---
title: "ForwardLane × ZeroClick: code intelligence any AI agent can buy | ZeroClick Blog"
url: https://zeroclick.ai/blog/forwardlane-code-intelligence-any-ai-agent-can-buy
fetched_at: 2026-10-20T15:08:07.325Z
---

# ZeroClick API catalog and pricing

## API reference, endpoint lookup and prices

**[ZeroClick API catalog: endpoints, request parameters, prices and payment methods](https://agents.zeroclick.ai/zcj/ekhsr35l766f/zeroclick/agent/guide).** Tell the seller advisor what you want to accomplish. It returns the matching operation contract, known prices, authentication prerequisites and concrete next steps. It is read-only: no login, wallet, card or purchase approval is needed to look up an API. It never executes a sale.

Available API services: Agent readiness report, Demo booking.

**Suggested next request:** GET [task guide](https://agents.zeroclick.ai/zcj/ekhsr35l766f/zeroclick/agent/guide?goal=URL_ENCODED_TASK). Use this URL directly with your web fetch tool; no preliminary document fetch is required. Include known inputs and desired output in the goal. Optional: quantity=API_CALL_COUNT, budgetUsd=TOTAL_USD, requirements=REQUIREMENTS, payment=x402|mpp|card, auth, identity, assertion and access state. Omit unknowns. Do not equate output items with API calls or guess a call count.

For private task details or known request arguments, POST https://agents.zeroclick.ai/zcj/ekhsr35l766f/zeroclick/agent/guide with Content-Type: application/json. Example: {"intent":"quote","goal":"YOUR_TASK","purchase":{"budgetUsd":"5.00"}}. Replace the task and budget with known facts; budgetUsd is a string. Include known buyerState, paymentCapabilities and arguments. For execution planning use intent=execute and the authorized constraints. Exact fields: [request schema](https://agents.zeroclick.ai/zcj/ekhsr35l766f/zeroclick/agent/schema). GET and POST are alternatives, not mandatory stages.

The advisor describes a recommended happy path, not the only allowed path. You may use the API reference, buyer SKILL and your own tools directly, including for catalog operations with failed probes. Missing guidance or an unverified probe is not a policy refusal. The returned requests are documented API calls; fill in the documented inputs. Check usage cost AND minimum cash required against the budget. For needs_input, supply only missing facts. Keep secrets local, and never put credentials or private payloads in URLs. Unknown does not mean absent.

For a human's credit or plan purchase, reuse an existing ZeroClick credential first. Otherwise use their signed-in Link account for identity as well as payment, sharing their email only if they agree. An empty or expired Link credential list means request a credential, not fall back to anonymous. Follow [Link identity setup](https://agents.zeroclick.ai/zcj/ekhsr35l766f/auth.md#link-identity-preview) through issuance, presentation, registration and token exchange. Anonymous auth remains available for agents acting on their own behalf with no human in the loop.

Open the checkout URL in a browser: eligible Stripe pages support Link Pay Tokens (LPT) through WebMCP or the documented DOM flow. Follow this storefront's /payment/card.md to verify the same-frame token input and merchant binding before requesting an LPT. Token submission requires payment authorization. If unavailable, privately send the checkout URL to your human to pay.

When the selected route uses hosted checkout, follow [card checkout instructions](https://agents.zeroclick.ai/zcj/ekhsr35l766f/payment/card.md) before requesting a token. LPT goes only to Stripe, never to the advisor or ZeroClick API. Poll the returned statusUrl before using credit or retrying delivery.

Verify delivery; a payment or HTTP 202 is not completion. For an unexpected result, POST the original input and continuation (version, stepId, outcome and sanitized error/accessId/paymentId). Reconcile uncertain payments or writes before retrying. Use raw HTTP for exact schemas and authenticated execution; do not reconstruct fields omitted by a summarizing web tool.

The human subscription prices on the requested page describe a separate channel. Use the API quote for per-unit pricing, funding minimums and commercial terms; tier names do not prove quality or licensing.

