Company Data API vs Scraping: What to Build On
A builder's comparison of scraping pipelines and verified company data APIs, weighed on provenance, identity resolution and true maintenance cost.
Articles on where go-to-market data is going, playbooks you can run today, and reports on what the data says - written by the team building the agents that source, enrich, verify and deliver it.
Explore 64 guides to AI agents, prospecting, business data and reliable delivery, with examples and sources.
A builder's comparison of scraping pipelines and verified company data APIs, weighed on provenance, identity resolution and true maintenance cost.
The modern data stack analyzes what happened. Agentic data infrastructure discovers, verifies and streams new intelligence. A guide to where each belongs.
A developer's evaluation checklist for any person data API: coverage, contact verification, provenance, idempotent delivery and scoped access.
How to evaluate a company enrichment API as data infrastructure: coverage, waterfall behavior, verification, idempotent delivery and provenance.
A code-level comparison of the three most-asked-about agent building frameworks, with the same pipeline built in each and an honest build-vs-buy verdict.
A workload-first framework for picking a vector database for RAG, with a worked sizing example, pgvector vs Pinecone guidance, and a decision checklist.
Agentic RAG turns retrieval into a decision loop: agents that plan queries, re-retrieve on gaps, and verify answers. A concrete architecture walkthrough.
A stage-by-stage walkthrough of a production RAG pipeline - ingest, chunk, embed, retrieve, rerank, generate - with the failure modes at every step.
RAG retrieves knowledge at answer time; fine-tuning trains it into the weights - what each changes, the cost and freshness trade-offs, and when each one wins.
Retrieval-Augmented Generation grounds LLM answers in retrieved documents - the definition, the pipeline step by step, and why RAG citations matter to marketers.
Reserve-then-settle ledgers, per-run ceilings, graceful degradation and idempotency - the four mechanics that make autonomy financially safe.
Budget caps are only real if something is checked before the money leaves. Inside the ledger and the degradation ladder.
The hosted MCP server: one config entry, the whole data catalog, the same credit guardrails.
Open a workspace and the playbook library is waiting - describe the outcome and the agents carry it end to end, on your plan's monthly credits.