and language models language by language, then routes each session to the one that wins.

Language-by-Language Benchmarks: 56 speech and language models measured across ten languages, exposing that a model topping the English table may have no published rank anywhere else.
Cost-Versus-Accuracy Charts: Word error rate plotted against dollars per minute for each pipeline stage — STT, LLM, TTS and speech-to-speech — so a model choice is a priced trade-off, not a guess.
Managed Router: A hosted, provider-neutral data plane at router.speko.dev that selects the winning model per session using the measurements and fails over before a response is returned.
Typed Contracts: Public OpenAPI and AsyncAPI specifications for the Router, so integrations are generated rather than hand-rolled against an undocumented endpoint.
Open Gateway Runtime: A customer-side runtime with native LiveKit and Pipecat services offering provider-direct streaming and local BYOK credentials, keeping your vendor relationships intact.
Drop-In Framework Integration: Swap STT, LLM and TTS in a LiveKit AgentSession for Speko equivalents with credential_source="auto" and model="auto" and get routing without restructuring the agent.
MCP Server: Point Claude Code or Cursor at mcp.speko.ai to query models, voices and benchmark data from inside a coding agent.
Two Pricing Paths: Either add 5% on top of a provider's published rate while routing your own spend, or take the bundled Speko infrastructure rate of $0.09 per minute across all three legs.

Multilingual Voice Products: Ship a voice agent to non-English markets and route each language to the model that actually performs best there.
Vendor Selection Research: Use the published benchmarks to decide which STT or TTS provider to sign with before committing to a contract.
Voice Cost Optimization: Trade a small accuracy delta for a large cost reduction by picking a model at the right point on the WER-versus-price curve.
Failover and Reliability: Keep voice sessions alive through a provider outage with pre-response failover across the routed model pool.
LiveKit or Pipecat Migration: Add measured routing to an existing agent stack by swapping in Gateway services rather than rewriting the pipeline.
Agent-Assisted Model Research: Query the benchmark data from Claude or Cursor over MCP while writing the voice integration.