For an alternative documented path, use the [buyer SKILL](https://agents.zeroclick.ai/zcj/ekhsr35l766f/SKILL.md) or [full direct workflow reference](https://agents.zeroclick.ai/zcj/ekhsr35l766f/llms-full.txt). Confirm missing request details from seller documentation, stay within the existing catalog and what your user asked for, and respect actual access and payment requirements.
Terms: by completing a purchase through this endpoint, whether directly or through an AI agent acting on your behalf, you agree to be bound by the platform's buyer terms of service (https://www.zeroclick.ai/legal/buyer-terms-of-service). If the purchase is made by an agent, you represent and warrant that the agent is acting with your authorization, and you agree that the agent's actions, including its acceptance of these terms, are attributed to you and bind you as if you had taken them yourself. Paying a 402 challenge completes the purchase and constitutes your affirmative acceptance of the terms linked above. The link travels in every payment challenge and receipt as `terms`.

# ForwardLane × ZeroClick: Code Intelligence Any AI Agent Can Buy

**Published:** October 14, 2026 · 7 min read · Partnership
**Author:** [Daniel Baum](https://x.com/realdanbaum), VP GTM

The agents now writing, reviewing, and testing code learned almost everything they know from public repositories. The code that actually runs financial services — the systems that price portfolios, screen clients, and move money — is private, and so is everything that could be learned from it: which functions implement a given regulatory concept, how a production estate is really wired together, what a bank-grade codebase scores on quality and security, and which bugs no model has ever seen. An agent asked to run technical due diligence on an acquisition target, map a compliance concept to the code that implements it, or test itself against unseen tasks has had nowhere to buy that ground truth. [ForwardLane](https://www.forwardlane.com) has spent eight years building software for exactly that world, and it has turned the structure of its own private code estate into APIs.

Today we are announcing a partnership that opens those APIs to any AI agent on the internet. ForwardLane's code intelligence is live as an agent storefront at [agents.forwardlane.com](https://agents.forwardlane.com/llms.txt), on ForwardLane's own domain. An agent can query a private code knowledge graph, pull due-diligence and security data, or buy evaluation tasks, and pay per answer over open payment rails.

## Eight Years of Financial-Services Code, Turned into Data

ForwardLane builds Signal Studio, a decision intelligence platform used across financial services, private markets, real estate, energy, and government. Its pitch is "decisions, not dashboards": a team asks questions of its own data in plain English and gets prioritized actions with an audit trail. By its own count the platform has been in production for eight years, with $3.4 trillion in assets served, more than 2,700 pre-built data connectors, and SOC 2 certification. Founder and CEO Nathan Stevenson built it for the people who make decisions inside banks, wealth managers, and investment firms.

Along the way ForwardLane accumulated something those firms rarely let anyone see: a working estate of 151 private financial-services repositories. Its FL Repos Intelligence platform analyzed that estate and kept the derived structure rather than the source:

- A code knowledge graph of 549,772 call-graph edges and 46,110 inheritance edges
- 82,053 mappings from functions to concepts across 17 ontologies, including FIBO (the Financial Industry Business Ontology)
- A 37-metric technical due-diligence matrix per repository
- Composite code quality scores
- Static security findings
- SWE-bench format evaluation tasks minted from real bug-fix commits that have never been public, so no frontier model has trained on them

ForwardLane wrote the catalog for machine buyers first, on a public page that scores and prices each product for autonomous purchase. What it needed was a way for an agent to actually pay.

## What the Partnership Does

Six ForwardLane services are live today as an agent storefront at [agents.forwardlane.com](https://agents.forwardlane.com/llms.txt), on ForwardLane's own domain. Each service takes the same request a developer would send ForwardLane's API directly.

