Provably

What can Provably prove and what failures can it stop?

Provably proves the endpoint, request, and result of every agent interaction with deterministic systems — application APIs, databases, developer tools, and internal services exposed through MCP servers, CLIs, APIs, or SDKs. That covers data retrievals, status checks, state updates, action payloads, handoffs, and logs. It stops data hallucinations, poisoned outputs, incomplete handoffs, and incorrect summaries built on unverifiable source data.

How is Provably different from observability, evals, and LLM judges?

Provably is complementary to observability, evals, and LLM judges. Observability tools require trace collection across teams and networks, high-effort classification of agent outputs, and mostly cover subjective reasoning errors that need human review — and even then, the success rate of failure attribution is around 29%. Provably takes a different path: agents prove the source, request, and result behind their answers deterministically and cryptographically, in real time, with no extra traces. Use observability for reasoning and model behavior; use Provably to verify source-backed data before

How fast is setup and what does it work with?

Provably ships as a Python SDK that monkey-patches outbound HTTP calls (requests, httpx, aiohttp) — no trace collection or code rewrites required. It works with OpenAI Agents SDK, Anthropic SDK, LangChain, LangGraph, LlamaIndex, AutoGen, Pydantic AI, CrewAI, Google GenAI, LiteLLM, and DSPy via transport-level patching. Downstream services verify proofs through a public verification API; the sender only passes proof metadata alongside the answer. Agents can also deploy Provably themselves using the provided templates and skills.

Does Provably add latency or cost?

Verification runs in milliseconds and proofs are under 5kb. Downstream agents verify proof metadata without re-querying the source system, which cuts repeated API calls, latency, and permission overhead. Provably is delivered as SaaS, but provers and verifiers can also run on-prem next to the source system, reducing latency further.

How does the technology work?

Provably is a verifiable database middleware. It compiles SQL queries directly over tabular data and produces verifiable SQL proofs of data and query integrity — proofs are under 5kb, with no SNARKs or specialised circuits required. The underlying research, qedb: Expressive and Modular Verifiable Databases (without SNARKs) (https://eprint.iacr.org/2025/1408), has been accepted into CCS 2026 (https://www.sigsac.org/ccs/CCS2026/). You can use Provably as a verifiable registry, a verifiable log, or a middleware layer for verifiable data collaboration. Traditional ledgers and audit logs were built