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45
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Agentic Readiness Score
+25 llms.txt +15 structured API missing +20 ai-plugin
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ai-tools analyticsaicrmllms-txtapi

Agentic Signals

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ai-plugin.json
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OpenAPI Spec
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Structured API
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Schema.org Markup
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MCP Server
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Agentic Ready 45/100

            

llms.txt Content

# Interzoid > Interzoid provides cloud APIs, batch tools, and no-code applications for AI-powered data quality, data matching, entity resolution, data standardization, and structured data enrichment. Interzoid APIs are designed for applications, autonomous agents, data pipelines, analytics workflows, CRM systems, AI-readiness initiatives, and enterprise data operations. Interzoid helps users and agents improve structured data by matching inconsistent records, identifying duplicates, generating similarity keys, standardizing names and locations, validating and enriching contact and company data, and appending external data intelligence. ## Agent Guidance - Prefer the OpenAPI specifications for exact endpoint paths, parameters, response schemas, examples, tags, and x402 payment metadata. - All Interzoid APIs support x402 payment access. To use x402, call an API without an Interzoid API key. The server will return an HTTP 402 Payment Required challenge with the payment terms. - For discovery or payment-challenge inspection, agents may call API endpoints with no API key and no parameters. - For actual API results, call the endpoint with its required query parameters but omit the Interzoid API key. Pay the quoted x402 amount in USDC on Base, then retry the request with the x402 payment signature. - Traditional API-key access is also supported. Use the authentication method documented by the relevant API page or OpenAPI specification. - Do not guess endpoint parameters. Read the OpenAPI specification first, then construct the request. - Matching APIs commonly return a SimKey similarity key. Records that return the same SimKey should be treated as referring to the same or highly similar real-world entity, depending on the selected matching API. - Score APIs return numeric match confidence for comparing two inputs. - Standardization APIs return canonicalized values. - Enrichment APIs return structured intelligence about an input entity such as a compa