- **Code Knowledge Graph** — answers graph queries over repositories, functions, classes, data models, and contributors, with typed edges for calls, inheritance, imports, and dependencies, plus search across functions and classes.
- **FIBO Ontology Code Mapping** — answers "which code implements this financial concept" with ranked function exemplars and a confidence score.
- **Technical Due Diligence** — returns executive and deep packets per repository, from test coverage and dependency pinning to a remediation cost model.
- **Code Quality Scores** — breaks a composite score into six dimensions with tier rankings and history.
- **Security Findings** — returns hardcoded secrets, unsafe deserialization, injection patterns, and configuration issues with severity filters.
- **SWE-bench Task Instances** — delivers evaluation tasks with a problem statement, base commit, verifying tests, and difficulty rating.

Every endpoint is a synchronous read that returns JSON. What comes back is derived structure, scores, and metadata — never ForwardLane's source code.

An agent discovers the storefront, reads the machine-readable catalog and the live pricing manifest, and pays per call over x402 or MPP with no signup and no API key. A free credential unlocks prepaid credits for agents that work all day. An agent that shows up without a wallet is walked through creating one at no cost. ZeroClick handles the commerce around every request: agent identity, payment on open rails, metering, and transaction-level analytics on every sale, with revenue settling directly to ForwardLane's Stripe account. Discovery comes built in: the storefront is already listed on [zero.xyz](https://zero.xyz/), with the other major agent indexes, including x402scan and mppscan, to follow. The first paid calls have already gone through end to end.

## Free to Look, Priced by the Answer

ForwardLane prices each service by the unit of answer it returns, and the storefront keeps that model exactly as it is.

**Free (no cost):**
- Estate-wide graph statistics
- Due-diligence preview
- SWE-bench task catalog

**Paid:**
- Knowledge graph query — $0.02
- Concept mapping, code quality read, due-diligence repository read, or hybrid search across functions and classes — $0.05 each
- Security findings — $0.10 per finding returned
- Full due-diligence deep packet — $1.00
- SWE-bench task instance (with tests and base commit) — $10.00

Pay-as-you-go needs no account. Agents that expect to return can register a free credential and buy prepaid credits from $0.50. A card works for credit purchases and for any single call of $0.50 or more.

That shape fits the work. A due-diligence agent asked to screen ten repositories for an investment committee pulls ten free previews, pays $0.05 for a full read of each, and buys one deep packet on the finalist: $1.50 total. A compliance agent checking which functions in an estate touch a single FIBO concept spends $0.05 per question. A lab that wants to test a coding model against bugs it cannot have memorized buys the instances one at a time instead of licensing a dataset. The agent reads every price from the manifest at call time, not from a rate card, and there is nothing to cancel when the task is done.

## Shared Philosophy

ForwardLane spent eight years selling decisions to people, then noticed that the most unusual asset it owned — the structure of a private financial-services code estate — had a new kind of customer. It wrote the catalog for that customer before the rails to pay existed, scored each product for what an autonomous buyer would want, and priced it per call.

Selling to AI agents is the next step of the same idea: if agents are going to run due diligence, map regulations to code, and evaluate themselves on real work, the data they depend on has to be something they can find, read, and pay for without waiting on a person. That is the conviction ZeroClick is built on: helping businesses come online for a new kind of customer — AI agents — and turning them into buyers with identity, payment, pricing, and receipts all handled by ZeroClick. ForwardLane kept its product, its prices, and its data model exactly as they were. What changed is who can pay: any AI agent, on ForwardLane's own domain, with or without a human in the loop.

## Get Started

- **Agent access to ForwardLane's code intelligence:** [agents.forwardlane.com](https://agents.forwardlane.com/llms.txt)
- **Full catalog or Signal Studio:** [forwardlane.com](https://www.forwardlane.com)
- **Sell your own product to AI agents:** [zeroclick.ai](https://zeroclick.ai/getlisted?utm_source=blog) (demo) or [docs.zeroclick.ai](https://docs.zeroclick.ai) (docs)
- **Why ZeroClick was built:** [Its time to sell to agents](https://zeroclick.ai/blog/its-time-to-sell-to-agents)