Agent tool-call authorization and audit gateway

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will platform and security teams connecting AI agents to internal tools and third-party services use it to solve "agents call tools with standing credentials, so permissions are broad, approvals are manual and audit records are incomplete"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Blocked unauthorized calls per review cycle and audit records complete without manual reconstruction.
4. Measure, then decide. Track blocked unauthorized calls per review cycle and audit records complete without manual reconstruction; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One approved MCP server and one identity provider; final policy approval and incident response remain security. Implement one approved input format, a bounded representative case set and the first two task modules: authenticate agents and MCP clients before tool calls; issue delegated scoped tokens for user-on-behalf actions. Support the third module with operator review: evaluate fine-grained permission rules per request. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around per-call authorization decisions with signed audit records. Retain the explicit scope boundary: One approved MCP server and one identity provider; final policy approval and incident response remain security.

What the build depends on. Agent and tool registration, token issuance, asynchronous policy evaluation, reviewer access and tested export formats. High-assurance deployment requires specialist security QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved MCP server and one identity provider; final policy approval and incident response remain security.

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined tool and agent package. Offer a monthly production allowance after repeat demand. Quote complex multi-tenant or regulated deployments separately. These are test prices, not market benchmarks. Package the initial sale as one bounded per-call authorization decisions with signed audit records. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce standing access while keeping a reviewable record of every agent tool call. Demonstrate a concrete per-call authorization decisions with signed audit records using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Platform and security teams connecting AI agents to internal tools and third-party services professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample per-call authorization decisions with signed audit records from a small authorized input set, with a transparent calculation of blocked unauthorized calls per review cycle and audit records complete without manual reconstruction and no promised savings.

The first 30 days

1. Week 1: interview five platform and security teams connecting AI agents to internal tools and third-party services and inspect a recent example of agents call tools with standing credentials, so permissions are broad, approvals are manual and audit records are incomplete.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure blocked unauthorized calls per review cycle and audit records complete without manual reconstruction, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Blocked unauthorized calls per review cycle and audit records complete without manual reconstruction. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Blocked unauthorized calls per review cycle and audit records complete without manual reconstruction; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs per-call authorization decisions with signed audit records. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved policies, tool scopes and review examples, together with reliable delivery for a narrow security niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for platform and security teams connecting AI agents to internal tools and third-party services. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Permit.io MCP Gateway, OpenBox, Stytch Connected Apps, custom in-house gateways and manual review processes. Compare this product with the buyer's present method on blocked unauthorized calls per review cycle and audit records complete without manual reconstruction. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Token issuance, policy evaluation, storage, reviewer hours, client revision rounds and licensed source credentials. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of per-call authorization decisions with signed audit records. Track cost per accepted output, including correction work, unsuccessful cases and support.