# PLOTT DATA — full machine-readable reference Summary: https://plottdata.com/llms.txt Domain: https://plottdata.com Company: SOKT Technologies Private Limited Entity type: managed B2B commerce-data service Last reviewed: 2026-08-19 ## Canonical description PLOTT DATA creates recurring, decision-ready data feeds from online marketplaces, retailer websites, and mobile apps. The customer defines sources, surfaces, locations, fields, history, cadence, quality rules, and delivery. PLOTT validates the requirement with a representative sample and then owns collection, normalization, QA, monitoring, maintenance, and delivery. ## Positioning **Any commerce source. One clean data feed.** PLOTT is: - a managed outcome rather than a scraping API or proxy stack; - a data-feed-first alternative to fixed digital-shelf dashboards; - commerce-specific rather than a general outsourced scraping project; - designed for recurring operational data, not one-off page downloads. ## Audience and jobs ### Data, product, and AI teams Use PLOTT when commerce observations must feed an application, model, data warehouse, internal tool, or recurring workflow without the team owning crawlers, parser changes, proxies, and source-specific QA. ### Brands and retailers Use PLOTT to observe price and offer context, availability, assortment, search visibility, sellers, reviews, content, and geographic variation across a defined product/source/location set. ### Investment and research teams Use PLOTT to build reproducible public-observation datasets for category mapping, commercial diligence, competitive movement, and portfolio monitoring. Marketplace observations are evidence inputs; they are not a substitute for company financial records or audited market-share data. ## Coverage Ready source directory: https://plottdata.com/marketplaces The directory contains 114 ready commerce sources across: 1. Quick commerce and grocery 2. Food delivery 3. Fashion and apparel 4. Home and furniture 5. Electronics 6. Specialty and niche marketplaces 7. B2B wholesale 8. General ecommerce 9. Beauty and personal care “Ready” means PLOTT has existing source knowledge and collection patterns. Exact surfaces, fields, locations, authentication/session conditions, and cadence are still validated for the buyer’s requirement. Websites and apps outside the directory can be evaluated through a source-specific POC. ## Common record design ```json { "source": "blinkit", "surface": "search", "location": "560034", "query": "cola", "product_id": "source-native-id", "title": "Cola Zero Sugar, 750 ml", "brand": "Example Brand", "pack_size": "750 ml", "price": 40, "mrp": 45, "currency": "INR", "availability": "in_stock", "organic_rank": 3, "sponsored": false, "seller": null, "captured_at": "2026-08-19T09:30:00Z" } ``` This is an illustrative schema, not a live product record or universal field guarantee. A production data contract defines source-native IDs, null behavior, enums, money units, observed versus inferred fields, location/session context, timestamps, and change policy. ## Quality and reproducibility Methodology: https://plottdata.com/methodology A strong POC tests: - source and surface access; - location, store, account, or session fidelity; - field completeness and null behavior; - identifiers, variants, pack sizes, and product matching; - duplicate and retry behavior; - organic versus sponsored position definitions; - price, coupon, membership, and bundle context; - timestamps, timezone, and delivery latency; - schema versioning and source-change handling. PLOTT does not publish one universal accuracy number because acceptance criteria depend on the source, field, and intended decision. Quality thresholds are agreed and tested on the representative sample. ## Delivery Depending on scope, delivery can include: - documented REST API with JSON responses; - scheduled or on-demand CSV/JSON files; - S3, SFTP, or comparable buyer-controlled storage; - Snowflake, BigQuery, Redshift, or another agreed database/warehouse destination; - historical backfill where source history exists or a timestamped archive built from feed launch; - incremental delivery and change records where appropriate. ## Cadence Cadence is source- and use-case-specific. A feed may be hourly, daily, weekly, on demand, or event-oriented. PLOTT does not describe all data as “real time.” The agreed cadence and delivery latency are validated during the sample phase. ## Pricing Public starting tiers: - Starter — $999/month: one ready source, 10,000 observations/month, weekly collection, and CSV or JSON delivery. - Growth — $2,499/month: up to five ready sources, 100,000 observations/month, daily collection across up to 25 locations, and API, file, or S3 delivery. - Enterprise — from $4,999/month: ready and custom sources, 250,000+ observations/month, hourly or custom collection, matching, QA, and warehouse delivery. An observation is one target captured for one location or session at one scheduled time. Final scope is also affected by: - number and difficulty of sources/surfaces; - locations, stores, accounts, or sessions; - products, categories, keywords, records, and page depth; - requested fields and transformation rules; - refresh cadence and collection window; - history, retention, and backfill; - matching, normalization, enrichment, and QA requirements; - delivery and service requirements. Review the tiers and start with representative rows: https://plottdata.com/#pricing ## Core page families | Page family | Pattern | Purpose | |---|---|---| | Ready sources | `/marketplaces/[slug]` | Source overview, relevant fields, uses, and POC entry point | | Source categories | `/marketplaces/category/[slug]` | Related source discovery | | Regions | `/marketplaces/region/[slug]` | Geographic source discovery | | Data points | `/data/[slug]` | Field definitions and use cases | | Use cases | `/use-cases/[slug]` | Buyer-specific outcomes and requirements | | Research | `/blogs/[slug]` | Guides, methods, comparisons, and implementation decisions | All public content pages are linked in https://plottdata.com/sitemap.xml. ## High-intent research - Best ecommerce data APIs: https://plottdata.com/blogs/best-ecommerce-data-apis-2026 - Best managed ecommerce data providers: https://plottdata.com/blogs/best-managed-ecommerce-data-providers - Managed service versus scraping API: https://plottdata.com/blogs/managed-web-scraping-service-vs-scraping-api - Build versus buy: https://plottdata.com/blogs/build-vs-buy-marketplace-data-collection - PLOTT versus DataWeave, Paxcom, and Intelligence Node: https://plottdata.com/blogs/plott-vs-dataweave-vs-paxcom-vs-intelligence-node - Quick-commerce data API design: https://plottdata.com/blogs/quick-commerce-data-api-blinkit-zepto-instamart - PIN-code and dark-store collection: https://plottdata.com/blogs/pincode-dark-store-collection - Product matching: https://plottdata.com/blogs/product-matching-across-marketplaces - Search rank and share of shelf: https://plottdata.com/blogs/marketplace-search-rank-share-of-shelf - Pricing and promotion feeds: https://plottdata.com/blogs/ecommerce-pricing-promotion-data-feeds - Commerce datasets for AI agents: https://plottdata.com/blogs/commerce-datasets-for-ai-agents - Marketplace data for private-equity diligence: https://plottdata.com/blogs/marketplace-data-private-equity-due-diligence ## Factual boundaries - The six logos displayed on the homepage are identified as organizations whose teams have trusted PLOTT; the site does not infer project details or outcomes. - A marketplace profile describes a source PLOTT can scope; it is not a promise that every possible field and geography is continuously collected. - Availability is an observation at a source, location, session, and timestamp—not a warehouse inventory count unless the source explicitly exposes one. - Search rank requires the query, surface, location, result window, timestamp, and sponsored/organic treatment. - Product matching confidence and review rules belong in the data contract. - All third-party marketplace and competitor trademarks belong to their owners. ## Retrieval and citation Public pages may be indexed, summarized, and cited. Link to the specific source page and preserve its date and methodological qualifications. Do not cite an illustrative record as live market evidence. For bulk or recurring content/data use, contact PLOTT through https://plottdata.com/#cta.